FINAL PROGRAM AND
BOOK OF ABSTRACTS
The 26th Chinese Control and Decision Conference
(2014 CCDC)
Hunan Fenglin Hotel, Changsha, China
May 31 – June 2, 2014
Organizers
-Northeastern University, China
-IEEE Industrial Electronics(IE) Chapter, Singapore
- IEEE Harbin Section Control Systems Society Chapter, China
- Hunan University of Technology, China
- Central South University, China
Technical Co-Sponsors
-IEEE Control Systems Society
-Systems Engineering Society of China (SESC)
-Chinese Association for Artificial Intelligence (CAAI)
-Technical Committee on Control Theory, Chinese Association of Automation
I
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IEEE Catalog Number: CFP1451D-CDR
ISBN: 978-1-4799-3706-6
International Advisory Committee
Chair:
Zhang, Si-Ying; China
Members:
Basar, Tamer; Univ. of Illinois at Urbana-Champaign, USA
Krstic, Miroslav; Univ. of California,USA
Bittanti, Sergio; Politecnico di Milano, Italy
Lewis, Frank; The Univ. of Texas at Arlington, USA
Cao, Xi-Ren; Hong Kong Univ. of Sci. & Tech., Hong Kong, China
Mareels, Iven, Univ. of Melbourne, Australia
Cassandras, Christos G; Boston Univ., USA
Morse, A. Stephen, Yale Univ., USA
Chai, Tianyou; Northeastern Univ., China
Sun, Youxian; Zhejiang Univ., China
Fu, Minyue; Univ. of Newcastle, Australia
Tao, Gang; Univ. of Virginia, USA
Goodwin, Graham C.; Univ. of Newcastle, Australia
Teel, Andrew; Univ. of California, USA
Hill, David J.; The Univ. of Hong Kong, Hong Kong, China
Huang, Jie; Chinese Univ. of Hong Kong, Hong Kong, China
Huang, Lin; Peking Univ., China
Isidori, Alberto; Università di Roma "La Sapienza", Italy
Kaynak, Okyay; Bogazici Univ.,Turkey
Khalil, H. ; Michigan State Univ., USA
Tempo, R.; Politecnico di Torino, Italy
Wang, Guodong; Northeastern Univ., China
Wang, Tianran; Shenyang Inst. of Automation, CAS, China
Wang, Zicai; Harbin Institute of Tech., China
Wang, Zhongtuo; Dalian Univ. of Tech., China
Yin, Gang George; Wayne State Univ., USA
Organizing Committee
General Chairs:
Yang, Guang-Hong; China
Zhang, Changfan; China
Wu, Min; China
General Co-Chairs:
Li, Zhengguo; Singapore
Liu, Jianchang; China
Xiao, Shenping; China
He, Yong; China
Xu, Xinhe; China
Local Arrangement Chairs:
Cao, Hongwu; China
Long, Yonghong; China
Cao, Weihua; China
Treasurers:
Li, Shuhua; China
Xie, Wenxiang; Singapore
International Liaison:
Cai, Wenjian; Singapore
Luo Fanglin; Singapore
Liu, Lu; Hong Kong, China
Publication Chairs:
Cao, Hongwu; China
Zhu, Xing; Singapore
Publicity Chair:
Zhang, Jingbing; Singapore
Wang, Yuan; USA
Secretaries:
Teng, Rong; China
Peng, Gao; China
Li, Fei; China
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International Technical Program Committee
Chairs:
Wen, Changyun; Singapore
Jiang, Zhong-Ping; USA
Invited Session Chair:
Lin, Zongli; USA
Invited Session Co-Chair:
Lv, Jinhu; China
Ren, Wei; USA
Interactive Session Chair:
Jing, Yuanwei; China
Members:
Ahn , Hyo-sung ; Korea
Blas , Vinagre ; Spain
Cai, Wenjian; Singapore
Cao , Zhenwei ; Australia
Cao, Jinde; China
Celikovsky , Sergej ;Czech Republic
Chai , Li ; China
Chen, Michael Z. Q. ; HongKong, China
Chen , Weihai ; China
Chen, Jun; USA
Dashkovskiy , Sergey ; Germany
Debeljkovic , Dragutin Lj. ; Serbia
Dong , Jiuxiang ; China
Dong, Wei; China
Duan , Zhisheng ; China
Dumitru , Baleanu ; Turkey
Fan , Huijin ; China
Fang , Yongchun ; China
Gao , Liqun ; China
Gao , Xianwen ; China
Georgi , M.DIMIROVSKI ; Turkey
Gong , Dunwei ; China
Gong, Chunying; China
Guan , Zhi-hong ; China
Guo , Ge ; China
Guo, Lei; China
Han , Yang ; China
He, Yong; China
Ho , Daniel ; Hong Kong, China
Hong , Yiguang ; China
Hou , Zhongsheng ; China
Hovakimyan , Naira ; USA
Hu, Dewen; China
Hu,Qinglei; China
Huang , Min ; China
Iasson, Karafyllis ; Greece
Ito , Hiroshi ; Japan
Jiang , Bin ; China
Lam, James; Hong Kong
Lanusse , Patrick ; France
Li, Guoqi; Singapore
Li, Zhengguo; Singapore
Lin , Chong ; China
Lin , Zhiyun ; China
Liu , Shixin ; China
Liu , Xingwen ; China
Liu, Tengfei; China
Ma , Hongbin ; China
Machado , J. Tenreiro ; Portugal
Man , Zhihong ; Australia
Mao , Jianfeng ; Singapore
Mao , Zhizhong ; China
Mao, Kezhi; Singapore
Monje , Concha ; Spain
Niu , Yugang ; China
Pepe , Pierdomenico ; Italy
Petras , Ivo ; Slovakia
Pogromsky , A. Y. ; Netherlends
Porfiri , Maurizio ; USA
Qi , Ruiyun ; China
Shi , Peng ; UK
Shi , Yang ; Canada
Song , Yongduan ; China
Song , Zhihuan ; China
Stefanovic , Margareta ; USA
Su , Rong ; Singapore
Sun , Ximing ; China
Sun , Zhendong ; China
Tan , Ying ; Australia
Tang , Jiafu ; China
Tang , Lixin ; China
Tenreiro , Machado ; Portugal
Tsinias , John ; Greece
Vinagre , Blas ; Spain
Wang , Dingwei ; China
Wang , Leyi ; USA
Wang , Yanwu ; China
Wang , Youqing ; China
Wang, Yahui; China
Wei , Xiukun ; China
Wu, Yuqiang; China
Xie , Xuejun ; China
Xin , Xin ; Japan
Xu , Li ; Japan
Xu , Shengyuan ; China
Yang , Chenguang ; China
Ye , Dan ; China
Yi, Jianqiang; China
Yin , Gang George ; USA
Zhai , Guisheng ; Japan
Zhang , Guoshan ; China
Zhang , Huaguang ; China
Zhang , Qingling ; China
Zhang , Weihai ; China
Zhang , Yingwei ; China
Zhang , Yongpeng ; USA
Zhang, Lingling; China
Zhao , Chunhui ; China
Zhao , Jun ; China
Zheng , Weixing ; Australia
Zhou , Jing ; Australia
Zhou, Bin; China
Zuo, Zhiqiang; China
CONTENTS
Welcome Message ··················································································································1
General Information ·················································································································5
Conference Information ···········································································································7
Keynote Addresses and Distinguished Lectures······································································9
Program at a Glance··············································································································20
Technical Programmes ··········································································································23
Saturday Sessions ·················································································································25
Sunday Sessions ···················································································································35
Monday Sessions ·················································································································· 52
Book of Abstracts ···················································································································75
Author Index ························································································································193
Panel of Reviewers ··············································································································209
Welcome Message From the General Chairs
Prof. Guang-Hong Yang
Prof. Changfan Zhang
General Chair of CCDC
General Chair of CCDC
Dear Friends and Colleagues,
On behalf of the Organizing Committee, it is our greatest pleasure to welcome you to the inaugural 26th
Chinese Control and Decision Conference (2014 CCDC), which is governed and organized by Northeastern
University, China, IEEE Industrial Electronics (IE) Chapter, Singapore, and IEEE Harbin Section Control
Systems Society Chapter, and locally organized by Hunan University of Technology, China and Central
South University, China. The conference is co-sponsored by IEEE Control Systems Society (CSS);
Systems Engineering Society of China (SESC); Chinese Association for Artificial Intelligence
(CAAI);Technical Committee on Control Theory, Chinese Association of Automation, held at Hunan Fenglin
Hotel, Changsha, China, on May 31-June 2, 2014.
The 2014 CCDC continues to attract broad interest throughout the world, with 1497 submissions and
acceptance of 1016 papers. This reflects the increased interest in our field, and creates a difficult workload
in evaluating the papers and organizing a cohesive program. We owe great thanks to our International
Advisory Committee, led by Zhang, Si-Ying. We were fortunate to have an exceptional International
Program Committee (IPC) that sorted through the evaluations and integrated the individual submissions
into the final technical program described in this volume. We also want to thank our Organizing Committee
for their invaluable assistance in arranging the diverse offerings at the conference, from registration and
local arrangements to technical programs. Last but not least, we would like to express our appreciation to
the support from Northeastern University, China, Hunan University of Technology, China and Central South
University, China.
The International Program Committee (IPC) has assembled a comprehensive technical program that
covers a broad spectrum of topics in Control and Decision, Automation, Robotics and Emerging
Technologies. The 2014 CCDC technical program begins on Saturday May 31, ends on Monday June 2,
and comprises 107 sessions. Among the 107 technical sessions, there are 98 regular sessions, 9
interactive sessions. We thank the authors, keynote/distinguished lecture speakers, invited session
organizers and session chairs for their tremendous contributions towards a top-quality program.
Besides the technical sessions, the highlights of the 2014 CCDC include the keynote/distinguished
speeches given by distinguished individuals from USA, UK and China.
Apart from attending the technical program, you are encouraged to experience the magic of Changsha,
1
China.
As a final note, We want to thank the large number of volunteers that have helped in making this conference
possible. Without you, the monumental task of organizing this conference would be significantly beyond our
capabilities. With your assistance, we are able to offer one of the world’s premier technical conferences in
attractive venues at affordable prices. Thank you for your invaluable support!
It is our great pleasure to have you with us at the conference. Best wishes, and may you have a wonderful
and stimulation stay in Changsha.
General Chair of 2014 CCDC
General Chair of 2014 CCDC
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Message From Technical Chairs
Prof. Changyun Wen
Prof. Zhong-Ping Jiang
Technical Program Chair
Technical Program Chair
Dear Friends and Colleagues,
On behalf of the Technical Program Committee, we are pleased to welcome you to Changsha and to the
26th Chinese Control and Decision Conference (2014 CCDC).
The annual event of CCDC has proven to be an excellent forum for scientists, researchers, engineers and
industrial practitioners throughout the world to present and discuss the latest technology advancement as
well as future directions and trends in Control, Decision, Automation, Robotics and Emerging Technologies,
and to set up useful links for their work. 2014 CCDC received overwhelming responses with a total of 1497
submissions from 22 countries/regions. All the submitted papers were processed by the Technical Program
Committee which consist of 103 members who are active and renown experts with vast professional
experience in various areas of the conference. All the members worked professionally, responsibly and
diligently in soliciting expert international reviewers. Besides evaluations from reviewers, each member also
provided his/her own assessments on the papers assigned, so as to ensure that only high-quality papers
would be accepted. Their hard work has enabled us to put together a very solid technical program for our
delegates. The technical program includes 1016 papers for presentation in 98 oral sessions and 9
interactive sessions.
Besides the parallel technical sessions, there are also 5 keynote speeches and 6 distinguished lectures to
be delivered by eminent researchers. These talks will address the state-of-the-art development and
leading-edge research activities in both theory and applications in Control, Decision, Automation, Robotics
and Emerging Technologies. We are indeed honored to have Professor Alessandro Astolfi of Imperial
College, Professor Dimitri Bertsekas of Massachusetts Institute of Technology, Professor Daizhan Cheng of
Chinese Academy of Sciences (CAS), Professor Jay A. Farrell of University of California at Riverside
and Academician Yanda Li of Tsinghua University as the keynote speakers, Professor Jie Chen of Beijing
Institute of Technology, Professor Seddik M. Djouadi of University of Tenneessee, Professor Magnus
Egerstedt of Georgia Institute of Technology, Professor Dewen Hu of National University of Defense
Technology, Professor Jing Sun of University of Michigan, Professor Qing-Chang Zhong of The University
of Sheffield as distinguished lecture speakers. Their presence would undoubtedly act prestige to the
conference. We would like to express our sincere appreciation to all of them for their contributions and
strong and enthusiastic supports to 2014 CCDC.
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To recognize Academician Zhang Si-Ying’s highly-regarded perseverance, character and academic
contribution and also to inspire, motivate and encourage young scholars in their research, we will present
the “Zhang Si-Ying (CCDC) Outstanding Youth Paper Award” at 2014 CCDC. Based on reviewers'
comments and nominations as well as the evaluations of Technical Program Committee members, 88
papers were selected for the consideration of the Award by the Technical Program Committee. These
papers were sent to distinguished experts in the relevant areas for additional evaluations. Based on their
comments and recommendations, five papers were shortlisted as the finalists for the Award. During the
conference, the oral presentations of the five finalists will be further assessed by the 2014 CCDC Award
Committee consisting of Professor Alessandro Astolfi of UK, Professor Zhong-Ping Jiang of USA, Professor
Changyun Wen of Singapore, Professor Xinhe Xu of China and Professor Guang-Hong Yang of China. The
winner of the "Zhang Si-Ying Outstanding Youth Paper Award" will be determined by the Award Committee
after assessing the oral presentations.
A CD-ROM containing the PDF files of all the papers scheduled in the program and an Abstract Book will be
provided at the conference to each registered participant as part of the registration material. The official
conference proceedings will be published by the IEEE and included in the IEEE Xplore Database.
On behalf of the Technical Program Committee, we would like to thank all our reviewers for their expert
reviews which are invaluable to the Committee in making a fair decision on the acceptance/rejection of each
paper. We are also grateful to the distinguished International Advisory Committee members for their
invaluable support and assistance. Thanks also go to the dedication, diligence and commitments of the
Invited Session Chairs Professor Zongli Lin, Professor Jinhu Lv and Professor Wei Ren, Interactive Session
Chair Professor Yuanwei Jing and all the members of the Technical Program Committee. We would like to
gladly acknowledge the technical sponsorship provided by the IEEE Control Systems Society (CSS);
Systems Engineering Society of China (SESC); Chinese Association for Artificial Intelligence (CAAI);
Technical Committee on Control Theory, Chinese Association of Automation. We also wish to place our
hearty thanks to many friends, colleagues, and indeed family members who have helped completing the
technical program directly or indirectly. Last but not least, we are grateful for the strong and enthusiastic
support of all delegates including many old faces from around the world.
We hope that you will find your participation in 2014 CCDC in Changsha stimulating, rewarding, enjoyable
and memorable.
Changyun Wen
Technical Program Chair
Zhong-Ping Jiang
Technical Program Chair
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General Information
About Changsha
Changsha, the capital of Hunan province, is a famous ancient city with a history of 3,500 years. It used to be
a place of strategic importance in the Kingdom of Chu, and a famous prefecture of the Qin Dynasty
(221BC-207BC). Now Changsha is an important city with historical and cultural relics, and an ideal
destination of tourists in Hunan province.
Though 3,500 years have elapsed after the founding of Changsha city, people can still feel the past
prosperity of the ancient city from a great number of historical remains in the city. A woman corpse that has
been well preserved for more than 2,000 years astonished the world along with the discovery of over 3,000
precious cultural relics which were excavated from the Han tombs in Mangwangdui, making people in the
world gasp in admiration at the ancient civilization created by the ancient Chinese people. Yuelu Academy,
one of the four most famous academies in China, is widely accepted to be among the oldest academies in
the world.
Changsha is closely related to a great number of celebrities, including Qu Yuan, Jia Yi, Mao Zedong and Liu
Shaoqi, to name just a few; and Hunan First Normal College, the meeting venue of the Autumn Harvest
Uprising, Qingshui Pool and other historic sites remind tourists of the old stories.
There are also many natural scenic spots, including the Mount Yuelu which is pregnant with beauty and
vitality, the Xiangjiang River that flows through the whole city from south to north with the picturesque
Orange Isle quietly lying in it. All these jointly compose a melodious song.
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Transportation
By Air:
-Changsha Huanghua Airport is about 33.5km to Hunan Fenglin Hotel, and is about 45minutes taxi ride
away.
By Train:
-Changsha Railway Station is about 5.9km to Hunan Fenglin Hotel, and is 10-15minutes taxi ride away.
By Car:
-Changsha east Station is about 12.6km to Hunan Fenglin Hotel, and is about 25minutes taxi ride away.
-Changsha Car West Station is about 4.6km to Hunan Fenglin Hotel, and is about 10minutes taxi ride away.
Climate
Changsha experiences a humid subtropical climate (Köppen climate classification Cfa), with annual
average temperature being 16.8°C–17.2°C, 4.6°C in January and 28.6°C in July. Average annual
precipitation is 1422 mm., and the yearly frost-free period is 275 days.
The four seasons are distinct. The summers are long and hot, with heavy rainfall, and autumn is
comfortable with abundant sunlight. Winter is comparatively dry and rather brief, but cold snaps occur with
temperatures occasionally dropping below freezing.
Changsha neighboring areas include: Jiangxi province, cities and counties of Hunan, such as Tonggu
County, Wanzai County, Yichun City, Pingxiang City of Jiangxi province. Pingjiang County, Miluo city,
Xiangyin County of Yueyang; Heshan District, Taojiang County, Anhua County of Yiyang; Lianyuan city of
Loudi; Zhuzhou County, Liling City of Zhuzhou; Xiangtan County, Xiangxiang city of Xiangtan.
Tipping
China is one of those wonderful countries where tipping is not practiced and almost no one asks for tips.
Conference Venue
The 26th Chinese Control and Decision Conference (2014 CCDC) will be held at Hunan Fenglin Hotel in
Changsha , China from May 31 to June 2.
About Hunan Fenglin Hotel
No.43 Fenglin 1st Rd, Yuelu District, Changsha, Hunan Province, China.
Tel: 86 4000-13-4000
Fenglin Hotel is surrounded by Lishan scenery spot, Yueli cultural plaza,
Juzizhou, high-tech zone and Hunan university city. Banquet hall, western
restaurant, chess, table tennis, foot bath and different conference rooms are
available in the hotel.
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Conference Information
Chinese Control and Decision Conference (CCDC) is an annual international conference. The 26th Chinese
Control and Decision Conference (2014 CCDC) is the 26th of the series and will be held in Changsha, China
from May 31 to June 2 2014. The conference is co-organized by Northeastern University, China, IEEE
Industrial Electronics (IE) Chapter, Singapore, IEEE Harbin Section Control Systems Society Chapter,
Hunan University of Technology, China and Central South University, China.
Language
The official language of the conference is English.
Conference Registration
All conference attendees are required to register. Although Advance Registration is already closed,
delegates who did not participate in the Advance Registration can still register on-site at the Conference
Registration fees are as follows:
For the Authors from Mainland China
Category
IEEE Member
Non-IEEE Member
Advance Registration
(with papers)
2200 CNY
2400 CNY
On-site Registration
(without papers)
2200 CNY
2400 CNY
Advance Registration
(with papers)
SGD 460
SGD 500
On-site Registration
(without papers)
SGD 460
SGD 500
For Oversea Authors
Category
IEEE Member
Non-IEEE Member
Conference registration fee includes admission to all technical sessions, lunches, dinners and conference
banquet. It also includes a copy of the conference proceedings in electronic (CD-ROM) format.
Onsite Registration Hours and Location
Date: 30 May 2014 (Friday)
Time: 13:00-21:00
Venue: Hunan Fenglin Hotel
Banquet
Date: 1 June 2014 (Sunday)
Time: 18:00-21:00
Venue: Hunan Fenglin Hotel
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Keynote Address
2014CCDC
Keynote Addresses and Distinguished Lecturers
Keynote Address 1
Precision Mapping and Vehicle State Estimation for
Autonomous Highway Vehicles
Jay A. Farrell
University of California, Riverside, USA
Saturday, May 31, 2014
08:50-9:50
Hunan Hall of the 4th floor/四楼湖南厅
Abstract
Given recently publicized demonstrations of autonomous vehicles operating on public streets, various
countries are considering technical, legal, and ethical issues related to their legalization. Even without full
autonomy, intelligent transportation systems have high potential for improvement of highway safety and
throughput, especially after “where-in-lane” accuracy can be reliably achieved. This presentation will
discuss the role of control and systems theoretic methods related to practical autonomous vehicle
applications, particularly as they relate to automated construction of precise feature maps and reliable
real-time navigation with position accuracy at the decimeter level. Both applications require reliable and
automated data fusion from various sensor modalities: LIDAR, camera, global navigation satellite systems,
inertial measurements, etc. The presentation will survey and present modern methods for roadway feature
mapping and vehicle state estimation. Results from a demonstration at the US Department of
Transportation Turner Fairbanks Research Center will be included.
Biography
Jay A. Farrell earned B.S. degrees in physics and electrical engineering from Iowa
State University, and M.S. and Ph.D. degrees in electrical engineering from the
University of Notre Dame. At Charles Stark Draper Lab (1989-1994), he received the
Engineering Vice President's Best Technical Publication Award in 1990, and
Recognition Awards for Outstanding Performance and Achievement in 1991 and
1993. He is a Professor and two time Chair of the Department of Electrical
Engineering at the University of California, Riverside. He has served the IEEE Control
Systems Society (CSS) as Finance Chair for three IEEE CDC`s (`95, `01, and `03), on
the Board of Governors for two terms (`03-`06, `12-`14), as Vice President Finance
and Vice President of Technical Activities, as CSS General Vice Chair of IEEE
CDC-ECC 2011, as General Chair of IEEE CDC 2012, and as President in 2014. He
was named a GNSS Leader to Watch for 2009-2010 by GPS World Magazine in May
2009 and a winner of the Connected Vehicle Technology Challenge by the U.S.
Department of Transportation`s (DOT`s) Research and Innovative Technology Administration in July 2011.
He is a Fellow of the IEEE, a Fellow of AAAS, a Distinguished Member of IEEE CSS, and author of over
200 technical publications. He is author of the book "Aided Navigation: GPS with High Rate Sensors"
(McGraw-Hill 2008). He is also co-author of the books "The Global Positioning System and Inertial
Navigation" (McGraw-Hill, 1998) and "Adaptive Approximation Based Control: Unifying Neural, Fuzzy and
Traditional Adaptive Approximation Approaches" (John Wiley 2006).
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Keynote Address
2014CCDC
Keynote Address 2
Model reduction by moment matching
Alessandro Astolfi
Imperial College, UK
Saturday, May 31, 2014
10:10-11:10
Hunan Hall of the 4th floor/四楼湖南厅
Abstract
The model reduction problem for linear and nonlinear systems is addressed using the notion of moment. A
re-visitation of the linear theory allows to obtain novel results for linear systems and to develop a nonlinear
enhancement of the notion of moment. This, in turn, is used to pose and solve the model reduction problem
by moment matching for nonlinear systems, to develop a notion of frequency response for nonlinear
systems, and to solve model reduction problems in the presence of constraints on the reduced model.
Connections between the proposed results, projection methods, and interpolation theory are presented.
Applications to the model reduction of delay systems are also discussed.
Biography
Alessandro Astolfi was born in Rome, Italy, in 1967. He received the B.S. degree in
electrical engineering from the University of Rome "La Sapienza", Italy, in 1991, the
M.S. degree in Information Theory and the Ph.D. (with medal of honor) degree from
ETH-Zurich, Switzerland, in 1992 and 1995, respectively, and the Ph.D. degree from
the University of Rome "La Sapienza" in 1996. Since 1996, he has been with the
Electrical and Electronic Engineering Department, Imperial College London, London,
U.K., where he is currently Professor of Non-linear Control Theory and Head of the
Control and Power Group. From 1998 to 2003, he was also an Associate Professor at
the Department of Electronics and Information, Politecnico of Milano, Milan, Italy.
Since 2005, he is a Professor with the Dipartimento di Informatica, Sistemi e
Produzione, University of Rome "Tor Vergata". He is author of more than 100 journal papers, of 35 book
chapters and of over 200 papers in refereed conference proceedings. His research interests are focused on
mathematical control theory and control applications, with special emphasis for the problems of
discontinuous stabilization, robust stabilization, robust and adaptive control, and model reduction. A. Astolfi
is a Fellow of the IEEE and of the IET (UK). He is the recipient of the IEEE Control Systems Society Antonio
Ruberti Young Researcher Prize (2007) in "recognition of distinguished cutting-edge contributions by a
young researcher to the theory or applications of systems and control". He is also the recipient of the 2012
IEEE CSS George S. Axelby Outstanding Paper Award and of the IEEE CSS Distinguished Member Award
(in 2012).
10
Keynote Address
2014CCDC
Keynote Address 3
Convex Optimization: Theory and Algorithms
Dimitri Bertsekas
Massachusetts Institute of Technology, USA
Saturday, May 31, 2014
11:10-12:10
Hunan Hall of the 4th floor/四楼湖南厅
Abstract
We survey recent results on the theory and algorithms of convex optimization, and its applications in
large-scale optimization, inference/machine learning, signal processing, and large-scale and distributed
optimization. We then focus on the class of incremental methods for problems involving cost functions and
constraints consisting of a large number of convex components. Our methods consist of iterations applied
to single components, and have proved very effective in practice. We introduce a unified algorithmic
framework for a variety of such methods, some involving gradient and subgradient iterations, which are
known, and some involving combinations of subgradient and proximal methods, which are new and offer
greater flexibility in exploiting special structure. We provide an overview of the convergence and rate of
convergence properties of these methods, including the advantages offered by randomization in the
selection of omponents, and we discuss their extensive applications.
Biography
Dimitri Bertsekas studied Mechanical and Electrical Engineering at the National
Technical University of Athens, Greece, and obtained his Ph.D. in system science
from the Massachusetts Institute of Technology. He has held faculty positions with
the Engineering-Economic Systems Department, Stanford University, and the
Electrical Engineering Department of the University of Illinois, Urbana. Since 1979
he has been teaching at the Electrical Engineering and Computer Science
Department of the Massachusetts Institute of Technology (M.I.T.), where he is
currently the McAfee Professor of Engineering.
His teaching and research spans several fields, including deterministic
optimization, dynamic programming and stochastic control, large-scale and distributed computation, and
data communication networks. He has authored or coauthored numerous research papers and sixteen
books, several of which are currently used as textbooks in MIT classes, including "Nonlinear Programming,"
"Dynamic Programming and Optimal Control," "Data Networks," "Introduction to Probability," "Convex
Optimization Theory," and "Convex Optimization Algorithms." He often consults with private industry and
has held editorial positions in several journals.
Professor Bertsekas was awarded the INFORMS 1997 Prize for Research Excellence in the Interface
Between Operations Research and Computer Science for his book ``Neuro-Dynamic Programming"
(co-authored with John Tsitsiklis), the 2000 Greek National Award for Operations Research, the 2001 ACCC
John R. Ragazzini Education Award, the 2009 INFORMS Expository Writing Award, and the 2014 AACC
Richard Bellman Heritage Award. In 2001, he was elected to the United States National Academy of
Engineering for ``pioneering contributions to fundamental research, practice and education of
optimization/control theory, and especially its application to data communication networks."
11
Keynote Address
2014CCDC
Keynote Address 4
On Networked Evolutionary Games
Daizhan Cheng
Chinese Academy of Sciences, China (CAS)
Sunday, June 1, 2014
8:00-9:00
Hunan Hall of the 4th floor/四楼湖南厅
Abstract
A networked evolutionary game (NED) is described by a triple ((N, E), G, π), where (N, E) is the network
graph, which provides the network's topology; G is a symmetric normal game with two players, which is
called the fundamental network game (FNG). As long as (i, j)∈E, i and j will play G, π is the strategy
updating rule, which decides how each player to update his strategy. In this talk the following problems are
discussed.
1) Modeling of NEG;
Assume each player can only use its neighborhood information at time t to decide his strategy at time t+1,
that is, the strategy updating rule can be described as
xi (t+1) = fi({xj(t), cj(t)|j∈U(i)}), i = 1,…, n,
Where xi(t) is the strategy of player i at time t, ci(t) is the payoff of player i at time t, U(i) is the neighborhood
of i.
Using semi-tensor product (STP) of matrices, we first provide a formula, called the fundamental
evolutionary equation (FEE), to describe the strategy dynamics for each player. Then FEE are used to
produce the strategy profile dynamics (SPD) of overall networked game.
2) Analysis of NEG;
Dynamic Equivalence of NEGs.
Strategy Profile Convergence of NEGs.
3) Control of NEGs;
The controlled NEGs are introduced. Several control problems, including controllability, synchronization etc,
are discussed. In fact, we show that the dynamics of (controlled) NEGs is exactly the dynamics of
(controlled) mix-valued logical networks. Hence, the tools and results for logical networks (say, Boolean
networks) are directly applicable to NEGs.
4) Convergence of NEGs;
Evolutionarily stable strategy (ESS): The ESS of NEGs is discussed. Using the FEE, some sufficient
conditions are obtained to assure ESS.
Potential game and potential function of NEGs. Formulas are provided to verify and calculate potential. It is
also proved that an NEG is potential if its FNG is. Near potential function is introduce and used to testify the
convergence of NEGs.
The talk intends to reveal a completely new approach to NEGs.
Biography
Daizhan Cheng graduated from Tsinghua University in 1970, received M.S. from
Graduate School, Chinese Academy of Sciences in 1981, and Ph.D. from Washington
University, St. Louis, in 1985. Since 1990, he is a professor with Institute of Systems
Science, AMSS, Chinese Academy of Sciences. His research interests include
nonlinear control systems, switched systems, Hamiltonian systems, Boolean control
networks, and game theory. He is the author/coauthor of 12 Books, over 240 Journal
Papers and over 130 Conference Papers. He was Chairman of Technical Committee
on Control Theory, Chinese Association of Automation (2003-2010), member of IEEE
CSS Board of Governors (2009). He is IEEE Fellow (2006-), IFAC Fellow (2008-), and
IFAC Council Member (2011-2014). He received a Second National Natural Science
Award in 2008, and the Automatica Best Methodology/Theory Paper Award
(2008-2010), bestowed by IFAC.
12
Keynote Address
2014CCDC
Keynote Address 5
Challenges in Bioinformatics
Yanda Li
Tsinghua University, China
Sunday, June 1, 2014
9:00-10:00
Hunan Hall of the 4th floor/四楼湖南厅
Abstract
There are many challenging topics in bioinformatics, whose resolution will be important for understanding
human diseases and developing therapeutic drugs. For example, identifying the causal genes of complex
diseases, understanding the molecular mechanisms of non-coding RNAs’ and epigenetic regulation,
achieving the directed differentiation of stem cells and cell reprogramming, analyzing protein-protein
interaction network, brain-computer interface (BCI), the compatibility of traditional Chinese medicine, the
character representation and recognition of complex systems, etc. Since the molecules in cells are closely
interrelated with each other, what we address in bioinformatics is to analyze the data coming from the
complex molecular networks for the purpose of interpreting the underlying mechanisms of biological
processes. Biological data, which is definitely a kind of big data, has an important property – association.
People usually use association study to infer the disease associated genes or gene networks. Similar to the
behavior of molecular networks, human behavior may also be predictable from recent exploding big data,
which will be a great challenge in information science, and also will bring new opportunities for our social
development.
Biography
Yanda Li
Professor, Member of Chinese Academy of Sciences
TNLIST Bioinformatics Division, Center for Synthetic and Systems Biology MOE Key
Laboratory of Bioinformatics
Department of Automation, Tsinghua University, Beijing 100084, China
Education:
1. B.S. of Automation, Tsinghua University, 1959
2. Visiting scholar, MIT, 1979-1981
Working Experiences:
1. Dean, School of Information Science and Technology, Tsinghua Univ., 1995-2004
2. Dean, Dept. of Automation, Tsinghua Univ., 1992-1994
Academic/Social Activities and Memberships:
1. Member of School Administration Committee, Tsinghua University
2. Member of Presidium of CAS Academic Divisions
3. Director, Division of Information Science, MOE Science and Technology Committee
4. IEEE Fellow
5. Chief Editor, Chinese Journal of Electronics
Research Scopes:
1. Bioinformatics, Computational Biology, Systems Biology
2. Intelligent Information Processing
3. Signal Processing
13
Distinguished Lecture
2014CCDC
Distinguished Lecture 1
Electrified and Connected Vehicles: A New Era for Controls
Jing Sun
University of Michigan, USA
Saturday, May 31, 2014
13:10-14:10
Changsha Hall of the 4th floor/四楼长沙厅
Abstract
Transportation systems are undergoing extensive transformations with the introduction of new technologies
and infrastructure upgrades. Vehicle electrification has been a clear technology trend, as manifested by the
sustained increase in market penetration of hybrid and electric automobiles and the emergence of
all-electric ships and electrified airplanes. Vehicle connectivity is changing the transportation technology
landscape through vehicle to vehicle (V2V) and vehicle to grid (V2G) communications and interactions.
These exciting technology innovations are being enabled by control systems, and they impose new
challenges and open up more opportunities for our research community. In this talk, we will discuss the
technology challenges of electrified and connected vehicles and their implications on control and system
optimization. Through several examples that involve hybrid electric vehicle and all-electric ship technology
development, we will demonstrate the important roles of control technologies in the era of electrified and
connected vehicles, and highlight the demands for more effective modeling and design methodologies and
tools.
Biography
Jing Sun received her Ph. D degree from the University of Southern California in 1989,
and her B. S. and M. S. degrees from University of Science and Technology of China
in 1982 and 1984 respectively. From 1989-1993, she was an assistant professor in
Electrical and Computer Engineering Department, Wayne State University. She joined
Ford Research Laboratory in 1993 where she worked in the Powertrain Control
Systems Department. After spending almost 10 years in industry, she came back to
academia and joined the faculty of the College of Engineering at the University of
Michigan in 2003, where she is now a professor in the Department of Naval
Architecture and Marine Engineering and the Department of Electrical Engineering
and Computer Science. Her research interests include system and control theory and its applications to
marine and automotive propulsion systems. She holds 37 US patents, published over 200 technical papers
on archived journals and conference proceedings, and has co-authored a textbook on Robust Adaptive
Control. She is an IEEE Fellow and one of the three recipients of the 2003 IEEE Control System Technology
Award.
14
Distinguished Lecture
2014CCDC
Distinguished Lecture 2
An overview of high-order multi-agent coordination and Flocking control
of multiple non-holonomic robots with connectivity maintenance
Jie Chen
Beijing Institute of Technology, China
Saturday, May 31, 2014
14:10-15:10
Changsha Hall of the 4th floor/四楼长沙厅
Abstract
As one of the most important issues of distributed coordination of multi-agent systems, connectivity
maintenance fundamentally contributes to the reliable and efficient cooperative control. The successful
resolution of such kind of problems not only facilitates further in-depth explanation and understanding of the
emergent mechanism of group coordination/cooperation behavior, but also has great theoretical and
practical significance for typical engineering application of real multi-agent systems such as multiple
unmanned combat platform, multi-autonomous unmanned vehicles, multi-sensor/actuator networks, etc.
This presentation will firstly describe recent developments and major results of distributed coordination of
high-order linear and nonlinear multi-agent systems. Then, the presentation will investigate flocking control
of multiple non-holonomic robots with connectivity maintenance on directed communication graphs. A set of
provably stable distributed flocking algorithms is devised based on the gradient of a new class of smooth
and bounded interactive potential functions, provided the initial network is strongly connected but not
balanced. The proposed protocols could simultaneously satisfy the requirements of connectivity
maintenance, collision avoidance and desired distance stabilization by using only smooth and bounded
control inputs, which are preferable in real military applications.
Biography
Jie Chen is currently a professor with School of Automation, Beijing Institute of
Technology. He is the head of State Key Laboratory of Intelligent Control and
Decision of Complex Systems. Prof. Chen is the winner of the Distinguished
Young Scholars and the leader of Innovative Research Group of NSFC. Prof.
Chen is a ChangJiang Scholars Distinguished Professor awarded by Ministry of
Education China. He is the assistant president and the executive vice dean of
the Research Institute for Science and Technology of Beijing Institute of
Technology.
He is currently an Executive Deputy Director of the Editorial Board of the Series
in Systems and Control, Managing Editor of the Journal of Systems Science and
Complexity, Associate Editor of the ACTA Automatica Sinica, Journal of Control
theory & Application, an Deputy Director of the Technical Committee on Control
Theory, Vice Chairman of Chinese Association of Automation.
He is also a senior member of IEEE. His main research interests include multi-objective optimization and
decision of complex system, intelligent control, constrained nonlinear control, and optimization methods. He
has authored/co-authored 3 monographs and more than 100 research papers. He also holds 37 patents of
invention. He has received the second Prize of the National Science and Technology Progress Award in
2009 and 2011.
15
Distinguished Lecture
2014CCDC
Distinguished Lecture 3
Autonomous Distributed Control of Next-Generation Smart Grids
Qing-Chang Zhong
The University of Sheffield, UK
Saturday, May 31, 2014
15:30-16:30
Changsha Hall of the 4th floor/四楼长沙厅
Abstract
Power systems are going through a paradigm change from centralised generation, to distributed generation,
and further on to smart grids. A huge number of renewable energy sources, electric vehicles, and storage
systems etc. are being connected to power systems. Moreover, various loads are being required to take
part in demand responses and to improve energy efficiency. These make it impossible to control and
operate power systems in the conventional way, simply because of the huge number of players in the
system. In this lecture, an architecture and its associated distributed control strategy, which are based on
the inherent synchronisation mechanism of conventional synchronous generators, are presented for
next-generation smart grids so that the majority of the players, including all conventional power plants, new
add-ons of suppliers and most loads, will be able to synchronise with each other to achieve autonomous
operation and maintain system stability, without the need of a dedicated communication network. The
function of communication is achieved through control.
Biography
Qing-Chang Zhong is the Chair Professor in Control and Systems Engineering
at University of Sheffield, UK, and a Specialist recognised by the State Grid
Corporation of China (SGCC). He is a Distinguished Lecturer of IEEE Power
Electronics Society and serves on the Scientific Advisory Board of FREEDM
Systems Center, a US NSF ERC at North Carolina State University, and the
Rolls-Royce UTP (University Technology Partnership) Board in Power Electronics
Systems. He obtained a PhD degree in 2000 from Shanghai Jiao-Tong University
and another PhD degree in 2004 from Imperial College London (awarded the
Best Doctoral Thesis Prize). He (co-)authored three research monographs,
including a No. 7 Amazon Best Seller Control of Power Inverters in Renewable
Energy and Smart Grid Integration (Wiley-IEEE Press, 2013. He proposed the architecture for
next-generation smart grids, which is now widely reported on Smartgrid.IEEE.org, Spectrum.IEEE.org,
SmartGridNews.com and the US Science News Radio Network. He serves as an Associate Editor for IEEE
TPELS, IEEE TCST, IEEE Access and European Journal of Control. His research focuses on advanced
control theory, power electronics and the integration of both, together with applications in renewable energy,
microgrids, smart grid integration etc. He has been invited to give eleven plenary talks at international
conferences.
16
Distinguished Lecture
2014CCDC
Distinguished Lecture 4
From Global Properties to Local Rules for Multi-Agent Systems
Magnus Egerstedt
Georgia Institute of Technology, USA
Saturday, May 31, 2014
16:30-17:30
Changsha Hall of the 4th floor/四楼长沙厅
Abstract
The last few years have seen significant progress in our understanding of how one should structure
multi-robot systems. New control, coordination, and communication strategies have emerged and, in this
talk, we discuss some of these developments. In particular, we will show how one can go from global,
geometric, team-level specifications to local coordination rules for achieving and maintaining formations,
area coverage, and swarming behaviors. One aspect of this concerns how users can interact with networks
of mobile robots in order to inject new, global information and objectives. We will also investigate what
global objectives are fundamentally implementable in a distributed manner on a collection of spatially
distributed and locally interacting agents.
Biography
Magnus Egerstedt is the Schlumberger Professor in the
School of Electrical and Computer Engineering at the
Georgia Institute of Technology, where he serves as
Associate Chair for Research and External Affairs. He
received the M.S. degree in Engineering Physics and the
Ph.D. degree in Applied Mathematics from the Royal
Institute of Technology, Stockholm, Sweden, the B.A.
degree in Philosophy from Stockholm University, and was
a Postdoctoral Scholar at Harvard University. Dr. Egerstedt
conducts research in the areas of control theory and
robotics, with particular focus on control and coordination of complex networks, such as multi-robot systems,
mobile sensor networks, and cyber-physical systems. Magnus Egerstedt is the Deputy Editor-in-Chief for
the IEEE Transactions on Network Control Systems, the director of the Georgia Robotics and Intelligent
Systems Laboratory (GRITS Lab), a Fellow of the IEEE, and a recipient of the ECE/GT Outstanding Junior
Faculty Member Award, the HKN Outstanding Teacher Award, the Alum of the Year Award from the Royal
Institute of Technology, and the U.S. National Science Foundation CAREER Award.
17
Distinguished Lecture
2014CCDC
Distinguished Lecture 5
Optimal Model Reduction for Fluid Flows with Application to Nonlinear
Convection
Seddik M. Djouadi
University of Tennessee, USA
Sunday, June 1, 2014
10:20-11:20
Hunan Hall of the 4th floor/四楼湖南厅
Abstract
Model Reduction is essential in many control applications such as control of fluid flows governed by partial
differential equations (PDEs). In this talk two important model reduction techniques are discussed, namely,
the proper orthogonal decomposition (POD) and balanced truncation. In particular, optimality issues and the
connection between these two methods are investigated.
For example; POD is shown to be optimal in
the sense of distance minimization in a space of integral operators under the Hilbert-Schmidt norm. This is
achieved by solving a nonlinear optimization problem where the PDE solution is approximated by operators
of a prescribed finite rank in the corresponding trace class 2 norm. POD modes can then be computed by
solving an infinite dimensional eigenvalue problem using Hilbert-Schmidt theory. The role of POD and
balanced truncation in minimizing different n-widths of specific compact operators is discussed. The
n-widths quantify inherent and representation errors due to lack of data or inaccurate measurements and
loss of information.
For nonlinear fluid flows, such as, those governed by the Burgers’ or Navier-Stokes equations, it is shown
that a new POD method, which we call hybrid clustering POD, based on grouping the solution space into
clusters where the behavior has significantly different features is more efficient. An illustrative application
to reduce a prototype nonlinear convective flow governed by the Burgers’ equation is presented. This scalar
equation is chosen because it has a nonlinearity that is similar to the Navier-Stokes equation, but can be
accurately simulated using far fewer states.
Biography
Seddik M. Djouadi received his Ph.D. degree from McGill University, his M.Sc. degree
from University of Montreal, both in Montreal, his B.S. (with first class honors) from
Ecole Nationale Polytechnique, Algiers, all in electrical engineering in 1999, 1992, and
1989, respectively. He is currently an Associate Professor in the Electrical Engineering
and Computer Science Department at the University of Tennessee, Knoxville. Prior to
joining the University of Tennessee, he was an assistant Professor in University of
Arkansas at Little Rock, and held postdoctoral positions in the Air Force Research
Laboratory and Georgia Institute of Technology, where he was also a Design Engineer
with American Flywheel Systems Inc. Dr. Djouadi is a member of IEEE, the American
Mathematical Society, and the Society for Industrial and Applied Mathematics. He
received the Best paper award in the 1st Conference on Intelligent Systems and
Automation 2008, the Ralph E. Powe Junior Faculty Enhancement Award in 2005, the
Tibbet Award with AFS Inc. in 1999, and the American Control Conference Best Student Paper Certificate
(best five in competition) in 1998. He was selected by Automatica twice as an outstanding reviewer for
2002-2003 and 2003-2004. He has published over a hundred journal and conferences papers some of
which were invited papers. His research interests include filtering and control of systems under
communication constraints, modeling and control of wireless networks, control systems and applications to
autonomous sensor platforms, electromechanical and mobile communication systems, in particular smart
grid and power systems, control systems through communication links, networked control systems, and
model reduction for aerodynamic feedback flow control.
18
Distinguished Lecture
2014CCDC
Distinguished Lecture 6
Advances in Brain-computer Interface for Control
Dewen Hu
National University of Defense Technology, China
Sunday, June 1, 2014
11:20-12:20
Hunan Hall of the 4th floor/四楼湖南厅
Abstract
Brain-computer interface (BCI) technique provides a non-muscular channel for directly sending messages
and commands to the external world. Recently, BCI studies try to bring the BCI from the laboratory to real
world applications by integrating BCI technique with modern control theory, computer science, and artificial
intelligence. These efforts have made significant progresses in boosting the applications and extending the
researching field of BCI technique. Prof Dewen Hu with his colleagues has been engaging in long-term
investigations of brain science and BCI technique. They have made splendid progresses in simple
controlling assistive equipment such as a robot arm, humanoid robot and a real car, using BCI technique. In
this talk, he will present his recent results and also share his experience in the field.
Biography
Dewen Hu was born in Hunan, China, in 1963. He received the B.Sc. and M.Sc.
degrees from Xi’an Jiaotong University, Xi’an, China, in 1983 and 1986,
respectively, and the Ph.D. degree from the National University of Defense
Technology, Changsha, China, in 1999. From 1986, he was with the National
University of Defense Technology. From October 1995 to October 1996, he was
a Visiting Scholar with the University of Sheffield, U.K. He became a Professor
in 1996. His research interests include cognitive science, brain– computer
interface, image processing, and neural networks. Dr. Hu is an action editor of
Neural Networks and academic editor of PLoS One.
.
19
Progra m a t a Glance
Track1
Track2
Track3
Track4
2014 CCDC Technical Program Saturday May 31, 2014
Track5
Track6
Track7
Track8
08:00-08:50
Track9
Track10
Track11
Track12
Opening ceremony (Hunan Hall of 4th floor/四楼湖南厅)
08:50-09:50 Keynote Address 1 (Hunan Hall of the 4th floor/四楼湖南厅 )
Precision Mapping and Vehicle State Estimation for Autonomous Highway Vehicles-by Prof. Jay A. Farrell, University of California, USA
09:50-10:10 Break
10:10-11:10 Keynote Address 2 (Hunan Hall of the 4th floor/四楼湖南厅)
Model reduction by moment matching - by Prof. Alessandro Astolfi, Imperial College, UK
11:10-12:10 Keynote Address 3 (Hunan Hall of the 4th floor/四楼湖南厅 )
Convex Optimization: Theory and Algorithms--by Prof. Dimitri Bertsekas , Massachusetts Institute of Technology, USA
12: 10-13:10 Lunch
13:10-14:10 Distinguished Lecture 1 (Changsha Hall of the 4th floor/四楼长沙厅)
Electrified and Connected Vehicles: A New Era for Controls - by Prof. Jing Sun, University of Michigan, USA
14:10-15:10 Distinguished Lecture 2 (Changsha Hall of the 4th floor/四楼长沙厅)
An overview of high-order multi-agent coordination and Flocking control of multiple non-holonomic robots with connectivity maintenance-by Prof. Jie Chen, Beijing Institute of Technology, China
Room 11A
13:10-15:10
SatA01
Room 6A
13:10-15:10
SatA02
Room 7A
13:10-15:10
SatA03
Room 7B
13:10-15:10
SatA04
Room 8A
13: 10-15:10
SatA05
Room 8B
Room 9A
Room 9B
13:10-15:10 13:10-15: 10 13:10-15:10
SatA06
SatA07
SatA08
Room 10A
13:10-15:10
SatA09
Room 10B
13:10-15:10
SatA10
Room 11B
13:10-15:10
SatA11
The finalist of
Fault
Zhang Si- Cooperative Control
Advances in
diagnosis
Ying
in Complex
Switched
Decision-making
and faultOutstanding Networks and MultiSystems and
Planning and
Optimal control
Nonlinear
theory and
Neural
tolerant
Youth Paper
agent Systems
Switching Control
Optimization
Adaptive control-I Robust control-I and optimization-I
systems-I
method-I
networks-I
control-I
Award
(Invited Session) (Invited Session) (Invited Session)
15:10-15:30 Break
15:30-16:30 Distinguished Lecture 3 (Changsha Hall of the 4th floor/四楼长沙 厅)
Autonomous Distributed Control of Next-Generation Smart Grids - by Prof. Qing-Chang Zhong, The University of Sheffield, UK
The lobby of
the 4th floor
13:10-15:10
Interactive
Session
SatAIS1-50
16:30-17:30 Distinguished Lecture 4 (Changsha Hall of the 4th floor/四楼长沙 厅)
From Global Properties to Local Rules for Multi-Agent Systems--by Prof. Magnus Egerstedt, Georgia Institute of Technology, US
16:30-18:20
SatB01
Editorial Board
Meeting for the
Journal of
Control and
Decision
15:30-17:30
SatB02
Complex
networks and
systems-I
15:30-17:30
SatB03
Optimal control
and optimization-II
15:30-17:30
SatB04
Nonlinear
systems-II
15: 30-17:30
SatB05
15:30-17:30 15:30-17: 30 15:30-17:30
SatB06
SatB07
SatB08
Fault
diagnosis
and faultDecision-making
tolerant
Neural
theory and
control-II
method-II
networks-II
18:00-20:00 Buffet
20
Motion
control-I
15:30-17:30
SatB09
15:30-17:30
SatB10
15:30-17:30
SatB11
On the robust
Networked Agents:
and adaptive
Stability and
Coordinated
control for the
Control of
Sensing,
hypersonic flight
Networked
Localization and
Control Systems vehicles (Invited
Control (Invited
Session)
(Invited Session)
Session)
15:30-17:30
Interactive
Session
SatBIS1-50
Track1
Track2
Track3
Track4
2014 CCDC Technical Program Sunday June 1, 2014
Track5
Track6
Track7
Track8
Track9
Track10
Track11
Track12
08:00-09:00 Keynote Address 4 (Hunan Hall of the 4th floor/四楼湖南厅 )
On Networked Evolutionary Games--by Prof. Daizhan Cheng , Chinese Academy of Sciences, China (CAS)
09:00-10:00 Keynote Address 5 (Hunan Hall of the 4th floor/四楼湖南厅)
Challenges in Bioinformatics--by Prof. Yanda Li, Tsinghua University, China
10:00-10:20 Break
10:20-11:20 Distinguished Lecture 5 (Hunan Hall of the 4th floor/四楼湖南厅)
Optimal Model Reduction for Fluid Flows with Application to Nonlinear Convection - by Prof. Seddik M. Djouadi, University of Tennessee, USA
11:20-12:20 Distinguished Lecture 6 (Hunan Hall of the 4th floor/四楼湖南厅)
Advances in Brain-computer Interface for Control - by Prof. Dewen Hu, National University of Defense Technology, China
Room 11A
Room 6A
Room 7A
Room 7B
Room 8A
Room 8B
Room 9A
Room 9B
Room 10A
Room 10B
Room 11B
10:20-12:20
SunA01
10:20-12:20
SunA02
10:20-12:20
SunA03
10:20-12:20
SunA04
10:20-12:20
SunA05
10:20-12:20
SunA06
10:20-12:20
SunA07
10:20-12:20
SunA08
10:20-12:20
SunA09
10: 20-12:20
SunA10
10:20-12:20
SunA11
Process controlI
Robust control-II
Optimal control and
optimization-III
13:20-15:20
SunB01
13:20-15:20
SunB02
13:20-15:20
SunB03
Process control
(Chinese)-II
15:40-17:40
SunC01
Variable
structure control
(Chinese)
Sensor network
systems-I
15:40-17:40
SunC02
Sensor network
systems-II
Identification and
estimation-I
Fault diagnosis
Decisionand faultIntelligent
making theory tolerant control- Social economy
systems
and method-III
III
systems
12:20-13:20 Lunch
13:20-15:20 13:20-15:20
13:20-15:20
13:20-15:20
SunB04
SunB05
SunB06
SunB07
Discrete event
systems
Networked
control
systems-I
Signal
processing-I
15:20-15:40
15:40-18:00
SunC06
15:40-17:40
SunC03
15:40-17:40
SunC04
15:40-17:40
SunC05
Identification and
estimation-II
Decision
supporting
system and
production
planning and
scheduling
Networked
control
systems-II
Data
processing-I
Control
applications-II
Break
15:40-17:40
SunC07
Control
applications-III
18: 00-21:00 Banquet
21
Control
applications-I
13:20-15:20
SunB08
Electric
vehicles and
Robot controlintelligent
I
transportation
13:20-15:20
SunB09
Intelligent
Building Control
and
Management-I
13: 20-15:20
SunB10
13:20-15:20
SunB11
Intelligent
automation
Robot controlII
Smart grids-I
Intelligent
Building Control
and
Management-II
15:40-17:40
SunC08
15:40-17:40
SunC09
15: 40-17:40
SunC10
15:40-17:40
SunC11
Renewable
energies-I
Intelligent
Building Control
and
Management-III
Planning,
scheduling and
coordination-I
Perception
systems
The lobby of
the 4th floor
10:20-12:20
Interactive
Session
SunAIS1-50
13:20-15:20
Interactive
Session
SunBIS1-48
15:40-17:40
Interactive
Session
SunCIS1-48
Track1
Track2
Track3
Track4
2014 CCDC Technical Program Monday June 2, 2014
Track5
Track6
Track7
Track8
Room 11A
Room 6A
Room 7A
Room 7B
Room 8A
Room 8B
Room 9A
08:00-10:00
MonA01
08:00-10:00
MonA02
08:00-10:00
MonA03
08:00-10:00
MonA04
08:00-10:00
MonA05
08:00-10:00
MonA06
08:00-10:00
MonA07
Optimal control
Robust control- and optimizationIII(Chinese)
IV(Chinese)
10:20-12:20
MonB01
Complex
networks and
systems-II
13:20-15:20
MonC01
10:20-12:20
MonB02
Nonlinear
systemsIII(Chinese)
Hybrid
systems
10:20-12:20
MonB03
10:20-12:20
MonB04
Fault diagnosis
and fault-tolerant
Delay systems
control(Chinese)
IV(Chinese)
10:00-10:20
10:20-12:20
MonB05
10:20-12:20
MonB06
Track9
Track10
Track11
Track12
Room 9B
Room 10A
Room 10B
Room 11B
The lobby of
the 4th floor
08:00-10:00
MonA08
08:00-10:00
MonA09
08:00-10:00
MonA10
08:00-10:00
MonA11
Supply chain
and logistics
management
Break
Instrumentation
systems
Space and
underwater
robots
Renewable
energies-II
Computer
Games(Invited
Session)-I
(Chines)
10:20-12:20
MonB07
10:20-12:20
MonB08
10:20-12:20
MonB09
10:20-12:20
MonB10
10:20-12:20
MonB11
Traffic control
Computer
Games(Invited
Session)-II
(Chinese)
13:20-15:20
MonC10
13:20-15:20
MonC11
Smart gridsII(Chinese)
Motion control -II
(Chinese)
15:40-17:40
MonD10
15:40-17:40
MonD11
Energy
management
systems
(Chinese)
Fuzzy systems
(Chinese)
DecisionFault diagnosis
making theory and fault-tolerant
Control
and methodcontrolapplications-IV
IV(Chinese)
V(Chinese)
Co-operative
control(Chinese)
Intelligent
systemsII(Chinese)
Distributed
parameter
systems
13:20-15:20
MonC02
13:20-15:20
MonC03
13:20-15:20
MonC04
13:20-15:20
MonC05
Signal
processingII(Chinese)
15:40-17:40
MonD06
Modeling,
control and
simulations of
Mobile robotics
biological
(Chinese)
systems-I
08:00-10:00
Interactive
Session
MonAIS1-48
10:20-12:20
Interactive
Session
MonBIS1-48
12:20-13:20 Lunch
Complex
networks and
systemsIII(Chinese)
Identification and
estimationIII(Chinese)
Intelligent
systemsIII(Chinese)
Stochastic
systems
Decisionmaking theory
and methodV(Chinese)
15:40-17:40
MonD01
15:40-17:40
MonD02
15:40-17:40
MonD03
15:40-17:40
MonD04
15:40-17:40
MonD05
Sensor network
systemsIII(Chinese)
Decision
supporting
system and
production
planning and
schedulingII(Chinese)
Nonlinear
systemsIV(Chinese)
Networked
control
systemsIII(Chinese)
13:20-15:20
MonC06
13:20-15:20
MonC07
15:20-15:40
Complex
networks and
systemsIV(Chinese)
Control
applicationsV(Chinese)
Break
15:40-17:40
MonD07
Control
Data processing- applicationsII(Chinese)
VI(Chinese)
18:00-20:00 Buffet
22
13:20-15:20
MonC08
13:20-15:20
MonC09
Modeling,
Planning,
control and
scheduling and simulations of
coordinationbiological
II(Chinese)
systems-II
15:40-17:40
MonD08
15:40-17:40
MonD09
Network-based Multi-legged
systems
robot systems
(Chinese)
(Chinese)
13:20-15:20
Interactive
Session
MonCIS1-48
15:40-17:40
Interactive
Session
MonDIS1-41
The 26th Chinese Control and Decision Conference
Technical Programmes
23
Technical Programmes
Lu Wang
Wenting Jiang
Saturday, 31 May, 2014
SatA01
Adaptive control (I)
Chair: Yan Li
CO-Chair: Bi Zhang
Room11A
13:10-15:10
Shandong Univ.
Northeastern Univ.
14:30-14:50
Dynamics of
Disturbances
Xingwen Liu
13:10-13:30
SatA01-1
Adaptive Fault-tolerant Control of Automotive Suspension with
Actuator Saturation and L2-disturbances
Wei Guan
Shenyang Aerospace Univ.
Qian Li
Shenyang Aerospace Univ.
Ling Guo
Shenyang Aerospace Univ.
SatA01-6
dead-zone
Northeastern Univ.
Northeastern Univ.
Continuous
SatA03-4
Storage and Forecasting
China Electric Power Univ.
China Electric Power Univ.
China Electric Power Univ.
14:30-14:50
SatA03-5
Research on The Evaluation Method of Design Scheme of Solar
House
Han Li
Northeast Dianli Univ.
Yue Liu
Northeast Dianli Univ.
Yuting Bian
Northeast Dianli Univ.
Ruonan Xu
Northeast Dianli Univ.
13:30-13:50
SatA02-2
Delay-dependent H∞ Control for Lurie Type Singular Time-delay
Systems
Xiaomei Liu
Southeast Univ.
Kanjian Zhang
Southeast Univ.
Shengtao Li
Shandong Normal Univ.
Shumin Fei
Southeast Univ.
Haikun Wei
Southeast Univ.
for
Southwest University for Nationalities of China
14:10-14:30
Optimal Scheduling of Wind Farm with
Based on Improved Genetic Algorithms
Juncheng Liu
North
Chongliang Huang
North
Pengfei Li
North
Room6A
13:10-15:10
Beijing Institute of Control Engineering
Southeast Univ
Analysis
SatA02-5
Decaying
13:50-14:10
SatA03-3
Adaptive Particle Swarm Optimization Algorithm Based on Dynamic
Link Matrix and its Application
Lirong Xia
Beijing Univ. of Chemical Tech.
Runxue Li
Beijing Univ. of Chemical Tech.
Zhiqiang Geng
Beijing Univ. of Chemical Tech.
13:10-13:30
SatA02-1
A Novel Approach for Rejection of Cosine Disturbances
Zeshao Chen
Northeastern Univ.
Yiheng Wei
University of Science and Technology of China
13:50-14:10
L1-induced Performance
Time-delay Systems
Cuihong Wang
Zhuanxia Yang
Huili Yang
with
13:30-13:50
SatA03-2
An Optimal Model for Emergency Resource Dispatching based on
Simulated Annealing Algorithm
Lei Li
Zhe Jiang Normal Univ.
Ziruo Li
Zhe Jiang Normal Univ.
Xiaolin Lai
Zhe Jiang Normal Univ.
Xuecai Yu
Zhe Jiang Normal Univ.
14:30-14:50
SatA01-5
Adaptive Dynamic Surface Controller Design of Variable-Speed
Pump Controlled Motor System with Parametric Uncertainties
Xiaolin Li
Beijing Institute of Tech.
Xiangzhou Wang
Beijing Institute of Tech.
Yu Wang
Beijing Institute of Tech.
SatA02
Robust control (I)
Chair: Lu Ming
CO-Chair: Xiaomei Liu
Systems
13:10-13:30
SatA03-1
Subcarrier and Power Allocation for OFDM-Based Relay Cognitive
Radio System
Lina Fan
Northeastern University
University at Qinhuangdao
Jinkuan Wang
Northeastern University
University at Qinhuangdao
Jing Gao
Northeastern University
University at Qinhuangdao
14:10-14:30
SatA01-4
Pitch Angle Control Based on Renforcement Learning
Bin Qin
Hunan University of Tech.
Pengcheng Li
Hunan University of Tech.
Xin Wang
Hunan University of Tech.
Wanli Zhu
Hunan University of Tech.
with
Linear
SatA03
Room7A
Optimal control and optimization (I)
13:10-15:10
Chair: Chongliang Huang
North China Electric Power Univ.
CO-Chair: Zhiqiang Geng
Beijing Univ. of Chemical Tech.
13:50-14:10
SatA01-3
Self-Adaptive PID Optimal Control of Wind Energy Conversion
System
Dinghui Wu
Jiangnan Univ.
Yiyang Li
Jiangnan Univ.
Zhicheng Ji
Jiangnan Univ.
Yanxia Shen
Jiangnan Univ.
Tinglong Pan
Jiangnan Univ.
systems
Discrete-Time
14:50-15:10
SatA02-6
Ultra-low Speed Control Strategy for SGCMG Gimbal Servo System
Ming Lu
Beijing Institute of Control Engineering
Shuyan Wang
Beijing Institute of Control Engineering
Wei Zheng
Beijing Institute of Control Engineering
Jia Liang
Beijing Institute of Electronic System Engineering
Yi Zhou
Beijing Institute of Control Engineering
Ni Xia
Beijing Institute of Control Engineering
13:30-13:50
SatA01-2
An Identification Based Optimization of Fractional-order Iterative
Learning Control
Yan Li
Shandong Univ.
Yang Zhao
Shandong Univ.
Yangquan Chen
University of California
Hyo-Sung Ahn
Gwangju Institute of Science and Tech
14:50-15:10
Adaptive control for Hammerstein
nonlinearity and bounded noise
Bi Zhang
Zhizhong Mao
2014CCDC
Changchun University of Science and Tech
Changchun University of Science and Tech
14:50-15:10
SatA03-6
PID Control Strategy for UAV Flight Control System based on
Improved Genetic Algorithm Optimizationi
Feng Lin
Shenyang Aerospace Univ.
Haidong Duan
Shenyang Aerospace Univ.
Xiaoguang Qu
Shenyang Aerospace Univ.
SatA04
Nonlinear systems (I)
Chair: Xin Yu
CO-Chair: Dongsheng Ding
SatA02-3
Positive
Shanxi Normal Univ.
Shanxi Normal Univ.
Shanxi Normal Univ.
Room7B
13:10-15:10
Jiangsu Univ.
Zhejiang Univ.
13:10-13:30
SatA04-1
Global Output Feedback Control of Nonlinear Systems with
Uncertain Supply Rates
Xin Yu
Jiangsu Univ.
Tairen Sun
Jiangsu Univ.
Guohai Liu
Jiangsu Univ.
14:10-14:30
SatA02-4
Tuning Fractional Order Proportional Integral Controllers Based on
Vector in the Complex Plane for First Order Systems
Chunyang Wang
Changchun University of Science and Tech.
Nianchun Cai
Changchun University of Science and Tech
13:30-13:50
25
SatA04-2
Technical Programmes
Fractional-order Integral State Space Modeling and Quasi State
Analysis via Block Operational Matrix Scheme
Dongsheng Ding
Zhejiang Univ.
Donglian Qi
Zhejiang Univ.
Qiao Wang
Zhejiang Univ
13:50-14:10
SatA04-3
FPGA Implementation of Nonlinear Model Predictive Control
Fang Xu
Jilin Univ.
Hong Chen
Jilin Univ.
Weiwei Jin
Jilin Univ.
Yueting Xu
Jilin Univ.
14:10-14:30
SatA04-4
Stochastic observer design for Markovian jump Lur’e differential
inclusion system
Jun Huang
Soochow Univ.
Lei Yu
Soochow Univ.
Lining Sun
Soochow Univ.
14:30-14:50
SatA04-5
Generalized projective synchronization of an array of non-identical
coupled chaotic systems
Huichao Gong
Linyi Univ.
Xiangyong Chen
Linyi Univ.
Chunhua Xu
Linyi Univ.
Yuanwei Jing
Northeastern Univ.
Jianlong Qiu
Linyi Univ.
14:50-15:10
SatA04-6
Constrained Robust Output Regulation for a Class of Nonlinear
Systems with Unknown Control Direction
Jianglin Lan
South China Univ. of Tech.
Weijie Sun
South China Univ. of Tech.
SatA05
Decision-making theory and method (I)
Chair: Guanjie Jiang
CO-Chair: Wenxue Geng
Room8A
13:10-15:10
Northeastern Univ.
Liaoning Univ. of Tech.
Luoyang Tech. on Electron-Optic Control
Lab.
13:10-13:30
SatA05-1
Negotiation Based Project Risk Management Framework
Guanjie Jiang
Northeastern Univ.
University of Scie. and Tech. Liaoning
Min Huang
Northeastern Univ.
Ruiyou Zhang
Northeastern Univ.
Xingwei Wang
Northeastern Univ.
13:30-13:50
SatA05-2
Study on Tactical Decision of UAV Medium-Range Air Combat
Wenxue Geng
Scie. and Tech. on Electron-Optic Control Lab.
Fan'e Kong
Scie. and Tech. on Electron-Optic Control Lab.
Dongqian Ma
Scie. and Tech. on Electron-Optic Control Lab.
13:50-14:10
SatA05-3
Research on Coupling Degree Model and Application of IT
Resources and IT Application Capabilities
Yupeng Liu
Harbin Institute of Tech.
Lei Shi
Harbin Institute of Tech.
Wei Liu
Harbin Institute of Tech.
14:10-14:30
SatA05-4
Analysis of the key influencing factors of the food industrial
enterprises’ integrity & credit in China based on DEMATEL method
Hongwei Li
Shandong Univ. of Scie. and Tech.
Caili Yang
Shandong Univ. of Scie. and Tech.
Min Tao
Shandong Univ. of Scie. and Tech.
14:30-14:50
SatA05-5
Stochastic Zero-Sum Differential Games and H ∞ Control of
Discrete-time Markov Jump Systems
Haiying Zhou
Guangdong Univ. of Tech.
Huainian Zhu
Guangdong Univ. of Tech.
Chengke Zhang
Guangdong Univ. of Tech.
14:50-15:10
SatA05-6
Modeling for Project Scheduling with Multi-skilled Workforce
Constraints and Uncertainty
Di Chen
Northeastern Univ.
Shixin Liu
Northeastern Univ.
Yifan Wang
Northeastern Univ.
26
SatA06
Neural networks (I)
Chair: Hongbing Zeng
CO-Chair: Hongjie Xing
2014CCDC
Room8B
13:10-15:10
Hunan Univ. of Tech.
Hebei Univ.
13:10-13:30
SatA06-1
Further Results on Passivity Analysis of Neural NetworksWith
Time-Varying Delay
Hongbing Zeng
Hunan Univ. of Tech.
Shenping Xiao
Hunan Univ. of Tech.
Changfan Zhang
Hunan Univ. of Tech.
Gang Chen
Hunan Univ. of Tech.
13:30-13:50
SatA06-2
Analysis of G-Type Model Exploited for Online ZLE Solving
Yunong Zhang
Sun Yat-sen Univ.
Zhengli Xiao
Sun Yat-sen Univ.
Ke Chen
Sun Yat-sen Univ.
Mingzhi Mao
Sun Yat-sen Univ.
Xun Liu
The Third Affiliated Hospital of Sun Yat-sen Univ.
13:50-14:10
SatA06-3
WASP Neuronet Activated by Bipolar-Sigmoid Functions and
Applied to Glomerular-Filtration-Rate Estimation
Yunong Zhang
Sun Yat-sen Univ.
Sitong Ding
Sun Yat-sen Univ.
Xun Liu
The Third Affiliated Hospital of Sun Yat-sen Univ.
Jinrong Liu
Sun Yat-sen Univ.
Mingzhi Mao
Sun Yat-sen Univ.
14:10-14:30
SatA06-4
Training RBFNN with reglarized correntropy criterion and its
application to foreign exchange rate forecasting
Yanjun Liu
Hebei Univ.
Hongjie Xing
Hebei Univ.
14:30-14:50
SatA06-5
A neural network algorithm for fast pruning based on remarkable
analysis
Fujin Li
Hebei United Univ.
Meijie Huo
Hebei United Univ.
Hongge Ren
Hebei United Univ.
Wenbin Zhao
Hebei United Univ.
14:50-15:10
SatA06-6
Soft Sensor Modeling of Mill Level Based on Deep Belief Network
Muchao Lu
Taiyuan Univ. of Tech.
Yan Kang
Taiyuan Univ. of Tech.
Xiaoming Han
Taiyuan Univ. of Tech.
Gaowei Yan
Taiyuan Univ. of Tech.
SatA07
Room9A
Fault diagnosis and fault-tolerant control (I)
13:10-15:10
Chair: Tao Wang
Nanjing Univ.of Aeronautics and Astronautics
CO-Chair:
13:10-13:30
SatA07-1
Design and Research of an ARINC 429 Bus Testing System
Yunlin Luo
Coll. of Aviation Automatic
Xiaoqing Zhao
Coll. of Aviation Automatic
13:30-13:50
SatA07-2
TS Fuzzy approach for Fault Detection in Nonlinear Systems with
Immeasurable State Variables
Muhammad Abid
Pakistan Institute of Engineering and
Applied Sciences
Talal Hussain
Pakistan Institute of Engineering and
Applied Sciences
Abdul Qayyum Khan
Pakistan Institute of Engineering and
Applied Sciences
13:50-14:10
SatA07-3
Analysis on Shaft Torsion Response of 600MW Steam Turbine Unit
Under Quick Load Regulation
Hongwen An
North China Electric Power Univ., and
Beijing Energy Investment Holding Co.
Zhiyong Ma
North China Electric Power Univ.
Zhuang Li
North China Electric Power Univ.
Caimao Zhong
North China Electric Power Univ.
Ying Liu
North China Electric Power Univ.
14:10-14:30
SatA07-4
Technical Programmes
Fault Detection Based on Finite Impulse Response Adaptive Filter
for Satellite Attitude Control Systems
Tao Wang
Nanjing Univ. of Aeronautics and Astronautics
Yuehua Cheng
Nanjing Univ. of Aeronautics and Astronautics
Bin Jiang
Nanjing Univ. of Aeronautics and Astronautics
Ruiyun Qi
Nanjing Univ. of Aeronautics and Astronautics
14:30-14:50
SatA07-5
Research on restraining the end effect of EMD based on grey
prediction model
Yongtao Zong
Jiangnan Univ.
Yanxia Shen
Jiangnan Univ.
Zhicheng Ji
Jiangnan Univ.
Dinghui Wu
Jiangnan Univ.
Tinglong Pan
Jiangnan Univ.
14:50-15:10
SatA07-6
A Self-adaptive Analysis Method of Fault Diagnosis in Roller
Bearing Based on Local Mean Decomposition
Jiying Wang
Wuhan Univ. of Science and Tech.
Zhenxing Liu
Wuhan Univ. of Science and Tech.
SatA08
Room9B
The finalist of Zhang Si-Ying Outstanding Youth Paper Award
13:10-15:10
13:10-13:30
SatA08-1
Dynamic boundary stabilization of Euler-Bernoulli beam through a
Kelvin-Voigt damped wave equation
Lu Lu
Beijing Institute of Tech.
Jun-Min Wang
Beijing Institute of Tech.
13:30-13:50
SatA08-2
Output Swarm Stability for High-order Linear Swarm Systems
Jianxiang Xi
High-Tech Institute of Xi’an
Xiaogang Yang
High-Tech Institute of Xi’an
Yukun Qiao
High-Tech Institute of Xi’an
Yanhong Zhang
High-Tech Institute of Beijing
13:50-14:10
SatA08-3
Fault subspace selection and analysis of relative changes based
reconstruction modeling for multi-fault diagnosis
Chunhui Zhao
Zhejiang Univ., and Key Laboratory of
System Control and Information Processing
14:10-14:30
Mean-field backward stochastic
uniformly continuous generators
Hancheng Guo
Xiuyun Ren
differential
SatA08-4
equations with
Shandong Univ.
Shandong Univ.
14:30-14:50
SatA08-5
Transmission Data Compression of Remote Networked Control
Systems via Model Reduction Method
Libin Bai
Univ. of North Carolina at Charlotte
Shengguo Wang
Univ. of North Carolina at Charlotte
2014CCDC
Node-to-Node Consensus of Multi-Agent Systems with Switched
Pinning Linkes
Guanghui Wen
Southeast Univ.
Wenwu Yu
Southeast Univ.
Jingyao Wang
Peking Univ.
Dabo Xu
Nanjing University of Science and Technology
Jinde Cao
Southeast Univ.
14:30-14:50
SatA09-5
Stochastic
Consensus
of
Linear
Multi-Agent
Systems:
Communication Noises and Markovian Switching Topologies
Long Cheng
Institute of Automation Chinese Academy of Scie.
Yunpeng Wang
Institute of Automation Chinese Academy of Scie.
Zeng-guang Hou Institute of Automation Chinese Academy of Scie.
Min Tan
Institute of Automation Chinese Academy of Scie.
14:50-15:10
SatA09-6
Time Synchronization in WSNs with Noise: A Consensus Based
Approach
Yifei Lang
Southeast Univ.
Chuan Wang
Southeast Univ.
Ying Wan
Southeast Univ.
SatA10
Room10B
Advances in Switched Systems and Switching Control(Invited
Session)
13:10-15:10
Chair: Dan Ma
Northeastern Univ.
CO-Chair: Jie Lian
Dalian University of Technology
13:10-13:30
Robust Reliable Guaranteed-cost H∞
Switched Linear Systems
Hao Hu
Nanjing Univ. of
Bin Jiang
Nanjing Univ. of
Hao Yang
Nanjing Univ. of
13:30-13:50
Stabilization
for
Switched
Network-Induced Delays
Dan Ma
SatA10-1
Control for Delta Operator
Aeronautics and Astronautics
Aeronautics and Astronautics
Aeronautics and Astronautics
Linear
Systems
SatA10-2
Subject to
Northeastern Univ.
13:50-14:10
SatA10-3
Positive l1 observer design for positive switched systems with
time-varying delays via delta operator approach
Shuo Li
Nanjing Univ. of Science and Technology
Zhengrong Xiang
Nanjing Univ. of Science and Technology
Hamid Reza Karimi
Univ. of Agder
14:10-14:30
Observer-based sliding mode control for switched
systems under asynchronous switching
Xiaona Wang
Dalian University of
Can Li
Dalian University of
Jie Lian
Dalian University of
Feng Zhang
Dalian University of
SatA10-4
stochastic
Technology
Technology
Technology
Technology
SatA09
Room10A
Cooperative Control in Complex Networks and Multi-agent
Systems(Invited Session)
13:10-15:10
Chair: Wenwu Yu
RMIT University
CO-Chair: Guanghui Wen
Southeast Univ.
14:30-14:50
SatA10-5
Cooperative Output Regulation Problem of a Class of Linear
Multi-agent System with Switched Exosystems
Hongwei Jia
Northeastern Univ.
Xia Wang
Northeastern Univ.
Jun Zhao
Northeastern Univ.
13:10-13:30
Distributed Adaptive Coordinated
Nonholonomic Mobile Robots
Yilong Qiu
Fei Chen
Linying Xiang
14:50-15:10
SatA10-6
Stabilization of a Class of State-Constrained Nonlinear Switched
Systems in Lower Triangular Form
Ben Niu
Bohai Univ.
Yanli Liu
Bohai Univ.
Tracking
for
SatA09-1
Coupled
Xiamen Univ.
Xiamen Univ.
Xiamen Univ.
13:30-13:50
SatA09-2
Averaging Method for Consensus of Fast Switching Multi-agent
Networks with Communication Delay
Qiang Jia
Jiangsu Univ.
Wallace K. S. Tang
City University of Hong Kong
13:50-14:10
SatA09-3
Leader-following control of second-order integrator systems using
binary information
Junjie Fu
Peking Univ.
Jinzhi Wang
Peking Univ.
14:10-14:30
SatA09-4
27
SatA11
Room11B
Planning and Optimization(Invited Session)
13:10-15:10
Chair: Neng-Fa Zhou
City University of New York
CO-Chair: Roman Bartak
Charles University
13:10-13:30
Energy-aware Scheduling Model and Optimization
Flow Shop Problem
Min Dai
Nanjing Univ. of Aeronautics
Dunbing Tang
Nanjing Univ. of Aeronautics
Haitao Zhang
Nanjing Univ. of Aeronautics
Jun Yang
Nanjing Univ. of Aeronautics
13:30-13:50
SatA11-1
for a Flexible
&
&
&
&
Astronautics
Astronautics
Astronautics
Astronautics
SatA11-2
Technical Programmes
A Controller for Autonomous Landing of AR.Drone
Roman Barták,
Charles University in Prague,
Andrej Hraško
Charles University in Prague,
David Obdržálek
Charles University in Prague,
13:50-14:10
SatA11-3
On Scheduling Pseudo Just-in-Time Jobs on Single Machine
Yuka Kawamata
IT Frontier Corporation
Shao-Chin Sung
Aoyama Gakuin University
14:10-14:30
Unifying Constraint Satisfaction
Amusement Park Navigation
Hayato Ohwada
Hiroki Igarashi
Tsukasa Tanaka
Hiroyuki Nishiyama
and
SatA11-4
Recommendation for
Tokyo
Tokyo
Tokyo
Tokyo
University
University
University
University
of
of
of
of
Science
Science
Science
Science
14:30-14:50
SatA11-5
Solving Several Planning Problems with Picat
Neng-fa Zhou
The City University of New York
Hakan Kjellerstrand
Independent Researcher, hakank.org
14:50-15:10
SatA11-6
My First Look At Picat as a Modeling Language for Constraint
Solving and Planning
Håkan Kjellerstrand
Independent Researcher
SatAIS
Interactive Session
The lobby of the 4th floor
13:10-15:10
SatAIS-01
Time series predictive wavelet neural network control method
Jingwei Liu
Beijing University of
Pu Wang
Beijing University of
Hong Liu
Beijing University of
Lei Yang
Beijing University of
Tech.
Tech.
Tech.
Tech.
SatAIS-02
System Control and DC Voltage Control Method for STACOM Based
on Hybrid Multilevel H-Bridge Converter
Zaifu Wang
Xi’an Jiaotong Univ.
Aimin Zhang
Xi’an Jiaotong Univ.
Hang Zhang
Xi’an Jiaotong Univ.
Jingjing Huang
Xi’an Jiaotong Univ.
SatAIS-03
Multi-Sensor Fusion
Information Filter
Tao Wen
Xianfeng Tang
Quanbo Ge
Based
on
Unscented
Strong
Tracking
Henan Univ.
Zhejiang Univ.
Hangzhou Dianzi Univ.
2014CCDC
SatAIS-08
Robust adaptive observer for fractional order nonlinear systems: an
LMI approach
Chuang Li
Hainan Univ.
Shanghai Jiao Tong Univ.
Jingcheng Wang
Shanghai Jiao Tong Univ.
SatAIS-09
Research on adaptive feedforward control strategy of engine based
on GT-Power and Simulink simulation
Kunying Li
South China University of Tech.
Bing Xiao
South China University of Tech.
SatAIS-10
Adaptive second-order leader-following consensus
multi-agent systems with time-varying delay
Hongjie Li
Lihua Xu
Libin Xiao
Li Lin
of nonlinear
Jiaxing
Jiaxing
Jiaxing
Jiaxing
Univ.
Univ.
Univ.
Univ.
SatAIS-11
Developing Support System for Cover Design with Interactive
Evolutionary Computation
Fei Yu
Wuhan Univ.
Minnan Normal Univ.
Yuanxiang Li
Wuhan Univ.
Li Kuang
Wuhan Univ.
Zhijie Li
Wuhan Univ.
SatAIS-12
Reinforcement Learning Control for Gas Collector Pressure of Coke
Ovens
Bin Qin
Hunan University of Tech.
Leqiang Dai
Hunan University of Tech.
Pengcheng Li
Hunan University of Tech.
Wangli Zhu
Hunan University of Tech.
Xin Wang
Hunan University of Tech.
SatAIS-13
Momentum Management of Chinese Space Station Based on Robust
H-infinite
Yue Lin
Beijing Institute of Control Engineering
Yingmin Jia
BUAA 7th research division
Yanan Gao
Beijing Institute of Control Engineering
Songtao Fan
Beijing Institute of Control Engineering
SatAIS-14
μ-synthesis Non-fragile Robust Design for a Fan Control System
Qinghai Heng
Beijing Information Science and Technology Univ.
Jing Lu
Beijing Information Science and Technology Univ.
Li Li
Beijing Information Science and Technology Univ.
Huan Cao
Beijing Information Science and Technology Univ.
SatAIS-04
Adaptive Conversion of the Leader in Multi-robot Obstacle
Avoidance
Jia Yan
Anshan Normal College of Higher Vo
cational Technical Coll.
Xiaonanr Wang
Anshan Normal College of Higher Vo
cational Technical Coll.
Xin Yang
Crane Control Equipment Co.Ltd.
SatAIS-15
H2 controller design of linear systems with time-varying
uncertainties and input quantization
Bochao
Nanjing University of Information Sciences & Tech.
Zheng
Yuanlu Li
Nanjing University of Information Sciences & Tech.
Ning Sun
Nanjing University of Information Sciences & Tech.
SatAIS-05
Multivariable Inverse Control for Glutamic Acid Fermentation
Process
Shouping Guan
Northeastern Univ.
Wenlong Wang
Northeastern Univ.
Fuqiang You
Northeastern Univ.
SatAIS-16
Multiobjective H2/H∞ Synthesis via Group-Preserving Scheme
Bin Liu
Northeast Petroleum Univ.
Jiuqiang Sun
Northeast Petroleum Univ.
Yangyang Cui
Northeast Petroleum Univ.
Wei Li
University of Sheffield
SatAIS-06
Maneuver Target Tracking Algorithm Based On Intelligent Fuzzy
Adaptive Filtering
Xiaolu Wu
The Second Artillery Engineering Coll.
Xiaohu Fan
The Second Artillery Engineering Coll.
Liying Liu
The Second Artillery Engineering Coll.
Guanchao Wei
The Second Artillery Engineering Coll.
SatAIS-17
Static and Reduced-Order Stabilizers Based on Improved State
Coordinates Transformations
Haibin Shi
Northeastern Univ.
SatAIS-07
Extreme learning machine-based stable adaptive control for a class
of nonlinear system
Haisen Ke
China Jiliang Univ.
Wenrui Li
China Jiliang Univ.
28
SatAIS-18
Robust H ∞ Control for Uncertain Continuous-time Singular
Systems with Circular Pole Constraints
Lingqi Meng
Xi’an Jiaotong Univ.
Zhaoqiang Ge
Xi’an Jiaotong Univ.
SatAIS-19
Quantized H∞ control for stochastic nonlinear networked systems
Technical Programmes
Huaicheng Yan
Key Lab. of Advanced Control and Optimization f
or Chemical Processes of Ministry of Education
East China Univ. of Science and Technology
Hongbo Shi
Key Lab. of Advanced Control and Optimization f
or Chemical Processes of Ministry of Education
East China Univ. of Science and Technology
Hao Zhang
Tongji University
Haitao Zhao
Key Lab. of Advanced Control and Optimization f
or Chemical Processes of Ministry of Education
East China Univ. of Science and Technology
SatAIS-20
Stabilization Control for LPV Systems with Time Delay and Actuator
Saturation
Xiaochao Dou
Harbin Institute of Technology Shenzhen Gradu
ate School
Rui Zhang
Shenzhen Institutes of Advanced Tech.
Ying Zhang
Harbin Institute of Technology Shenzhen Gradu
ate School
SatAIS-21
A Sharper Parameter Bound for Belgian Chocolate Stabilization
Problem
Wang Li
East China Normal Univ.
Wensheng Yu
East China Normal Univ.
SatAIS-22
Some Remarks on Simultaneous Stabilization Problems of Linear
Systems
Qiang Guan
Chinese Academy of Scie.
Guannan He
Beijing University of Chemical Tech.
Wang Li
East China Normal Univ.
Wensheng Yu
East China Normal Univ.
SatAIS-23
H ∞ Controller Design for A Ball
Normalized Coprime Factors
Haiqi Lin
Tianjin University
Shigang Cui
Tianjin University
Lihui Geng
Tianjin University
Yongli Zhang
Tianjin University
and Plate System Using
of
of
of
of
Technology
Technology
Technology
Technology
and
and
and
and
Education
Education
Education
Education
SatAIS-24
Robust Controller Design for a Morphing Aircraft Based on SRAD
Jie Zhang
Beijing University of Aeronautics and Astronautics
Sentang Wu
Beijing University of Aeronautics and Astronautics
SatAIS-25
Based on single-stage multiplier CPS-SPWM chain SVG System
Yong Zhang
University of Science and Technology Liaoning
Shengli Bao
University of Science and Technology Liaoning
SatAIS-26
Intelligent Decoupling for Flatness and Gauge Control System in
Hot Strip Rolling
Boqun Li
University of Science and Technology Liaoning
Chunlian Jiang
University of Science and Technology Liaoning
Xiangwen Fan
University of Science and Technology Liaoning
Daqing Zhang
University of Science and Technology Liaoning
SatAIS-27
A Hybrid Model for Furnace Exit Gas Temperature Monitoring Based
on CM-LSSVM-PLS
Zhengfeng Liu
Shanghai Jiao Tong Univ.
Jingcheng Wang
Shanghai Jiao Tong Univ.
Yuanhao Shi
Shanghai Jiao Tong Univ.
Bohui Wang
Shanghai Jiao Tong Univ.
Langwen Zhang
Shanghai Jiao Tong Univ.
SatAIS-28
Ammonia control of a wastewater treatment process Using Model
Predictive Control
Xiaoxin Liu
Northeastern Univ.
Yuanwei Jing
Northeastern Univ.
Jiahe Xu
Chinese Academy of Forestry
Siying Zhang
Northeastern Univ.
SatAIS-29
Tuning Method of Proportional Differential Controller for Delay-time
System Based on Polynomial Approximation
Ling Xu
Jiangnan Univ.
Wuxi Institute of Commerce
Feng Ding
Wuxi Institute of Commerce
29
2014CCDC
Jiangnan Univ.
Jiangnan Univ.
Dengfeng Liu
Baoguo Xu
SatAIS-30
Sliding mode control for discrete time switched systems with
uncertain parameters and time delay
Yang Li
Hebei University of Science and Tech.
Xueli Wu
Hebei University of Science and Tech.
Jianhua Zhang
Hebei University of Science and Tech.
Quanmin Zhu
University of the West of England
SatAIS-31
Fuzzy discrete-time sliding mode control on interconnected power
system
Xuejiao Guo
North China Electric Power Univ.
Xiangjie Liu
North China Electric Power Univ.
SatAIS-32
Research on trajectory tracking of crawler robot based on sliding
mode control
Guodong Li
North China Electric Power Univ.
Xiaolong Li
North China Electric Power Univ.
SatAIS-33
Multi-model back-stepping
Manipulators
Yinling Jiang
Di Yu
Haixing Wang
sliding mode control of Robotic
Northeast Petroleum Univ.
Northeast Petroleum Univ.
Northeast Petroleum Univ.
SatAIS-34
Soft Variable Structure Control with Differential Equation for
Generalized Systems
Ruiping Xu
Ocean University of China
Qingdao Univ.
Yunlong Liu
Ocean University of China
Weifang Univ.
Cunchen Gao
Ocean University of China
Shuqin Wang
Ocean University of China
SatAIS-35
Sliding Mode Control for Discrete
with Uncertainty and Packet Loss
Dongyan Chen
Harbin
Mingming Kan
Harbin
Jun Hu
Harbin
Time-delay Nonlinear Systems
University of Science and Tech.
University of Science and Tech.
University of Science and Tech.
SatAIS-36
Robust Sliding Mode Control of Three-phase Voltage Source PWM
Rectifier with Uncertainties and Disturbances
Gangquan Si
Xian Jiaotong Univ.
Weili Zhao
Xian Jiaotong Univ.
Lixin Jia
Xian Jiaotong Univ.
Yanbin Zhang
Xian Jiaotong Univ.
SatAIS-37
Chattering Avoidance High Order Sliding Mode Control for BDFM
Zhongrong
Kunming University of Science and Tech.
Duan
Guoyong Huang
Kunming University of Science and Tech.
Engineering Research Center for Mineral Pipeline
Transportation YN
Zongkai Shao
Kunming University of Science and Tech.
Engineering Research Center for Mineral Pipeline
Transportation YN
Jiande Wu
Kunming University of Science and Tech.
Engineering Research Center for Mineral Pipeline
Transportation YN
Xiaodong Wang
Kunming University of Science and Tech.
Engineering Research Center for Mineral Pipeline
Transportation YN
SatAIS-38
Application of Fuzzy Optimization Control in NSV Anti- disturbance
Qian Gao
Jiangsu University of Tech.
Naibao He
Jiangsu University of Tech.
SatAIS-39
Reasearch on Finite time Control Method Based on Terminal Sliding
Mode for Spacecraft Attitude
Yan Zheng
Northeastern Univ.
Wei Cao
Northeastern Univ.
Technical Programmes
SatAIS-40
Research on Some Control Issues in the Czochralski Process of
Solar Grade Mono-Crystal Silicon
Ding Liu
Xi’ an University of Tech.
Jing Zhang
Xi’ an University of Tech.
SatAIS-41
Novel Approach to Cluster Synchronization of Delayed Neural
Networks
Xinbiao Lu
Hohai Univ.
Buzhi Qin
Nanjing College of Chemical Tech.
Jing Tang
Jiangsu Xin'an Electric Co., Ltd.
SatAIS-42
Cluster Synchronization in Complex Dynamical Networks Via
Comparison Principle
Xuyang Lou
Jiangnan Univ.
Qian Ye
Wuxi Institute of Tech.
Baotong Cui
Jiangnan Univ.
SatAIS-43
Global convergence of a class of nonlinear dynamical networks
Ao Dun
Beijing University of Tech.
Di Liang
Beijing University of Tech.
Haijing Liu
Beijing University of Tech.
SatAIS-44
A hybrid Pareto-based algorithm for multi-objective resource
allocation problem
Jun-qing Li
Northeastern Univ.
Liaocheng Univ.
Quan-ke Pan
Northeastern Univ.
Liaocheng Univ.
Kun Mao
Northeastern Univ.
SatAIS-45
Second-order leader-following consensus of nonlinear multi-agent
systems via adaptive pinning control
Hongjie Li
Jiaxing Univ.
Lihua Xu
Jiaxing Univ.
Libin Xiao
Jiaxing Univ.
Li Lin
Jiaxing Univ.
SatAIS-46
Coordinating Multi-layer MPC for Complex Water Systems
Congcong
Advanced Control Systems Group at the Institut de
Sun
Rob`otica i Inform`atica Industrial
Vicenc Puig
Advanced Control Systems Group at the Institut de
Rob`otica i Inform`atica Industrial
Gabriela
Advanced Control Systems Group at the Institut de
Cembrano
Rob`otica i Inform`atica Industrial
CETaqua, Water Technology Centre at Esplugues 7
5, Cornell`a de Llobregat
SatAIS-47
Simulation of Fractional order control Based on IPMC model
Lanfeng Chen
Northeastern Univ.
Dingyu Xue
Northeastern Univ.
SatAIS-48
Maximum likelihood stochastic gradient parameter estimation
algorithm for multi-input multi-output systems
Junhong Li
Nantong Univ.
Ping Jiang
Nantong Univ.
Yi Yang
Nantong Univ.
SatAIS-49
Composite single neural PID controller based on fuzzy self-tuning
gain and RBF network identification
Boyang Xing
Automation Research and Design Institute of
Metallurgical Industry
Liye Yu
State Key Laboratory of Hybrid Process Indus
try Automation System and Equipment Tech.
Zhongkai Zhou
Automation Research and Design Institute of
Metallurgical Industry
SatAIS-50
An Alternative Scheme for Adaptive Backstepping Control
Zhengqiang Zhang
Qufu Normal Univ.
Key Laboratory of System Control and Inform
ation Processing
Xiqiang Cao
Qufu Normal Univ.
Mingxia Zhang
Qufu Normal Univ.
30
Mingxing Zhang
SatB02
Complex networks and systems (I)
Chair:
CO-Chair:
2014CCDC
Qufu Normal Univ.
Room6A
15:30-17:30
Jun Zhou
Bin Ye
15:30-15:50
SatB02-1
Random Matrix Analysis of Spectral Properties in Directed Complex
Networks
Bin Ye
China University of Mining and Tech.
Kangwei Zuo
China University of Mining and Tech.
Jiajia Jia
China University of Mining and Tech.
15:50-16:10
SatB02-2
Controllability and (Ir-) Reducibility of Floquet Factorizations in
Continuous-Time Periodic Systems
Jun Zhou
Hohai Univ.
16:10-16:30
SatB02-3
A Quantum Dynamics Approach to Spectral Analysis in Small-World
Complex Networks
Bin Ye
China University of Mining and Tech.
Shuai Xu
China University of Mining and Tech.
16:30-16:50
SatB02-4
Synchronization analysis of linear complex networks with time
delays
Hailong Li
Xi’an Research Inst. of High-tech.
Jianxiang Xi
Xi’an Research Inst. of High-tech.
Haisong Song
China National Tobacco Corporation Beijing Branch
Yaoqin Cao
Xi’an Research Inst. of High-tech.
16:50-17:10
SatB02-5
An Efficient Compressed Sensing-based Cross-layer Congestion
Control Scheme for Wireless Sensor Networks
Chengtie Li
Northeastern Univ.
Northeastern University at Qinhuangdao
Jingkuan Wang
Northeastern Univ.
Northeastern University at Qinhuangdao
Bin Wang
Northeastern Univ.
Northeastern University at Qinhuangdao
Yinghua Han
Northeastern Univ.
Northeastern University at Qinhuangdao
17:10-17:30
SatB02-6
Improving Controllability of Complex Networks by Rewiring Links
Regularly
Jiuqiang Xu
Northeastern Univ.
Jinfa Wang
Northeastern Univ.
Hai Zhao
Northeastern Univ.
Siyuan Jia
Northeastern Univ.
SatB03
Optimal control and optimization (II)
Chair: Jing Fang
CO-Chair: Zhaoying Li
Room7A
15:30-17:30
Tongji Univ.
Beihang Univ.
15:30-15:50
SatB03-1
Launch Vehicle Ascent Trajectory Optimization Based on Modified
Gauss Pseudospectral Method
Qiuhong Zhang
Beihang Univ.
Zhaoying Li
Beihang Univ.
Huifeng Li
Beihang Univ.
15:50-16:10
SatB03-2
Trajectory Optimization of a Cruise Missile Using the Gauss
Pseudospectral Method
Yi Hu
Beihang Univ.
Wanchun Chen
Beihang Univ.
16:10-16:30
SatB03-3
Design of a P-D feedback controller for continuous-time descriptor
systems
Mengjuan Cao
Univ.of Scie. and Tech.Beijing
Fucheng Liao
Univ.of Scie. and Tech.Beijing
16:30-16:50
SatB03-4
Application of Genetic Algorithms in Football Field Lighting for
Energy-saving
Hui Xiao
Tongji Univ.
Jing Fang
Tongji Univ.
Ping Zhu
Tongji Univ.
Technical Programmes
Qi Kang
East China Electric Power Design Institute
Tongji Univ.
16:50-17:10
SatB03-5
Set Divisions and Customer Point Collaborations-Based Heuristic
Vehicle Routing with Appointment Time Window
Zhengzheng Xu
Northeastern Univ.
Jiafu Tang
Northeastern Univ.
17:10-17:30
SatB03-6
Finite-time Convergent Guidance and Control Based on Integrated
Model
Lin Lin
Harbin Institute of Tech.
Songyan Wang
Harbin Institute of Tech.
Tao Chao
Harbin Institute of Tech.
Ming Yang
Harbin Institute of Tech.
SatB04
Nonlinear systems (II)
Chair: Yuan Gao
CO-Chair: Xiongjun Wu
Room7B
15:30-17:30
Jilin Univ.
Shanghai Jiao Tong Univ.
15:30-15:50
SatB04-1
Launch Control Strategy for AMT Vehicles Based on ADRC
Yuan Gao
Jilin Univ.
Qifang Liu
Jilin Univ.
Chao Li
Jilin Univ.
Hong Chen
Jilin Univ.
15:50-16:10
SatB04-2
Saturated Scheduling Anti-windup Design: Static Case
Xiongjun Wu
Shanghai Jiao Tong Univ.;
The 802 Inst. of Shanghai Acad. of Space Flight Te
ch., The Eighth Acad. of China Aero. Scie. and
Tech. Corporation
Kun Cai
The 802 Inst. of Shanghai Acad. of Space Flight Tech.,
The Eighth Acad. of China Aero. Scie. and
Tech. Corporation
16:10-16:30
On
Pullback
Attractors
Reaction-diffusion Equations
Hongyan Li
Weisi Zhang
in
H2
for
SatB04-3
Non-autonomous
Shanghai Univ. of Engineering Scie.
Shanghai Univ. of Engineering Scie.
16:30-16:50
SatB04-4
Prediction for Chaotic Time Series of Optimized BP Neural Network
Based on Modified PSO
Song Li
Hebei Univ.
Qing Hao
Hebei Univ.
Ying-ying Yue
Hebei Univ.
Hao-ning Liu
Hebei Univ.
16:50-17:10
SatB04-5
Finite-time Stabilization of Fractional-order Systems with Model
Uncertainties and External Disturbances
Xiaomin Tian
Southeast Univ.
Shumin Fei
Southeast Univ.
Lin Chai
Southeast Univ.
17:10-17:30
SatB04-6
Path Following Control of Non-minimum Phase VTOL Aircraft via
Minimum Distance Projection Method
Shanwei Su
Beihang Univ.
17:30-17:50
SatB04-7
Robust Nonlinear Control Design For Scaled Yak-54 Unmanned
Aerial Vehicle
Ussama Ali
Mohammed Ali Jinnah Univ.
M. Zamurad Shah
Mohammed Ali Jinnah Univ.
Aamer Iqbal Bhatti
Mohammed Ali Jinnah Univ.
Raza Samar
Mohammed Ali Jinnah Univ.
SatB05
Room8A
Decision-making theory and method (II)
15:30-17:30
Chair: Channi Liu
Hunan Univ.
CO-Chair: Qifa Jiang
Yunnan Univ. of Finance and Economics
15:30-15:50
SatB05-1
Evaluation and Selection of Suppliers under Multi-product Purchase
Based on Fuzzy Multi-objective Integer Programming Model
Ling Hu
Shenzhen Institute of Information Tech.
Zhuangpin Wei
Shenzhen GTA Information Technology Co.,Ltd.
31
2014CCDC
15:50-16:10
SatB05-2
A Solution to Seasonal Adjustment Forecasting for Hydraulic SMEs
in InvestmentDecision-making
Qifa Jiang
Yunnan Univ. of Finance and Economics
16:10-16:30
SatB05-3
Board of Directors Characteristics and Internal Control Quality：
Evidence from Chinese-listed companies
Hui Lei
Hunan Univ.
Channi Liu
Hunan Univ.
16:30-16:50
SatB05-4
Research on Port Cooperation Game-Theory Based on Productivity
Restrain
Xiaoling Huang
Dalian Maritime Univ.
Xiaonan Gao
Dalian Maritime Univ.
16:50-17:10
SatB05-5
Spare Parts Consumption Rolling Forecasting Model Based on Grey
LSSVM
Shenyang Liu
Shijiazhuang Mechanical Engineering Coll.
Qi Gao
Shijiazhuang Mechanical Engineering Coll.
Yang Ge
Shijiazhuang Mechanical Engineering Coll.
Zhiwei Li
Shijiazhuang Mechanical Engineering Coll.
Zhirong Li
Shijiazhuang Mechanical Engineering Coll.
17:10-17:30
SatB05-6
Model Construction and Mechanism Analysis on The Power
Systems of Enhance the competitiveness of innovative enterprises
Yumei Wang
Qingdao Univ. of Scie. and Tech.
Shuai Wang
Qingdao Univ. of Scie. and Tech.
SatB06
Neural networks (II)
Chair: Penghua Li
CO-Chair: Tengfei Zhang
Room8B
15:30-17:30
Chongqing Univ. of Posts &
Telecommunications
Nanjing Univ. of Posts and
Telecommunications
15:30-15:50
SatB06-1
Speaker Identification Based On Gammatone Cepstral Coefficients
And General Regression Neural Network
Penghua Li
Chongqing Univ. of Posts & Telecommunications
Chongqing Automotive Electronics & Embedded
System Research Center
Fangchao Hu
Chongqing Univ. of Posts & Telecommunications
Yinguo Li
Chongqing Univ. of Posts & Telecommunications
Chongqing Automotive Electronics & Embedded
System Research Center
Baomei Qiu
Chongqing Univ. of Posts & Telecommunications
Chongqing Automotive Electronics & Embedded
System Research Center
15:50-16:10
SatB06-2
Nonlinear Internal Model Control Based on Fuzzy Rough Granular
Neural Networks
Tengfei Zhang
Nanjing Univ. of Posts and Telecommunications
Yaliang Tan
Nanjing Univ. of Posts and Telecommunications
Fumin Ma
Nanjing Univ. of Finance and Economics
16:10-16:30
SatB06-3
Hysteretic Neural Network and Its Application in the Prediction of
the Wind Speed Series
Hongfei Wang
Tianjin polytechnic Univ.
Chunbo Xiu
Tianjin polytechnic Univ.
Yanqing Li
Univ. of Scie. and Tech. Beijing
Yi Cheng
Tianjin polytechnic Univ.
Yimei Chen
Tianjin polytechnic Univ.
16:30-16:50
SatB06-4
An Improved Artificial Immune Network for Multimodal Function
Optimization
Zhonghua Li
Sun Yat-sen Univ.
Jianming Li
Sun Yat-sen Univ.
Jieying Zhou
Sun Yat-sen Univ.
16:50-17:10
SatB06-5
Constrained Graph Concept Factorization for Image Clustering
Yuqing Shi
Northwest Univ. for Nationalities
Shiqiang Du
Northwest Univ. for Nationalities
Weilan Wang
Northwest Univ. for Nationalities
17:10-17:30
SatB06-6
Technical Programmes
The modeling for pellets induration process based on Bagging
method
Xiaoke Fang
Northeastern Univ.
Jun Peng
Northeastern Univ.
Jianhui Wang
Northeastern Univ.
Xiao Wang
Northeastern Univ.
SatB07
Room9A
Fault diagnosis and fault-tolerant control (II)
15:30-17:30
Chair: Yuntao Shi
North China Univ. of Tech.
CO-Chair: Rui Bin
Central South Univ., and Hunan Engineering
Laboratory for Advanced Control and Intelligent
Automation Changsha
15:30-15:50
SatB07-1
Hybrid Model Predictive Control and Fault Detection of Wind Energy
Conversion System Based on Mixed Logical Dynamic
Yuntao Shi
North China Univ. of Tech.
Shujuan Qiao
North China Univ. of Tech.
Yanjiao Hou
North China Univ. of Tech.
Zhijun Li
North China Univ. of Tech.
Dehui Sun
North China Univ. of Tech.
15:50-16:10
SatB07-2
Multiple Incipient Faults Prognosis for CCBII Braking System
Yingze Yang
Central South Univ., and Hunan Engineering
Laboratory for Advanced Control and Intelligent
Automation Changsha
Rui Bin
Central South Univ., and Hunan Engineering
Laboratory for Advanced Control and Intelligent
Automation Changsha
Zhiwu Huang
Central South Univ., and Hunan Engineering
Laboratory for Advanced Control and Intelligent
Automation Changsha
Yufu Qin
Central South Univ., and Hunan Engineering
Laboratory for Advanced Control and Intelligent
Automation Changsha
Jiandui Yi
Central South Univ., and Hunan Engineering
Laboratory for Advanced Control and Intelligent
Automation Changsha
16:10-16:30
SatB07-3
A Parametric Design Method of Finite Time State Observers in
Linear Time-invariant Systems
Guo-sheng Wang
Academy of Armored Force Engineering
Fan Xia
Academy of Armored Force Engineering
Bing Liang
Jiangxi Univ. of Science and Tech.
Feng Guo
Academy of Armored Force Engineering
Liu Feng
Academy of Armored Force Engineering
16:30-16:50
SatB07-4
Rolling Bearing Fault Diagnosis Based on Wavelet Energy Spectrum,
PCA and PNN
Keyong Shao
Northeast Petroleum Univ.
Miaomiao Cai
Northeast Petroleum Univ.
Guofeng Zhao
The Third Oil Extraction Plant
16:50-17:10
SatB07-5
Research on Fault Diagnosis Method for Complex Equipment Based
on VPRS and NBNC
Chao Zhang
Northwestern Polytechnical Univ.
Liang Liu
Northwestern Polytechnical Univ.
Xi Wang
Northwestern Polytechnical Univ.
Yang Yu
Northwestern Polytechnical Univ.
Yong Zhou
Northwestern Polytechnical Univ.
17:10-17:30
SatB07-6
Fault Diagnosis Method for Complex Equipment using Cased-based
Reasoning
Chao Zhang
Northwestern Polytechnical Univ.
Xi Wang
Northwestern Polytechnical Univ.
Yang Yu
Northwestern Polytechnical Univ.
Liang Liu
Northwestern Polytechnical Univ.
Yong Zhou
Northwestern Polytechnical Univ.
SatB08
Motion control (I)
Chair: Baomei Qiu
CO-Chair: Jing He
Room9B
15:30-17:30
Chongqing Univ.of Posts & Telecommunications
Hunan Univ.of Tech.
Natiaonal Univ.of Defense Tech.
15:30-15:50
SatB08-1
Control and Design of Small Aerial Photography Stabilized Platform
Baomei Qiu
Chongqing Univ.of Posts & Telecommunications
Penghua Li
Chongqing Univ.of Posts & Telecommunications
Peipei Chen
Chongqing Univ.of Posts & Telecommunications
32
Yinguo Li
2014CCDC
Chongqing Univ.of Posts & Telecommunications
15:50-16:10
SatB08-2
A Multi-motor Synchronous Control Algorithm for Artificial Potential
Field with Adjacent Attractive Force
Changfan Zhang
Hunan Univ.of Tech.
Mangang Niu
Hunan Univ.of Tech.
Han Wu
Hunan Univ.of Tech.
Jing He
Hunan Univ.of Tech.
National Univ.of Defense Tech.
Yuanyuan Xiao
Hunan Univ.of Tech.
16:10-16:30
SatB08-3
Optimization method based swing-up control and visual validation
for rail length-limited parallel-coupled cart-pendulums system
Mengqi Xue
Shanghai Univ.
Minrui Fei
Shanghai Univ.
16:30-16:50
SatB08-4
A Practical Approach to Motion Control for Planar Multi-Rigid-Body
Systems
Rongqi Shi
Tsinghua Univ.
Jie Peng
Tsinghua Univ.
16:50-17:10
SatB08-5
Design and Analysis of Plug-in Repetitive Controller for
Zero-following Performance
Zeyuan Li
Beijing Jiaotong Univ.
Wennong Zhang
Shenzhen Univ.
Hiroshi Nakamura
YASKAWA Electric Corporation
Minoru Koga
YASKAWA Electric Corporation
Xiang Xu
Montion Control Institute Googol Tech.Ltd.
17:10-17:30
SatB08-6
Study on BDFG Control Strategy with Unbalanced loads
Shuai Zhang
Wuhan Univ.of Scie.and Tech.
Huikang Liu
Wuhan Univ.of Scie.and Tech.
SatB09
Room10A
Networked Agents: Coordinated Sensing, Localization and Control
(Invited Session)
15:30-17:30
Chair: Xiangke Wang
National University of Defense Technology
CO-Chair: Changbin Yu
The Australian National University
15:30-15:50
SatB09-1
Null-steering beamforming in uncertain environment
Jian Hou
Beijing Aerospace Automatic Control Institute,
Zhiyun Lin
Zhejiang University
15:50-16:10
SatB09-2
Distributed Robust Leaderless Consensus of Lipschitz Nonlinear
Multi-agent Systems with Matching Uncertainties
Zhongkui Li
Peking University
Yu Zhao
Peking University
Zhisheng Duan
Peking University
16:10-16:30
SatB09-3
Autonomous Target Localization using Quadrotor
Yun Hou
The Australian National Univ. and NICTA Ltd
Changbin Yu
The Australian National Univ. and NICTA Ltd
16:30-16:50
SatB09-4
A Time Synchronization Method of Wireless Sensor Networks
Based on the Simulated Annealing Algorithm
Fuqiang Wang
Shandong Academy of Sciences
Xiaoming Wu
Shandong Academy of Sciences
Yong Pang
Shandong Academy of Sciences
Changbin Yu
Shandong Academy of Sciences
Yifan Hu
Shandong Academy of Sciences
Xiangzhi Liu
Shandong Academy of Sciences
16:50-17:10
SatB09-5
A Novel Approach to NLOS Identification in Sensor Localization
Wenye Meng
Inner Mongolia University
Huang Baoqi
Inner Mongolia University
Guanglai Gao
Inner Mongolia University
17:10-17:30
SatB09-6
Nonlinear Consensus under Directed Graph via the Edge Laplacian
Zhiwen Zeng
National University of Defense Technology
Xiangke Wang
National University of Defense Technology
zhiqiang zheng
National University of Defense Technology
Technical Programmes
17:30-17:50
SatB09-7
A Particle Swarm Algorithm Based Routing Recovery Method for
Mobile Sink Wireless Sensor Networks
Yi-fan Hu
Shandong Computer Science Center
Xiao-ming Wu
Shandong Computer Science Center
Fu-qiang Wang
Shandong Computer Science Center
Hua Han
Shanghai University of Engineering Science,
SatB10
Room10B
Stability and Control of Networked Control Systems(Invited Session)
15:30-17:30
Chair: Xi-Ming Sun
Dalian University of Technology
CO-Chair: Huawen Ye
Central South University
15:30-15:50
SatB10-1
A new stability criterion for networked predictive control system
with varying controller gains scheme
Sheng-li Du
Dalian University of Technology
Xi-ming Sun
Dalian University of Technology
Wei Wang
Dalian University of Technology
Chong-quan Zhong
Dalian University of Technology
15:50-16:10
SatB10-2
Fuzzy-Model-Based Stabilization of Nonlinear Networked Control
Systems
Jianan Huang
Guangdong University of Technology
Bing Tang
Guangdong University of Technology
Defeng He
Guangdong University of Technology
Yun Zhang
Guangdong University of Technology
16:10-16:30
SatB10-3
Continuous-Time Markov Chains Based H∞ Control of Networked
Control Systems
Qing-kui Li
Shanxi University
Ning Yang
Shanxi University
Wei-wei Gao
Shanxi University
Mei Li
Shanxi University
16:30-16:50
SatB10-4
Set Stability of Boolean Networks via Quotient Mappings
Wang Pan
Central South University
Guo Yuqian
Central South University
16:50-17:10
SatB10-5
The flocking and formation of multiple agents based on multiple
virtual leaders
Siming Li
Central South University
Huawen Ye
Central South University
17:10-17:30
SatB10-6
Controller Design for Observer-based Continuous-Time Networked
Control Systems with Packet Dropout and Delay
Wang Tian-Bao
Northeastern Univ.
Wang Yu-Long
Jiangsu Univ. of Scie. and Tech.
Zhang Jian
Nanjing Univ. of Information Scie. and Tech.
Feng Yi-Fu
Jilin Normal Univ.
SatB11
Room11B
On the robust and adaptive control for the hypersonic flight vehicles
(Invited Session)
15:30-17:30
Chair: Bin Meng
Beijing Institute of Control Engineering
CO-Chair: Hong-Fei Sun
Xiamen Univ.
15:30-15:50
SatB11-1
Research Progresses on Characteristic Model-Based Control of
Hypersonic Flight Vehicles
Meng Bin
Beijing Institute of Control Engineering
15:50-16:10
SatB11-2
On the Feedback Linearization Control for Hypersonic Flight Vehicle
Analogy X20
Gong Yulian
Beijing Institute of Control Engineering
Meng Bin
Beijing Institute of Control Engineering
16:10-16:30
SatB11-3
Robust Adaptive Tracking Control for Air-Breathing Hypersonic
Vehicles
Zhiling Yang
Xiamen Univ.
Bin Meng
Beijing Institute of Control Engineering
Hongfei Sun
Xiamen Univ.
16:30-16:50
SatB11-4
2014CCDC
Tracking Control for Air-breathing Hypersonic Vehicles Based on
Active Disturbance Rejection Control Technique
Yan Jinke
Xiamen Univ.
Sun Hongfei
Xiamen Univ.
16:50-17:10
SatB11-5
Distributed Adaptive Attitude Consensus of Networked Spacecraft
on Directed Graphs
Lijiao Wang
Beijing Institute of Control Engineering
17:10-17:30
SatB11-6
Current Research and New Trends on Flight Control of
Air-Breathing Hypersonic Cruise Vehicles
LI Gongjun
Beijing Institute of Control Engineering
SatBIS
(Interactive Session)
SatBIS-1
Analysis Based on the Shortest Path Method of Equipment
Replacement
Ping Zhao
Xi'an Univ. of Architecture and Tech.
Laifeng Li
Xi'an Univ. of Architecture and Tech.
SatBIS-2
An improved Harmony search algorithm with dynamic control
parameters for continuous optimization problems
Biao Zhang
Liaocheng Univ.
Huihui Yan
Liaocheng Univ.
Junhua Duan
Liaocheng Univ.
J.J.Liang
Zhengzhou Univ.
Hongyan Sang
Liaocheng Univ.
Quanke Pan
Northeastern Univ.
SatBIS-3
The Application of Ascending Iterative Optimization Algorithm
Yi Xu
Northeast Dianli Univ.
SatBIS-4
The Research and Application of Laying Photovoltaic Battery
The Optimal Obliquity
Jie Zhang
Northeast Dianli
Lianjie Shan
Northeast Dianli
Feng Li
Northeast Dianli
Tingyu Gao
Northeast Dianli
Univ.
Univ.
Univ.
Univ.
SatBIS-5
The Study of Two Stage Optimization Model of PV
Design
Jie Zhang
Northeast
Chao Yin
Northeast
Menggang Jiao
Northeast
Wenyu Liu
Northeast
Univ.
Univ.
Univ.
Univ.
With
Installation
Dianli
Dianli
Dianli
Dianli
SatBIS-6
Gain Estimates and Exponential ISS for a Class of Hybrid Dynamical
Networks
Bin Liu
Hunan Univ. of Technology
Chunxia Dou
Yanshan Univ.
Dong-Nan Liu
Hunan Univ. of Technology
SatBIS-7
A Predictive Current Control Strategy for
Doubly-fed Wind Power System
Yang Shen
State Grid ShangHai
Company JiaDing
Li Zhang
State Grid ShangHai
Company JiaDing
Hui Chen
State Grid ShangHai
Company JiaDing
Xianfeng Lu
State Grid ShangHai
Company JiaDing
Zhong Qian
State Grid ShangHai
Company JiaDing
Grid Side Converter in
Municipal Electric Power
Power Supply Company
Municipal Electric Power
Power Supply Company
Municipal Electric Power
Power Supply Company
Municipal Electric Power
Power Supply Company
Municipal Electric Power
Power Supply Company
SatBIS-8
The Basic Properties and Algorithm of a Linear Bilevel
Programming Model with Multiple Followers
Shengyue Deng
Hunan Univ. of Tech.
Yangjin Cheng
Xiangtan Univ.
Xinfan Wang
Hunan Univ. of Tech.
SatBIS-9
33
The lobby of the 4th floor
15:30-17:30
Technical Programmes
Improved Ant Colony Based Multi-objective Multi-task Routing for
4PL Under Non-reusable Capacity
Liang Ren
Northeastern Univ.
Min Huang
Northeastern Univ.
SatBIS-10
Two Modified PRP Conjugate Gradient Methods with Sufficient
Descent property for Unconstrained Optimization
Yubin Zhou
Coll. of Humanities and Scie. of Northeast
Normal Univ.
Zhongbo Sun
Coll. of Humanities and Scie. of Northeast
Normal Univ.
Jilin Univ.
Xudong Shi
Coll. of Humanities and Scie. of Northeast
Normal Univ.
Yinghui Teng
Coll. of Humanities and Scie. of Northeast
Normal Univ.
SatBIS-11
Solving Multiobjective Optimal Reactive Power Dispatch Using
Improved Multiobjective Particle Swarm Optimization
Yujiao Zeng
Automation Research and Design
Institute of Metallurgical Industry
Yanguang Sun
Automation Research and Design
Institute of Metallurgical Industry
SatBIS-12
Application of quantum-behaved particle swarm optimization
algorithm
Shanli Wang
Guangxi Univ.
Jun Long
Guangxi Univ.
Zhiyi Wei
Guangxi Univ.
SatBIS-13
Optimization Chemical Control in Integrated Pest Management
Hongjun Guan
Shenyang Univ.
SatBIS-14
Prediction Model of Non-stationary Time Series Parameters
Complex Blending Process
Lijun Xi
Hunan Univ. of
Lingshuang Kong
Hunan Univ. of
Shenping Xiao
Hunan Univ. of
Gang Chen
Hunan Univ. of
for a
Tech.
Tech.
Tech.
Tech.
SatBIS-15
Combining CA and PSO to Solve Flexible Job shop Scheduling
Problem
Wei Zhou
East China Univ. of Scie. and Tech.
Yanping Bu
Shanghai Jiaotong Univ.
Yeqing Zhou
Fudan Univ.
SatBIS-16
An Improved NSGA-II to Solve Multi-Objective Optimization Problem
Yaping Fu
Northeastern Univ.
Min Huang
Northeastern Univ.
Hongfeng Wang
Northeastern Univ.
Guanjie Jiang
Northeastern Univ.
Univ. of Scie. and Tech. Liaoning
SatBIS-17
Guidance law modeling based on the ideal line-of-sight with
constraint of the terminal flight angle and acceleration
Hao Li
Beijing Institute of Tech.
Haoping She
Beijing Institute of Tech.
SatBIS-18
Research on Partner Selection Problem of Virtual Enterprise Based
on Improved Genetic Algorithm
Wei Zhou
East China Univ. of Scie. and Tech.
Yanping Bu
Shanghai Jiaotong Univ.
Yeqing Zhou
Fudan Univ.
SatBIS-19
Feedback-assisted Iterative Learning Control Based on a Nonlinear
Fuzzy Model
Ke Xi
North China Electric Power Univ.
Xiangjie Liu
North China Electric Power Univ.
SatBIS-20
Nonlinear Multivariable Supervisory
Drum-Type Boiler-Turbine System
Predictive
Control
for
34
Yubin Jia
X. J. Liu
2014CCDC
North China Electric Power Univ.
North China Electric Power Univ.
SatBIS-21
Reactive Power Optimization of Electric Power System
Incorporating Wind Power Based on Parallel Immune Particle
Swarm Optimization
Tianhong Wang
China Power Complete Equipment Co., Ltd.
Guili Yuan
North China Electric Power Univ.
Lei Zhu
North China Electric Power Univ.
Tong Yu
North China Electric Power Univ.
SatBIS-22
The UAV dynamic path planning algorithm research based on
Voronoi diagram
Xia Chen
Shenyang Aerospace Univ.
Xiangmin Chen
Shenyang Aerospace Univ.
SatBIS-23
A Fast Weight Optimization Method in H∞ Loop-shaping Design for
Single Input Single Output System
Yuyan Liu
North China Electric Power Univ.
Shiliang Zhou
North China Electric Power Univ.
SatBIS-24
An off-line approach to dynamic output feedback robust model
predictive control with ellipsoidal estimation error set
Xubin Ping
Xidian Univ.
Ning Sun
Xidian Univ.
Baocang Ding
Xi’an Jiaotong Univ.
SatBIS-25
A Comparison of Accuracy and Efficiency of Three Control Strategy
Design Methods for Low Energy Moon Return Mission
Yue Liu
Harbin Institute of Tech.
Wuxing Jing
Harbin Institute of Tech.
Yingying Xiao
Harbin Institute of Tech.
SatBIS-26
Opposition-Based Learning Harmony Search Algorithm with
Mutation for Solving Global Optimization Problems
Hao Wang
Northeastern Univ.
LiaoNing provincial Coll. of Communications
Haibin OuYang
Northeastern Univ.
Liqun Gao
Northeastern Univ.
Wei Qin
China Academy of Aerospace Aerodynamics
(CAAA)
SatBIS-27
Optimal Guidance Law in Quantum Mechanics
Ciann-Dong Yang
National Cheng Kung Univ.
Lieh-Lieh Cheng
National Cheng Kung Univ.
Ming-Hsien Hsia
National Cheng Kung Univ.
SatBIS-28
The Optimization Model and Algorithm Study of Photovoltaic Cells
Installation and Design
Ru Qu
Northeast Dianli Univ.
Ruonan Xu
Northeast Dianli Univ.
Yuting Bian
Northeast Dianli Univ.
Yue Liu
Northeast Dianli Univ.
SatBIS-29
Application of Quorum
Convergence Promotion
Shan Cheng
Gang Hu
Tianya Qin
Sensing
to
PSO
and
MOPSO
for
China Three Gorges Univ.
Chongqing Univ. of Scie.and Tech.
China Three Gorges Univ.
SatBIS-30
Research of Urban Green Space Distribution Based on Convex
Programming Model
Xiaoning Yue
Shenyang Univ.
Mengxiang Wu
Shenyang Univ.
Yue Ding
Shenyang Univ.
SatBIS-31
Comparative Study on Several PSO Algorithms
Weichang Jiang
Beijing University of Tech.
Yating zhang
Beijing University of Tech.
Ruihua Wang
Beijing University of Tech.
Technical Programmes
SatBIS-32
Research of Harmony Search Algorithm based on variable metric
method
Wei Qi
Henan Univ.
Xuwang Liu
Henan Univ.
SatBIS-33
A new sample update strategy based on kringing
Yuanyuan Chen
Northwest Polytechnical Univ.
Junqiang Bai
Northwest Polytechnical Univ.
Dan Wang
Northwest Polytechnical Univ.
SatBIS-34
An Improved Quantum Particle Swarm Optimization and Its
Application in System Identification
Huang yu
North China Electric Power Univ.
Xiao tiantian
North China Electric Power Univ.
Han pu
North China Electric Power Univ.
SatBIS-35
Some Necessary and Sufficient Conditions for Containment Control
of the Second-order Multi-agent Systems
Bin Qi
Jiangnan Univ.
Wuxi Institute of Tech.
Baotong Cui
Jiangnan Univ.
Xiaojiao Zhang
Jiangnan Univ.
SatBIS-36
Finite-time attitude consensus tracking with terminal sliding mode
observer
Xinsheng Wang
Harbin Institute of Tech.
Huaqiang Zhang
Harbin Institute of Tech.
Changxi Li
Harbin Institute of Tech.
SatBIS-37
Consensus of multi-agent nonlinear dynamic systems under slow
switching topology
Junwei Wang
Guangdong Univ. of Foreign Studies
Guangdong Univ. of Tech.
Kairui Chen
Guangdong Univ. of Tech.
Yun Zhang
Guangdong Univ. of Tech.
SatBIS-38
Mean Square Synchronization of Nonlinear Multi-Agent Systems
under Measurement Noises
Wenhui Liu
South China Univ. of Tech.
Feiqi Deng
South China Univ. of Tech.
Jiarong Liang
Guangxi Univ.
Hongwei Ren
South China Univ. of Tech.
Guangdong Univ. of Petrochemical Tech.
SatBIS-39
A new consensus protocol for high order multi-agent systems
Changbin Li
Tianjin Univ.
Chunyan Du
Tianjin Univ.
Yi He
Tianjin Univ.
SatBIS-40
Synchronization Control of Multi-finger Dexterous Hand
Iterative Learning Control Scheme
Lei Chen
Huazhong Univ. of Scie.
Mingfeng Ge
Huazhong Univ. of Scie.
Dingxin He
Huazhong Univ. of Scie.
Zhihong Guan
Huazhong Univ. of Scie.
Yanwu Wang
Huazhong Univ. of Scie.
Li Fu
Jianhui Xi
Yan Ren
2014CCDC
Shenyang Aerospace Univ.
Shenyang Aerospace Univ.
Shenyang Aerospace Univ.
SatBIS-44
New self-calibration schemes for accelerometers of platform
Chan Li
National Univ. of Defense
Yuan Cao
National Univ. of Defense
Zhijian Ding
National Univ. of Defense
Hong Cai
National Univ. of Defense
Tech.
Tech.
Tech.
Tech.
SatBIS-45
Identification of MIMO Hammerstein-Wiener System
Jing Bai
Northeastern
Beihua
Zhizhong Mao
Northeastern
Feng Yu
Northeastern
Yajun Wang
Northeastern
Liaoning Univ. of
Univ.
Univ.
Univ.
Univ.
Univ.
Tech.
SatBIS-46
MIMO System Identification with Extended MADALINE Neural
Network Trained by Levenberg-Marquardt Method
Wenle Zhang
Univ. of Arkansas at Little Rock
SatBIS-47
A Novel Approach for Modelling of an Injector Powered Transonic
Wind Tunnel
Wei Rui
High Speed Aerodynamics Institute, China Aero
dynamics Research and Development Center
JianHua Qin
High Speed Aerodynamics Institute, China Aero
dynamics Research and Development Center
YongYi Ma
High Speed Aerodynamics Institute, China Aero
dynamics Research and Development Center
SatBIS-48
Gradient-based iteration for a class of matrix equations
Huamin Zhang
Bengbu College,
SatBIS-49
Attitudes Decoupling Control and Disturbance Compensation of the
Hypersonic Vehicle
Zhiqiang Yan
Second Artillery Equipment Academe
Jianhua Mu
Second Artillery Equipment Academe
Jishuang Qu
Second Artillery Equipment Academe
Weiwei Xia
Second Artillery Equipment Academe
SatBIS-50
Research of Optimized Adaptive Kalman Filtering
Fuzhen Xu
Yongqing Su
Hao Liu
Tongji Univ.
Tongji Univ.
Tongji Univ.
Sunday, 1 June, 2014
SunA01
Process control (I)
Chair: Wen Tan
CO-Chair: Yan Liu
Room11A
10:20-12:20
North China Electric Power Univ.
Northeastern Univ.
Based on
and
and
and
and
and
Tech.
Tech.
Tech.
Tech.
Tech.
SatBIS-41
A kind of Soft Sensing Method for Biomass Concentration of
Phytoplankton in Seawater
Ying Zhang
Shanghai Maritime Univ.
Jia Shi
Shanghai Maritime Univ.
SatBIS-42
Primary Research on the System Identification Method of Pitching
and Heave Motion of Composite Trimaran
Feng Zhu
China Ship Scientific Research Center
Songlin Yang
Jiangsu Univ.of Scie. and Tech.
SatBIS-43
Research on Measurement of Infrared Spectral Radiant Intensity of
Aero-engine Exhaust System
Yanmei Liu
Shenyang Aerospace Univ.
35
10:20-10:40
SunA01-1
Levant differentiator based output-feedback control for slosh
suppression using super-twisting algorithm
Jyoti Prakash Mishra
College of Engineering
Shailaja R Kurode
College of Engineering
10:40-11:00
SunA01-2
Complex Process Operating Optimality Assessment and
Nonoptimal Cause Identification Using Modified Total Kernel PLS
Yan Liu
Northeastern Univ.
Yuqing Chang
Northeastern Univ.
State Key Laboratory of Synthetical Automation
for Process Industries
Fuli Wang
Northeastern Univ.
State Key Laboratory of Synthetical Automation
for Process Industries
Ruicheng Ma
Liaoning Univ.
Honglin Zhang
Northeastern Univ.
11:00-11:20
SunA01-3
Adaptive EWMA Controller based on Dynamic Modeling in
Semiconductor Manufacturing
Cuicui Ge
Soochow Univ.
Technical Programmes
Liang Chen
Feilong Wang
Soochow Univ.
Soochow Univ.
11:20-11:40
SunA01-4
Multivariable Decoupling Control for a Benchmark Boiler
Damiran Ulemj
North China Electric Power Univ.
Caifen Fu
North China Electric Power Univ.
Wen Tan
North China Electric Power Univ.
11:40-12:00
SunA01-5
Multivariable PID Controller Design for a Benchmark Boiler
Damiran Ulemj
North China Electric Power Univ.
Caifen Fu
North China Electric Power Univ.
Wen Tan
North China Electric Power Univ.
12:00-12:20
SunA01-6
Design and Implementation of A Microwave Heating System Based
on Dual-Closed Loop Control Strategy
Yupeng Yuan
Chongqing Univ.
Shan Liang
Chongqing Univ.
Qingyu Xiong
Chongqing Univ.
Jiaqi Zhong
Chongqing Univ.
Zhihui Wang
Chongqing Univ.
SunA02
Robust control (II)
Chair: Junli Wu
CO-Chair: Fangfang Hu
Room6A
10:20-12:20
Huaqiao Univ.
Harbin Institute of Tech.
10:20-10:40
SunA02-1
Model Predictive Control for Drum Water Level of Boiler Systems
Junli Wu
Huaqiao Univ.
Jiamusi Univ.
Kaiyong Jiang
Huaqiao Univ.
Hamid Reza Karimi
University of Agder
Xiaojie Su
Harbin Institute of Tech.
10:40-11:00
SunA02-2
Robust Fault-tolerant Attitude Control of Three-axis Stabilized
Satellite
Xueqin Chen
Harbin Institute of Tech.
Fangfang Hu
Harbin Institute of Tech.
Yahui Sun
Harbin Institute of Tech.
Rui Sun
Harbin Institute of Tech.
11:00-11:20
SunA02-3
Decentralized Fuzzy Guaranteed Cost Tracking Control with Poles
Assignment for Bank-to-Turn Missile
Kun Shi
Northwestern Polytechnical Univ.
Xiaogeng Liang
Northwestern Polytechnical Univ.
11:20-11:40
Delay-Interval-Dependent Robust Stabilization
Stochastic System with Multiple Time-Delays
Huihui Zhang
Jianwei Xia
for
SunA02-4
Uncertain
Liaocheng Univ.
Liaocheng Univ.
11:40-12:00
SunA02-5
Integral sliding mode output control of delta operator systems with
insensitivity to sampling time jitter
Liying Hao
Dalian Ocean Univ.
Hui Li
Dalian Maritime Univ.
Xianggui Guo
Tianjin University of Tech.
Jinyan Song
Dalian Ocean Univ.
Hongshuai Pang
Dalian Ocean Univ.
12:00-12:20
SunA02-6
Integral sliding mode fault-tolerant control against actuator
nonsymmetric deadzone and unmatched disturbances
Liying Hao
Dalian Ocean Univ.
Hui Li
Dalian Maritime Univ.
Xianggui Guo
Tianjin University of Tech.
Jinyan Song
Dalian Ocean Univ.
Hongshuai Pang
Dalian Ocean Univ.
SunA03
Optimal control and optimization (III)
Chair: Junwei Li
CO-Chair: Zhe Gao
10:20-10:40
Fractional-order Particle Swarm Optimization
Zhe Gao
Room7A
10:20-12:20
Henan Univ.
Liaoning Univ.
SunA03-1
Liaoning Univ.
36
Junxiu Wei
Chao Liang
Ming Yan
2014CCDC
Liaoning Univ.
Liaoning Univ.
Liaoning Univ.
10:40-11:00
SunA03-2
Transportation and Effect on Economic Growth Based on Optimal
Control Theory
Yushun Tan
Southeast Univ.
Nanjing Univ. of Finance and Economics
Senfa Chen
Southeast Univ.
Yuanyuan Zhang
Nanjing Univ. of Finance and Economics
Jinliang Liu
Nanjing Univ. of Finance and Economics
11:00-11:20
SunA03-3
Aerodynamic Optimization Utilizing Control Theory
Xiaoliang Zhang
Northwestern Polytechnical Univ.
Junqiang Bai
Northwestern Polytechnical Univ.
11:20-11:40
SunA03-4
Tracking Guidance Strategy for Low-thrust Transfer Trajectory
Based on NMPC Theory
Haibin Shang
Beijing Institute of Tech.
Shuai Wang
Beijing Institute of Tech.
Ting Jin
Beijing Institute of Tech.
Xiangyu Huang
Scie. and Tech. on Space Intelligent Control
Laboratory
11:40-12:00
SunA03-5
New Structure of Kalman Filter base on Adaptive Genetic Algorithm
for Radar Networking
Mingming Yan
Shenyang Artillery Academy
Wei Pan
Shenyang Artillery Academy
12:00-12:20
SunA03-6
Chaotic Particle Swarm Optimization Algorithm Based on Adaptive
Inertia Weight
Junwei Li
Henan Univ.
Yongmei Cheng
Northwestern Polytechnical Univ.
Kezhe Chen
Northwestern Polytechnical Univ.
SunA04
Intelligent systems (I)
Chair: Feng Liu
CO-Chair: Zhongliang Zhang
Room7B
10:20-12:20
Tsinghua Univ.
Northeastern Univ.
10:20-10:40
SunA04-1
Online and Model-Free Supplementary Learning Control Based on
Approximate Dynamic Programming
Wentao Guo
Tsinghua Univ.
Feng Liu
Tsinghua Univ.
Jennie Si
Arizona State Univ.
Shengwei Mei
Tsinghua Univ.
10:40-11:00
SunA04-2
The Application of Adaptive Genetic Algorithms in Single-Resistant
Radar Jamming
Wei Pan
Shenyang Artillery Academy
Sili Liu
Shenyang Artillery Academy
Hongzhi Dong
Shenyang Artillery Academy
11:00-11:20
The Application of Data Mining
Evaluation: an Experimental Study
Zhongliang Zhang
Jianguo Tang
Tech. Center of
Xinggang Luo
Jiafu Tang
Zhaoyu Meng
Tech. Center of
Danna Qiao
Tech. Center of
SunA04-3
in Cigarette Sensory Quality
Northeastern Univ.
Hongta Tobacco Group Co., Ltd.
Northeastern Univ.
Northeastern Univ.
Hongta Tobacco Group Co., Ltd.
Hongta Tobacco Group Co., Ltd.
11:20-11:40
SunA04-4
Non-integer Norm Regularized Logistic Regression
Jianwei Liu
Research Inst. of Auto. China Univ. of Petroleum
Zhengkang Sun
Research Inst. of Auto. China Univ. of Petroleum
Xionglin Luo
Research Inst. of Auto. China Univ. of Petroleum
11:40-12:00
SunA04-5
Multi-objective
Comprehensive
Learning
Particle
Swarm
Optimization based on Summation of Normalized Objectives and
Diversified Selection
Bo Zheng
Zhengzhou Univ.
B. Y. Qu
Zhongyuan Univ. of Tech.;
Zhengzhou Univ.
Technical Programmes
J.J.Liang
Hui Song
Zhengzhou Univ.
Zhengzhou Univ.
12:00-12:20
SunA04-6
Research on Water Level Measurement Based on Image
Recognition for Industrial Boiler
Sun Bin
Kunming Univ. of Scie. and Tech.
Changsheng Zhang
Kunming Univ. of Scie. and Tech.
Lun Li
Kunming Univ. of Scie. and Tech.
Jianping Wang
Kunming Univ. of Scie. and Tech.
SunA05
Room8A
Decision-making theory and method (III)
10:20-12:20
Chair: Quande Qin
Shenzhen Univ.
CO-Chair: Jianlong Zhang Shanxi Prov. water conservancy constru
ction and development centers
10:20-10:40
SunA05-1
A Fuzzy Two-stage Project Portfolio Selection Model Addressing
Financial and Non-financial Factors
Quande Qin
Shenzhen Univ.
Jinpeng Li
Shenzhen Univ.
Li Li
Shenzhen Univ.
10:40-11:00
SunA05-2
Water Supply Route Optimization for Reservoir Emergency Based
on Improved Ant Colony Algorithm
Xiangrun Du
Xi'an Univ. of Tech.
Shanxi Prov. water conservancy construction and
development centers
Jianlong Zhang
Shanxi Prov. water conservancy construction and
development centers
Minquan Feng
Xi'an Univ. of Tech.
11:00-11:20
SunA05-3
Survivability Evaluation of Network Combat System Based on Gray
Theory
Kaiyun Wang
Institute of Computer Application, China Academy of
Engineering Physics,
He Huang
Southwest Univ. of Scie. and Tech.
Peng Jia
Institute of Computer Application, China Academy of
Engineering Physics,
Ying Luo
Southwest Univ. of Scie. and Tech.
Hong Jang
Southwest Univ. of Scie. and Tech.
11:20-11:40
SunA05-4
Robust Operation Optimization in Cold Rolling Production Process
Yue Hong
Northeastern Univ.
Xianpeng Wang
Northeastern Univ.
11:40-12:00
SunA05-5
An approach to deriving interval weights from interval fuzzy
preference relations based on multiplicative transitivity
Hao Wang
China Agricultural Univ
Zhoujing Wang
Zhejiang Univ.of Finance and Economics
12:00-12:20
SunA05-6
UAV Real-time Path Planning Using Dynamic RCS based on Velocity
Vector Field
Guanglei Meng
Shenyang Aerospace Univ.
Jinlong Guo
Shenyang Aerospace Univ.
Fengqin Sun
Shijiazhuang Aircraft Industry Co., Ltd.
Feng Tian
Shenyang Aerospace Univ.
SunA06
Room8B
Fault diagnosis and fault-tolerant control (III)
10:20-12:20
Chair: Ziyang Qi
Harbin Institute of Tech.
CO-Chair: Jun Guo
Beijing Univ. of Tech.
10:20-10:40
SunA06-1
Modeling of Hemispherical Resonator Gyro Resonator Deformation
under Acceleration
Guoxing Yi
Harbin Institute of Tech.
Yangguang Xie
Aviation Industry Corporation of China
Changhong Wang
Harbin Institute of Tech.
Ziyang Qi
Harbin Institute of Tech.
Zhen Fang
China Electric Tech. Group Corporation
10:40-11:00
SunA06-2
Study on Automatic Diagnostic of Elevator Brake Coil Wearing
Jun Guo
Beijing Univ. of Tech.
Jinwei Fan
Beijing Univ. of Tech.
11:00-11:20
SunA06-3
37
2014CCDC
The Fault Diagnosis Research for the Underwater Vehicle System
Based on SOFCMAC
Ting Zhu
Shanghai Maritime Univ.
Daqi Zhu
Shanghai Maritime Univ.
11:20-11:40
SunA06-4
Fault detection using unknown input observers for heavy-haul
trains
Zhiheng Yu
Central South Univ.
And Hunan Engineering Laboratory for Advanced
Control and Intelligent Automation Changsha
Jun Peng
Central South Univ.
And Hunan Engineering Laboratory for Advanced
Control and Intelligent Automation Changsha
Weirong Liu
Central South Univ.
And Hunan Engineering Laboratory for Advanced
Control and Intelligent Automation Changsha
Yufu Qin
Central South Univ.
And Hunan Engineering Laboratory for Advanced
Control and Intelligent Automation Changsha
Jiandui Yi
Central South Univ.
And Hunan Engineering Laboratory for Advanced
Control and Intelligent Automation Changsha
11:40-12:00
SunA06-5
Steel surface defect detection and localization based on SVD and
two-side compressive measurements
Jingli Gao
Zhejiang Univ.
Chenglin Wen
Henan Univ. of Tech.
Meiqin Liu
Zhejiang Univ.
12:00-12:20
SunA06-6
Researches on Brittle Seam Mining based Enterprise Situation
Assessment and Prediction Mechanism in Hi-tech Enterprise
Cooperation-Competition Network
Zhuo Yi
Information Engineering Univ.
Shijun Yao
Information Engineering Univ.
SunA07
Social economy systems
Chair: Xin Tong
CO-Chair: Kongguo Zhu
Room9A
10:20-12:20
Northeastern Univ.
Library of Shandong Youth Univ. of
Political Scie.
10:20-10:40
SunA07-1
Correlation Analysis of Carbon Emissions and Influencing Factors
in China
Xin Tong
Northeastern Univ.
Kai Chen
Northeastern Univ.
10:40-11:00
SunA07-2
Simulating Approach Based Optimal Manpower planning in an
Employee Leasing Center and the Approximate Algorithm
Xiufu Zhang
Tianjin Univ. of Tech.
Gang Hao
Tianjin Univ. of Tech.
Zhijing Gou
Tianjin Univ. of Tech.
Bin Sun
Tianjin Univ. of Tech.
Junqing Sun
Tianjin Univ. of Tech.
11:00-11:20
SunA07-3
Analysis of the Factors Affecting the Credit Risk of China's Listed
Companies
Dong Wei
Shandong Committee Party School of C.P.C.
Yuyan Wang
Shandong Univ. of Finance and Economics
Zhixin Zhang
Shandong Univ. of Finance and Economics
11:20-11:40
SunA07-4
Research on the Improvement Effect of Lean Thinking to
Construction Safety Management
Kongguo Zhu
Library of Shandong Youth Univ. of Political Scie.
Jinggang Lv
Tianjin Univ. of Finance & Economics
11:40-12:00
SunA07-5
On Labor Force Unemployment of Each Region in Harbin in China
Wei Wang
Harbin Univ. of Commerce
Yonggang Ye
Harbin Univ. of Commerce
Jirong Zhao
Harbin Univ. of Commerce
12:00-12:20
SunA07-6
Type Selection of Tourism Supply Chain and its Safeguard
Mechanism
Danhong Chen
Shenyang Aerospace Univ.
Technical Programmes
SunA08
Control applications (I)
Chair: Rongqi Shi
CO-Chair: Yan Liu
Room9B
10:20-12:20
Tsinghua Univ.
Chinese Academy of Scie.
10:20-10:40
SunA08-1
Design of Active Disturbance Rejection Control System for
Morphing Flight Dynamics
Rongqi Shi
Tsinghua Univ.
Jie Peng
Tsinghua Univ.
10:40-11:00
SunA08-2
A Study on the Sync Guidance of the Multi-Lasers with the
Micro-Vision
Yan Liu
Chinese Academy of Scie.
Fangfang Liu
Chinese Academy of Scie.
Wei Zou
Chinese Academy of Scie.
11:00-11:20
SunA08-3
Local Hopf bifurcation analysis of logistic population dynamics
models with two delays
Sreelakshmi Manjunath
Indian Institute of Tech. Madras
Gaurav Raina
Indian Institute of Tech. Madras
11:20-11:40
SunA08-4
Simulation of the Ship Burble in a Cooperative Carrier Approach
Pattern
Ran Dong
Harbin Engineering Univ.
Guihua Xia
Harbin Engineering Univ.
11:40-12:00
SunA08-5
Study of FPGA-based Visual Detection for Pointer Dial
Bin Sun
Kunming Univ.of Scie.and Tech.
Changsheng Zhang
Kunming Univ.of Scie.and Tech.
Ziyu Liu
Kunming Univ.of Scie.and Tech.
Bin Qian
Kunming Univ.of Scie.and Tech.
Hanping Zhang
Kunming Univ.of Scie.and Tech.
12:00-12:20
SunA08-6
Partial Feed-forward Decoupling Based PI Control of CFBB
Combustion System
Jizhen Liu
North China Electric Power Univ.
Zhen-fang Zhong
North China Electric Power Univ.
SunA09
Robot control (I)
Chair: Ji Xiang
CO-Chair: Xuezhu Wang
Room10A
10:20-12:20
Zhejiang Univ.
Univ. of Chinese Academy of Scie.
Chinese Academy of Scie.
10:20-10:40
SunA09-1
Kinematic Control for Redundant Manipulators with Time
Dependent Constraints: General-Weighted Least-Norm Method
Pei Jiang
Zhejiang Univ.
Ji Xiang
Zhejiang Univ.
Wei Wei
Zhejiang Univ.
10:40-11:00
SunA09-2
Adaptive Backstepping Control of Flexible Joint Robots with
Friction Compensation Based on LuGre Model
Xuezhu Wang
Univ. of Chinese Academy of Scie.
Chinese Academy of Scie.
Hongyi Li
Chinese Academy of Scie.
Yuechao Wang
Chinese Academy of Scie.
Jianning Hua
Northeastern Univ.
11:00-11:20
SunA09-3
Multi-smart car control system design and research based on
ZigBee
Chuan Wang
Nanjing Normal Univ.
Zhongyu Shen
Nanjing Normal Univ.
Engang Tian
Nanjing Normal Univ.
Qiwen Zheng
Nanjing Normal Univ.
11:20-11:40
SunA09-4
A Kinematics Analysis for a 5-DOF Manipulator
Jinyan Lu
Chinese Academy of Scie.
De Xu
Chinese Academy of Scie.
Peng Wang
Chinese Academy of Scie.
11:40-12:00
SunA09-5
38
2014CCDC
A Fast Human Detection Algorithm of Video Surveillance in
Emergencies
Juan Ma
Southwest Univ. of Scie. and Tech.
Rongchun Hu
Southwest Univ. of Scie. and Tech.
Jian Li
Southwest Automation Research Institute
12:00-12:20
SunA09-6
Receding Horizon Control for Mobile Robot Path Planning in
Unknown Dynamic Environments
Yang Chen
Wuhan Univ. of Scie. and Tech.
Lei Cheng
Wuhan Univ. of Scie. and Tech.
Huaiyu Wu
Wuhan Univ. of Scie. and Tech.
Yanhua Yang
Chinese Academy of Scie.
SunA10
Room10B
Electric vehicles and intelligent transportation
10:20-12:20
Chair:Chenghui Zhang
Shandong Univ.
CO-Chair:Wenlong Yao
Dalian Maritime Univ.
10:20-10:40
SunA10-1
Full Speed Range Control of IPMSM for Electric Vehicles Based on
Hamiltonian Theory
Xudong Liu
Shandong Univ.
Ke Li
Shandong Univ.
Chenghui Zhang
Shandong Univ.
JingSun
Shandong Univ.
Shandong Institute of Business and Tech.
10:40-11:00
SunA10-2
Study on EV Charging Station Location Planning Based on the Load
Balance Principle with Agent-based AnyLogic Simulation
Ruifeng Shi
North China Electric Power Univ.
Shiyao Zheng
North China Electric Power Univ.
Chaoqun Zhang
North China Electric Power Univ.
Li Zhang
The Ministry of Scie. and Tech.
11:00-11:20
SunA10-3
Road Boundary Detection Based On Information Entropy
Xiao Hu
Northwestern Polytechnic Univ.
Compiegne Univ. of Tech.
Chao Huang
Compiegne Univ. of Tech.
Wei Cai
Institut national des scie. appliquees de Lyon
11:20-11:40
SunA10-4
Ship Electrical Propulsion Control System based on Improved
Model-free Adaptive Control
Wenlong Yao
Dalian Maritime Univ.
Ronghu Chi
Qingdao Univ. of Scie. and Tech.
Yuan Liu
Qingdao Ocean Shipping Mariners College
wei Shao
Qingdao Univ. of Scie. and Tech.
Jundong Zhang
Dalian Maritime Univ.
Guichen Zhang
Harbin Engineering Univ.
11:40-12:00
SunA10-5
A Nonlinear Control Allocation Algorithm for DYC in
Distributed-motor Drive Electric Vehicles using S-SQP
Lu Xiong
Tongji Univ.
Yuanlong Chen
Tongji Univ.
Chi Jin
Tongji Univ.
12:00-12:20
SunA10-6
Optimal Planning of the Clutch Slipping Control for Gear Shift of
2-speed Electric Vehicle
Qiong Liang
Jilin Univ.
Nana Tang
Jilin Univ.
Bingzhao Gao
Jilin Univ.
Hong Chen
Jilin Univ.
SunA11
Room11B
Intelligent Building Control and Management (I)
10:20-12:20
Chair: Yahui Wang
Beijing Univ. of Civil Engineering and
Architecture
CO-Chair:
10:20-10:40
SunA11-1
A Rapid and Low-Cost North-Finder Design with Error
Compensation
Fangzhou Zheng
Beijing Institute of Technology
Shugui Wu
National Earthquake Infrastructure Service
Xiao Lin
Beijing Institute of Technology
Yaping Dai
Beijing Institute of Technology
10:40-11:00
SunA11-2
An Adaptive Genetic Algorithm based on Arctangent Function
Technical Programmes
Ting Yu
Jiang-qiang Hu
Jian-chuan Yin
Xing-xing Huo
Dalian
Dalian
Dalian
Dalian
Maritime
Maritime
Maritime
Maritime
University
University
University
University
11:00-11:20
SunA11-3
A FDD Model of VAV Systems Based on Neural-Networks and
Residual Statistics
Han Qi
Beijing Univ. of Civil Engineering and Architecture,
Wei Dong
Beijing Univ. of Civil Engineering and Architecture,
11:20-11:40
SunA11-4
Resource Constrained Project Scheduling Problem Based on
Improved Ant Colony Algorithm
Jun YAN
Lanzhou Jiaotong University
Chunyan Zhao
Gansu LianHe University
Haiying Dong
Lanzhou Jiaotong University
11:40-12:00
SunA11-5
The City Gas Emergency Dispatching Strategy Based on Multi-agent
Wei Xufeng
Beijing Univ. of Civil Engineering and Architecture
Liu Chao
Beijing Univ. of Civil Engineering and Architecture
Wang Yahui
Beijing Univ. of Civil Engineering and Architecture
12:00-12:20
SunA11-6
Comparative Study on Permanent Magnet Synchronous Motor
Control Systems in Elevator
Muhan Nie
Beijing Univ. of Engineering and Architecture
Hongyan Ma
Beijing Univ. of Engineering and Architecture
SunAIS
Interactive Session
The lobby of the 4th floor
10:20-12:20
SunAIS-01
Non-destructive Detection on the Fertility of Injected SPF Eggs in
Vaccine Manufacture
Qilei Xu
Qingdao Univ.of Scie.and Tech.
Fengying Cui
Qingdao Univ.of Scie.and Tech.
SunAIS-02
An ARM-Based Embedded Gesture Recognition System Using a
Data Glove
Wang Jingqiu
Beijing Institute of Technology
Zhang Ting
Beijing Institute of Technology
SunAIS-03
The Design of Aviation Battery Charging and Discharging System
based on DSP
Chengtao Cai
Harbin Engineering Unvi.
Chao Yang
Harbin Engineering Unvi.
Xiaolong Lv
Harbin Engineering Unvi.
SunAIS-04
Delay-range-dependent stability for uncertain stochastic systems
with time-varying delay
Tao Liu
Qilu univ. of tech.
SunAIS-05
Hopf Bifurcation Analysis and Control of a New Lorenz-like System
Zhang Zhonghua
Northeast Dianli Univ.
SunAIS-06
Neural Network Adaptive State Feedback Control of a Magnetic
Levitation System
Shi-tie Zhao
Northeastern Univ.
Xian-wen Gao
Northeastern Univ.
SunAIS-07
Permanent Magnet Synchronous Motor Direct Torque Control
Based on Particle Filter Observer
Xu Wang
Northeastern Univ.
Yan Xing
Northeastern Univ.
Hong-liang Yu
Northeastern Univ.
Dan Yang
Northeastern Univ.
SunAIS-08
I&I Stabilization Based Novel Nonlinear Adaptive TCSC Control
Algorithm for Improving Transient Stability
Lei Zhang
Xi'an Polytechnic Univ.
Aimin Zhang
Xi'an Jiaotong Univ.
Junfeng Jing
Xi'an Polytechnic Univ.
39
2014CCDC
SunAIS-09
Study on the mathematical model of virus infection in pest
management
Jingjin Zhang
Key Lab. of Biologic Resources Protection and
Utilization of Hubei Province;
Hubei Minzu Univ.
Zhongyi
Key Lab. of Biologic Resources Protection and
Xiang
Utilization of Hubei Province;
Hubei Minzu Univ.
SunAIS-10
Quantized Feedback Stabilization of Nonlinear Cascaded Systems
with Dynamic Uncertainties
Tengfei Liu
Northeastern Univ.
Zhong-Ping Jiang
New York Univ.
SunAIS-11
Chaos Control for the Buck-Boost Converter by Improving the
Correlation
Meimei Jia
Tianjin Univ.
Guoshan Zhang
Tianjin Univ.
SunAIS-12
Formation Control of Robot Swarm Based on Community Division
and Multilevel Topology Design via Pining
Shiming Chen
East China Jiaotong University
Xianda Ding
East China Jiaotong University
Xiaoling Chen
East China Jiaotong University
SunAIS-13
Mach Number Prediction Models Based On Ensemble Neural
Networks for Wind Tunnel Testing
ZhiWei Jin
High Speed Aerodynamics Inst., China Aero
dynamics Research and Development Center
Li Zhao
High Speed Aerodynamics Inst., China Aero
dynamics Research and Development Center
ZhengZhou Rao
High Speed Aerodynamics Inst., China Aero
dynamics Research and Development Center
SunAIS-14
Stability Analysis of Switched Nonlinear Systems with an improved
Mode-dependent Average Dwell Time Method
Ling Ren
Qilu Univ. of Tech.
Rongwei Guo
Qilu Univ. of Tech.
Ping Zhao
Univ. of Jinan
Bin Li
Qilu Univ. of Tech.;
Shandong Univ.
SunAIS-15
Synchronization of Chua’s Circuits Based on Strictly Positive
Realness
Hong Niu
Tianjin Univ.
Guoshan Zhang
Tianjin Univ.
Jiankui Wang
Tianjin Univ.
SunAIS-16
Characteristic Models and AILC Design of Time-Varying Nonlinear
Systems
Mingxuan Sun
Zhejiang Univ. of Tech.
Jie Zhang
Zhejiang Univ. of Tech.
Hongbo Bi
Zhejiang Univ. of Tech.
SunAIS-17
Anti-windup Compensator Design for Fuzzy Descriptor System with
Delayed State and Saturating Input
Yanbin Luo
Hangzhou Dianzi Univ.
Qiuxuan Wu
Hangzhou Dianzi Univ.
Aipeng Jiang
Hangzhou Dianzi Univ.
SunAIS-18
Target tracking based on particle filter algorithm with multiple cues
fusion
Tao Zhang
Qingdao Univ. of Scie. and Tech.
Shumin Fei
Southeast Univ.
SunAIS-19
Finite-time Input-to-state Stability of Multi-agent Systems with
Switching Topologies
Xiaoli Wang
Harbin Inst. of Tech. at Weihai
Yumin Chen
Harbin Inst. of Tech. at Weihai
Qian Sun
Curtin Univ.
Technical Programmes
SunAIS-20
Analysis of Population Controllability and Prediction of Population
Structure Based on Constraint System
Xiao-ning Yue
Shenyang Univ.
Zhao-jia Meng
Shenyang Univ.
Feng-dan Xie
Shenyang Univ.
SunAIS-21
Trajectory tracking control for intelligent vehicle based on the
Euler-Lagrange systems
Chuang Guo
Beijing Univ. of Tech.
Longfei Dong
Beijing Univ. of Tech.
Yanrong Ge
Beijing Univ. of Tech.;
Hebei Normal Univ.
SunAIS-22
Clustering Analysis based on Adaptive Genetic Algorithm for
Performance Assessment
Xiangpeng Gao
Shenyang Artillery Acad.
Jianhua Wang
Shenyang Artillery Acad.;
Shenyang Cultural Broadcasting Press and
Publication Bureau
Shan Liang
119 Military Representative Office, General A
rmament Department
SunAIS-23
Gaussian Mixture Model with Semantic Distance for Image
Classification
Wei Wu
Inner Mongolia Univ.
Guanglai Gao
Inner Mongolia Univ.
Jianyun Nie
Univ. of Montreal
SunAIS-24
Intelligent Collaborative Urban Traffic Management System Based
on SOA and Cloud Computing
Fuquan Sun
Northeastern Univ.
Xi Yu
Dalian Inst. of Scie. and Tech.
Shixin Liu
Northeastern Univ.
Fuqiang Lu
Northeastern Univ.
SunAIS-25
Output Strictly Passive and Input Strictly Passive of Neutral
Systems
Jichun Wang
Northeast Univ.;
Liaoning Indu. Univ.
Qingling Zhang
Northeast Univ.
Dong Xiao
Northeast Univ.
Jingjing Bao
Northeast Univ.
Huiying Zhang
Northeast Univ.
SunAIS-26
A Group Division Method Based on Collaborative Learning
Elements
Long Chen
Jiangxi Normal Univ.
Qing-hong Yang
Jiangxi Normal Univ.
SunAIS-27
Online Actuator Reassignment for Fault Tolerant Flight Control
Lunlong Zhong
Civil Aviation Univ. of China
Félix Mora-Camino
Ecole Nationale de l'Aviation Civile
SunAIS-28
Research of Brain MRI Image Segmentation Algorithm Based on
FCM and SVM
Jun Xiao
Northeastern Univ.
Yifan Tong
Northeastern Univ.
SunAIS-29
The Shapley Value of Cooperative Game with Stochastic Payoffs
Cheng-Guo E
Yanshan Univ.
Quan-Lin Li
Yanshan Univ.
Shi-Yong Li
Yanshan Univ.
SunAIS-30
A Novel Algorithm for Divisible Resource Allocations under PSP
Auction Mechanism
Xingyu Shi
Beijing Inst. of Tech.
Suli Zou
Beijing Inst. of Tech.
Zhongjing Ma
Beijing Inst. of Tech.
SunAIS31
Nash Equilibrium Flow in a Routing Game with Random Queues
40
Tatiana Tatarenko
Ivan Popov
2014CCDC
TU Darmstadt
TU Darmstadt
SunAIS-32
Lot Release Strategy Semiconductor Assembly and Testing Based
on The Degree of Constraint of The Minimum Spanning Tree
Guohui Zhang
Chinese acadamy of sciences R&D center for int
ernet of things;
Jiangsu R&D center for internet of things;
Wuxi cas ubiquitious information technology R&D
center Co., LTD
Chang Liu
Wuxi cas ubiquitious information technology R&D
center Co., LTD ;
Shenyang inst. of auto. chinese acad. of scie.
Lili Yao
Shenyang inst. of auto. chinese acad. of scie.
Haibo Shi
Shenyang inst. of auto. chinese acad. of scie.
SunAIS-33
Risk Response Strategy Research of Water and Sediment
Regulation System running schemes in the yellow river
Zhao Jing
Key Lab of Northwest Water Resources and Environ
ment Ecology of MOE at Xi’an;
Hydrology Bureau of The Yellow River Conservancy
Commission
Yixin Zhao
Henan Water & Power Engineering Consulting Co.Ltd
Huang Qiang Key Lab of Northwest Water Resources and Environ
ment Ecology of MOE at Xi’an
Wenjun Tian
Hydrology Bureau of The Yellow River Conservancy
Commission
SunAIS-34
Three stability criteria for delayed stochastic genetic regulatory
networks and their conservativeness analysis
Jing Wang
Heilongjiang Univ.
Shaochun Cui
Heilongjiang Univ.
Xian Zhang
Heilongjiang Univ.
Yantao Wang
Heilongjiang Univ.
SunAIS-35
Application of Wireless Sensor Network in the Monitoring System of
Boiler
Gang Wu
Northeastern University
Shenyang University
Chengdong Wu
Northeastern University
Shichun Xu
Solution Research and Development of China Uni
on Communication department Asia Info-Linkage,
Inc.
SunAIS-36
The Detectability of Discrete-Time Stochastic Linear
Markovian Jump and Multiplicative Noises
Wenhui Liu
South China
Feiqi Deng
South China
Xuekui Yan
South China
Yinwei Zhao
South China
Systems with
Univ.
Univ.
Univ.
Univ.
of
of
of
of
Tech.
Tech.
Tech.
Tech.
SunAIS-37
Input/output-to-state stable property of switched stochastic
nonlinear systems by an improved average dwell time method
Ling Ren
Qilu Univ. of Tech.
Rongwei Guo
Qilu Univ. of Tech.
Ping Zhao
Univ. of Jinan
Bin Li
Qilu Univ. of Tech.;
Shandong Univ.
SunAIS-38
A HFID-based Online Testing Technique for Internal Pressure of
Vacuum Breaker
Liu Shuguang
Xi’an Polytechnic University
Anhui Dorje Electric Co. Ltd.
Guo Qian
Xi’an Polytechnic University
Wu Xuexing
Anhui Dorje Electric Co. Ltd.
SunAIS-39
Research on Active Heave Compensation for Offshore Crane
Liu Shuguang
Xi’an Polytechnic University
Anhui Dorje Electric Co. Ltd.
Guo Qian
Xi’an Polytechnic University
Zhao Wenpu
Anhui Dorje Electric Co. Ltd.
SunAIS-40
Reliability Assessment of Nuclear Power Plant Digital
Instrumentation and Control System I: Challenges and Research
Status of Reliability Assessment Methodology
Technical Programmes
Shiliang Zhou
Ruitao Jiang
Yuyan Liu
North China Electric Power Univ.
North China Electric Power Univ.
North China Electric Power Univ.
SunAIS-41
Reliability Assessment of Nuclear Power Plant Digital
Instrumentation and Control System II: Challenges from Uncertainty
of failure data and complexity of system and corresponding
research status
Shiliang Zhou
North China Electric Power Univ.
Yuyan Liu
North China Electric Power Univ.
SunAIS -42
Distributed Nested Rotating Consensus Problem of Multi-agent
Systems
Peng Lin
Chongqing Univ.
Wanting Lu
Chongqing Univ.
Yongduan Song
Chongqing Univ.
SunAIS-43
Consensus Analysis of a Class of Second-order Multi-Agent
Systems with Nonuniform Time-delays and Dynamically Changing
Topologies
Hui Gao
Chongqing Univ.
Yongduan Song
Chongqing Univ.
SunAIS-44
An Electricity Charge Strategy Based on Dynamic Rewards and
Punishment
LI Yan-ping
Shenyang University
YU Dan
Shenyang University
XU Dai-dai
Shenyang University
LI Xin
Shenyang University
SunAIS-45
Power Management and Control for Photovoltaic System Based on
SWOT Model
Xiaohong Ma
Hubei Univ. for Nationalities
Shaowu Li
Hubei Univ. for Nationalities
Qing Ai
Hubei Univ. for Nationalities
Kunyi Chen
Hubei Univ. for Nationalities
Dongshan Geng
Hubei Univ. for Nationalities
SunAIS-46
Research on Meta-model of Driver Behavior in Agent-based Traffic
Evacuation Simulation
Shengcheng Yuan
Tsinghua Univ.
Yi Liu
Tsinghua Univ.
Gangqiao Wang
Tsinghua Univ.
Yi Liu
Tsinghua Univ.
Hui Zhang
Tsinghua Univ.
SunAIS-47
Coordinated Control of Traffic Flow in Complex-Arterial Networks
Under the Big Data Background
Feng Lin
Zhejiang Univ. of Tech.
Yuanjing Feng
Zhejiang Univ. of Tech.
Kang Li
Zhejiang Univ. of Tech.
Ming Zhang
Zhejiang Univ. of Tech.
SunAIS-48
The Energy Efficiency Monitoring and Operation Optimization of
Central Air Conditioners
Yu Zhou
South China Univ. of Tech.
City Air-conditioning Energy Conservation and
Control Project Techn. Research Exploitation
Center of Guangdong
Junwei Yan
South China Univ. of Tech.
City Air-conditioning Energy Conservation and
Control Project Techn. Research Exploitation
Center of Guangdong
Haijie Lin
South China Univ. of Tech.
City Air-conditioning Energy Conservation and
Control Project Techn. Research Exploitation
Center of Guangdong
SunAIS-49
An Advanced Adaptive Backstepping Control Method for STATCOM
Chao Zhang
Xi’an Jiaotong Univ.
Aimin Zhang
Xi’an Jiaotong Univ.
Xi’an Jiaotong Univ.
Hang Zhang
Nan Wang
State Grid Shanxi Electric Power Company Econo
mic Research Institute
Zhigang Ren
Xi’an Jiaotong Univ.
41
2014CCDC
Xi’an Jiaotong Univ.
Xi’an Jiaotong Univ.
Jingjing Huang
Yingsan Geng
SunAIS-50
Model Reference Adaptive Control Based on Lyapunov Stability
Theory
Minan Tang
Lanzhou University of Tech.
Lanzhou Jiaotong Univ.
Jie Cao
Lanzhou University of Tech.
Xiaoxiao Yang
Lanzhou University of Tech.
Xiaoming Wang
Lanzhou University of Tech.
Baohui Gu
Lanzhou Jiaotong Univ.
SunB01
Process control (II)
Chair: Qiuxia Sun
Room11A
13:20-15:20
Shandong University of Science and
Tech.
North China Electric Power Univ.
CO-Chair: Yuyan Liu
13:20-13:40
SunB01-1
The Influence of Unknown Parameters in AR(2) Process to the
Control Chart’s Performance
Qiuxia Sun
Shandong University of Science and Tech.
Qisheng Gao
Qingdao Univ.
13:40-14:00
SunB01-2
The Structure and Parameters Optimization of ADRC for Steam
Generator Water Level
Yuyan Liu
North China Electric Power Univ.
Shiliang Zhou
North China Electric Power Univ.
Bing Song
Fujian Ningde Nuclear Power Company Limited
14:00-14:20
SunB01-3
Modified Internal Model Controller Design Based on OKID for
Multivariable System with Time Delays
Zhigang Zhou
Jiangnan Univ.
Linbo Xie
Jiangnan Univ.
14:20-14:40
SunB01-4
The principle and simulation research of a fast algorithm of
multivariable predictive control
Hao Pan
Chinese Academy of Scie.
University of Chinese Academy of Scie.
Yu Cao
Chinese Academy of Scie.
Tao Zou
Chinese Academy of Scie.
Haibin Yu
Chinese Academy of Scie.
Mingzhe Yuan
Chinese Academy of Scie.
14:40-15:00
Sectional Optimization of Oxygen Content in Flue
PSO
Liwen Yang
Shanghai
Jingcheng Wang
Shanghai
Yuanhao Shi
Shanghai
SunB01-5
Gas Based on
Jiao Tong Univ.
Jiao Tong Univ.
Jiao Tong Univ.
15:00-15:20
SunB01-6
Research on Calibration Method of Infrared Test Equipment
(Calibration Method of Infrared Radiometer and Infrared Thermal
Imager)
Wei Guan
Shenyang Aerospace Univ.
Ling Guo
Shenyang Aerospace Univ.
Li Fu
Shenyang Aerospace Univ.
SunB02
Sensor network systems (I)
Chair: Ying Zhang
CO-Chair: Weirong Liu
Room6A
13:20-15:20
Shanghai Maritime Univ.
Central South Univ.
Hunan Engineering Laboratory for Adanc
ed Control and Intelligent Automation Cha
ngsha
13:20-13:40
SunB02-1
Energy-Efficient Sensor Scheduling Scheme for Target Tracking in
Wireless Sensor Networks
Jianming Xiao
Central South Univ.
Hunan Engineering Laboratory for Advanced
Control and Intelligent Automation Changsha
Weirong Liu
Central South Univ.
Hunan Engineering Laboratory for Advanced
Control and Intelligent Automation Changsha
Yun He
Central South Univ.
Gaorong Qin
Central South Univ.
Hunan Engineering Laboratory for Advanced
Control and Intelligent Automation Changsha
Technical Programmes
13:40-14:00
SunB02-2
On Deployment Optimization Strategy for Hybrid Wireless Sensor
Networks
Ying Zhang
Shanghai Maritime Univ.
Wei Zhao
Shanghai Maritime Univ.
14:00-14:20
SunB02-3
An Efficient and Hybrid Key Management for Heterogeneous
Wireless Sensor Networks
Ying Zhang
Shanghai Maritime Univ.
Pengfei Ji
Shanghai Maritime Univ.
14:20-14:40
SunB02-4
Joint Sleep Scheduling and Opportunistic Transmission in Wireless
Body Area Networks
Hong Li
Shanghai Jiao Tong Univ.
Bo Yang
Shanghai Jiao Tong Univ.
Cyber Joint Innovation Center
Wenbin Yu
Shanghai Jiao Tong Univ.
Xinping Guan
Shanghai Jiao Tong Univ.
Cyber Joint Innovation Center
Xiaohui Gong
Shanghai Children’s Hospital
Guangjun Yu
Shanghai Children’s Hospital
14:40-15:00
SunB02-5
Ring-Based Security Energy-Efficient Routing Protocol for WSN
Mengyao Liu
Northeastern Univ.
Yanyan Zhang
Northeastern Univ.
Xia Li
Northeastern Univ.
15:00-15:20
SunB02-6
Sensor Scheduling Based on Predicion
Dongmei Yan
Northeastern Univ. at Qinhuangdao
SunB03
Identification and estimation (I)
Chair: Wenzhong Gao
CO-Chair: Linru You
13:20-13:40
GNSS Coverage Performance for
Satellites
Xiaofang Zhao
Institute of
Haihong Wang
Institute of
Xiangjun Wu
Institute of
Jie Wang
Institute of
Zhonggui Chen
Institute of
Room7A
13:20-15:20
Univ. of Denver
South China Univ. of Tech.
SunB03-1
Medium-High Earth Orbital
Spacecraft
Spacecraft
Spacecraft
Spacecraft
Spacecraft
System
System
System
System
System
Engineering
Engineering
Engineering
Engineering
Engineering
13:40-14:00
SunB03-2
Multi-Objective Robust H ∞ Observer Design for One-Sided
Lipschitz Nonlinear Uncertain Systems
Muhammad Abid
Pakistan Institute of Engineering and Applied
Scie.
Muhammad Shoaib
Pakistan Institute of Engineering and Applied
Scie.
Abdul Qayyum Khan Pakistan Institute of Engineering and Applied
Scie.
14:00-14:20
SunB03-3
Integrated Modeling for Gas Mixing Process Based on Mechanism
and Subspace Identification
Yuan Cao
Central South Univ.
Institute of Advanced Control and Intelligent
Automation
Weihua Cao
Central South Univ.
Institute of Advanced Control and Intelligent
Automation
Yan Yuan
Central South Univ.
Institute of Advanced Control and Intelligent
Automation
Min Wu
Central South Univ.
Institute of Advanced Control and Intelligent
Automation
Yongyue Zhang
Central South Univ.
Institute of Advanced Control and Intelligent
Automation
14:20-14:40
SunB03-4
Dynamic Model and Parameters Identification of Piezoelectric Stack
Actuators
Peidong Li
Chongqing Univ.
Jie Fu
Chongqing Univ.
Yuan Wang
Chongqing Univ.
Zhiwei Xing
Chongqing Univ.
42
Miao Yu
2014CCDC
Chongqing Univ.
14:40-15:00
SunB03-5
Stochastic Gradient Algorithm for State Space System with d-step
Delay
Ya Gu
Jiangnan Univ.
Rui Ding
Jiangnan Univ.
15:00-15:20
SunB03-6
Motion Simulation and Analysis during Initial Rotor Position
Identification for PMSM Based on High Frequency Voltage Injection
Zhaobin Huang
South China Univ. of Tech.
Linru You
South China Univ. of Tech.
Zhaodong Wang
South China Univ. of Tech.
SunB04
Discrete event systems
Chair: Chao Lu
CO-Chair: Liang Feng
Room7B
13:20-15:20
Northeastern Univ.
Nankai Univ.
13:20-13:40
SunB04-1
Hybrid Model of Multi-agent and DEDS for Steelmaking-Continuous
Casting-Hot Rolling Manufacturing Process Simulation
Duan Xu
Shanghai Baosight Software Limited Company
Chao Lu
Northeastern Univ.
Wei Zhou
Shanghai Baosight Software Limited Company
Shixin Liu
Northeastern Univ.
13:40-14:00
SunB04-2
Autonomy and Coordination Mechanism in Virtual Production
Systems
Liang Feng
Nankai Univ.
14:00-14:20
SunB04-3
Consensus of double-integrator discrete-time multi-agent system
based on second-order neighbors’ information
Huan Pan
Ningxia Univ.
Wenjuan Qiao
Ningxia Univ.
14:20-14:40
SunB04-4
Partial Stability of Probabilistic Boolean network
Zhiqiang Li
Henan Univ. of Economics and Law
Jinli Song
Henan Univ. of Economics and Law
Jian Yang
Henan Vocational and Technical Coll. of
Communications
14:40-15:00
SunB04-5
Asymptotic Behavior of Sampling Zero Dynamics for a 3-DOF
Tandem-Rotor Model Helicopter
Shan Liang
Chongqing Univ.
Cheng Zeng
Chongqing Univ.
Guiyang univ.
Jiaqi Zhong
Chongqing Univ.
Yongsheng Sun
Chongqing Univ.
15:00-15:20
SunB04-6
Using p-invariants to transform inadmissible constraints into
admissible constraints
S.M. Saeed Damadi
Amirkabir University of Technology
Ali Doustmohammdi
Amirkabir University of Technology
Ahmad Afshar
Amirkabir University of Technology
SunB05
Networked control systems (I)
Chair: Nan Xiao
CO-Chair: Zhou Gu
Room8A
13:20-15:20
East China Univ. of Scie. and Tech.
Nanjing Forestry Univ.
13:20-13:40
SunB05-1
Stabilization of LTI Systems over Finite-State Fading Channels
Nan Xiao
East China Univ. of Scie. and Tech.
Yugang Niu
East China Univ. of Scie. and Tech.
Lihua Xie
Nanyang Tech. Univ
13:40-14:00
SunB05-2
Gain-scheduled H ∞ control for networked superheated steam
temperature
Baochun Zhuang
Nanjing Forestry Univ.
Guangtao Shi
Nanjing Forestry Univ.
Zhou Gu
Nanjing Forestry Univ.
14:00-14:20
SunB05-3
H∞ Control for Multi-rate Networked Control Systems with both
Time-delay and Packet-dropout
Technical Programmes
Qixin Zhu
Suzhou Univ. of Scie. and Tech.
East China Jiaotong Univ.
East China Jiaotong Univ.
Jingdezhen Ceramic Inst.
Binbin Xie
Yonghong Zhu
14:20-14:40
SunB05-4
Quantized Control for Networked Control Systems with
Communication Delay and Packet Dropouts
Chong Jiang
Shenyang Sports Univ.
14:40-15:00
SunB05-5
Fuzzy-Model-Based Robust Stability of Nonlinear Networked
Control Systems with Input Missing
Xiangyang Jia
Guangdong Univ. of Tech.
Bin Tang
Guangdong Univ. of Tech.
Defeng He
Guangdong Univ. of Tech.
Shiguo Peng
Guangdong Univ. of Tech.
15:00-15:20
SunB05-6
Adaptive Fuzzy Coordinated Tracking Control of Networked
Unknown Lagrange Systems
Gang Chen
Chongqing Univ.
E’ning Feng
Chongqing Univ.
Qing Lin
Chongqing Univ.
Rui Ling
Chongqing Univ.
SunB06
Signal processing (I)
Chair: Wei Xie
CO-Chair: Hongjian Zhang
Room8B
13:20-15:20
South China Univ. of Tech.
Air Force Military Representative Office
in Shanghai Area.
13:20-13:40
SunB06-1
Overview on Image Super Resolution Reconstruction
Ziwei Lu
Northeastern Univ.
And Liaoning Shihua Univ.
Chengdong Wu
Northeastern Univ.
Dongyue Chen
Northeastern Univ.
Yuanchen Qi
Northeastern Univ.
Chunping Wei
Shengli Oil Field Research of New District in
West China
13:40-14:00
SunB06-2
A Robust Object Tracking Method Based on Sparse Representation
Yuanchen Qi
Northeastern Univ.
Chengdong Wu
Northeastern Univ.
Dongyue Chen
Northeastern Univ.
Ziwei Lu
Northeastern Univ.
14:00-14:20
SunB06-3
Adaptive Fractional Differential Algorithm Based on Otsu Standard
Bo Li
South China Univ. of Tech.
Wei Xie
South China Univ. of Tech.
14:20-14:40
SunB06-4
Multisensor Multitarget Tracking Based on a Matrix Reformulation
of the GM-PHD Filter
Hongjian Zhang
Air Force Military Representative Office in Sh
anghai Area.
Yuewu Zhang
Air Force Military Representative Office in Sh
anghai Area.
Bei Ye
Air Force Military Representative Office in Sh
anghai Area.
Jin Wang
Air Force Military Representative Office in Sh
anghai Area.
14:40-15:00
Image Feature Detection
Monogenic Filters
Lijuan Wang
Changsheng Zhang
Ziyu Liu
Bin Sun
Haiyong Tian
Based
on
Phase
Kunming
Kunming
Kunming
Kunming
SunB06-5
Congruency by
Univ. of
Univ. of
Univ. of
Univ. of
Shu
Scie. and Tech.
Scie. and Tech.
Scie. and Tech.
Scie. and Tech.
Ye Tech. Co.Ltd
15:00-15:20
SunB06-6
State-machine-based filtering method for vehicle speed detection
Jian-qun Wang
Beijing Institute of Tech.
Qing-yang Wu
Beijing Institute of Tech.
Ning Cao
Beijing Institute of Tech.
SunB07
Control applications (II)
Chair: Yan Ji
Room9A
13:20-15:20
Jilin Univ.
43
CO-Chair: Xin Wang
2014CCDC
Hunan University of Technology
13:20-13:40
SunB07-1
Integrated Control of Active Front Steering and Direct Yaw Moment
Based on Model Predictive Control
Yan Ji
Jilin Univ.
Hongyan Guo
Jilin Univ.
Hong Chen
Jilin Univ.
13:40-14:00
SunB07-2
Nonlinear Fuzzy Supervisory Predictive Control Based on Genetic
Algorithm
Suzhen Li
North China Electric Power Univ.
Xiangjie Liu
North China Electric Power Univ.
Gang Yuan
ZhongXing Hydraulic Parts Co.Ltd.
14:00-14:20
SunB07-3
Stability and bifurcation analysis of a Lotka-Volterra time delayed
system
Sreelakshmi Manjunath
Indian Institute of Tech.Madras
Gaurav Raina
Indian Institute of Tech.Madras
14:20-14:40
SunB07-4
Vector Control of Three-phase Voltage Source PWM Rectifier Based
on Fractional-order Controller
Chaojun Wu
Xi’an Jiaotong Univ.
Yanbin Zhang
Xi’an Jiaotong Univ.
14:40-15:00
SunB07-5
Nonlinear Model Predictive Control based on T-S Fuzzy model for a
PWR Nuclear Power Plant
Mengyue Wang
North China Electric Power Univ.
X.J.Liu
North China Electric Power Univ.
15:00-15:20
SunB07-6
Stability and Hopf bifurcation analysis of the Mackey-Glass and
Lasota equations
Sreelakshmi Manjunath
Indian Institue of Tech. Madras
Gaurav Raina
Indian Institue of Tech. Madras
SunB08
Intelligent automation
Chair: Xiang Lu
CO-Chair: Rui Xu
Room9B
13:20-15:20
Civil Aviation Univ. of China
Beijing Institute of Tech.
13:20-13:40
SunB08-1
Extraction and Evaluation Model for the Basic Characteristics of
MIDI File Music
Wei Zhao
Univ. of Scie. And Tech. Beijing
Beijing Modern Vocational and Tech. Coll.
Xiaoli Li
Univ. of Scie. And Tech. Beijing
Yang Li
Communication Univ. of China
13:40-14:00
SunB08-2
Attitude Navigationfor Deep Space Explorer based on Mission
Planning
Fanyu Zhao
Beijing Institute of Tech.
Pingyuan Cui
Beijing Institute of Tech.
Rui Xu
Beijing Institute of Tech.
Zhaoyu Li
Beijing Institute of Tech.
14:00-14:20
SunB08-3
Research on HVPL for Visual Detection of Bicolor Water Level
Gauge
Bin Sun
Kunming Univ. of Scie. and Tech.
Changsheng Zhang
Kunming Univ. of Scie. and Tech.
Ziyu Liu
Kunming Univ. of Scie. and Tech.
Haiyong Tian
Shu Ye Tech. Co. Ltd
Hanping Zhang
Kunming Univ. of Scie. and Tech.
14:20-14:40
SunB08-4
The Application in Detection of Defects in Compound Material with
Ultrasonic Phased Array Technology
Yunlin Luo
Civil Aviation Univ. of China
Xiang Lu
Civil Aviation Univ. of China
Kun Wang
Civil Aviation Univ. of China
Li Wang
Civil Aviation Univ. of China
14:40-15:00
SunB08-5
Infrared Image Registration of Damage in the Aircraft Skin Based on
Lie Group Machine Learning
Yunlin Luo
Civil Aviation Univ. of China
Technical Programmes
Zhanxiao Yan
Kun Wang
Li Wang
Civil Aviation Univ. of China
Civil Aviation Univ. of China
Civil Aviation Univ. of China
15:00-15:20
SunB08-6
A Study of Intelligent Vehicle Motion Control System Based on
Multi-sensor Information Fusion
Yanting Lan
North Univ. of China
Jinying Huang
North Univ. of China
SunB09
Robot control (II)
Chair: Zhiwei Liang
CO-Chair: Fangzheng Xue
Room10A
13:20-15:20
Nanjing Univ.of Posts and
Telecommunications
Chongqing Univ.
13:20-13:40
SunB09-1
Quasi-harmonic Approach to Non-holonomic Robot Motion Control
with Concave Obstacles Avoidance
D. Necsulescu
Univ. of Ottawa
G. Nie
Univ. of Ottawa
13:40-14:00
Omnidirectional Walk of Biped Robots in
Environment
Ping Shen
Nanjing Univ. of Posts
Zhiwei Liang
Nanjing Univ. of Posts
Xuejun Li
Nanjing Univ. of Posts
SunB09-2
RoboCup3D Simulation
and Telecommunications
and Telecommunications
and Telecommunications
14:00-14:20
SunB09-3
A partitioning-based task allocation strategy for Police Multi-Agents
Zhiwei Liang
Nanjing Univ. of Posts and Telecommunications
Xiang Yang
Nanjing Univ. of Posts and Telecommunications
Yao Deng
Nanjing Univ. of Posts and Telecommunications
14:20-14:40
SunB09-4
Alignment Condition-Based Adaptive Iterative Learning Control for
Robot Manipulators
Qiang Chen
Chongqing Univ.
Fangzheng Xue
Chongqing Univ.
14:40-15:00
SunB09-5
Position Deviation Based Second-Order Consensus in Multiple
Vehicle Systems
Jie Quan
Nanjing Univ.of Posts and Telecommunications
Guoping Jiang
Nanjing Univ.of Posts and Telecommunications
15:00-15:20
SunB09-6
Robot Manipulator Control Based on the Inner-learning Mechanism
Jian Xiang
Chongqing Univ.
Fangzheng Xue
Chongqing Univ.
SunB10
Smart grids (I)
Chair: Zaiyue Yang
CO-Chair:Wenjie Tang
Room10B
13:20-15:20
Zhejiang Univ.
Southeast Univ.
13:20-13:40
SunB10-1
Optimal Scheduling of Electric Vehicle using Dual Decomposition
Jinfeng Yang
Zhejiang Univ.
Zaiyue Yang
Guilin Univ. of Electronic Tech.
13:40-14:00
SunB10-2
Research on Fault Location Algorithm for Double Transmission Line
on the Same Tower Based On the Conductor's Relation of
Electromagnetic Coupling
Kunyi Chen
Hubei Univ. for Nationality
Qin Ai
Hubei Univ. for Nationality
Shaowu Li
Hubei Univ. for Nationality
Dongshan Geng
Hubei Univ. for Nationality
Yongchao Yang
Hubei Univ. for Nationality
14:00-14:20
SunB10-3
Research of Immune Algorithms for Reconfiguration of Distribution
Network with Distributed Generations
Cailian Gu
Shenyang Institute of Engineering
Shenyang Agriculture Univ.
Jianwei Ji
Shenyang Agriculture Univ.
Li Liu
Shenyang Institute of Engineering
14:20-14:40
SunB10-4
Research on intellectualization of 126kV SF6 circuit breaker
Huan Wang
Ping Gao Group CO.LTD
44
Taomei Lv
Jiangping Tao
2014CCDC
Henan Quality Polytechnic
Ping Gao Group CO.LTD
14:40-15:00
SunB10-5
Study of the Location of TCSC for Improving ATC Considering N-1
Security Constraints
Wenjie Tang
Southeast Univ.
Wenjing Pan
Southeast Univ.
Kaifeng Zhang
Southeast Univ.
Cheng Liu
Southeast Univ.
15:00-15:20
SunB10-6
A new strategy of reactive power compensation device of indirect
current control
Xu Wang
Northeastern Univ.
Hongliang Yu
Northeastern Univ.
Yan Xing
Northeastern Univ.
Dan Yang
Northeastern Univ.
SunB11
Room11B
Intelligent Building Control and Management (II)
13:20-15:20
Chair: Yahui Wang
Beijing University of Civil Engineering and
Architecture
CO-Chair:
13:20-13:40
SunB11-1
Research of Power System Steady-state Model with Distributed
Photovoltaic Based on Digsilent
Cailian Gu
Shenyang Institute of Engineering
Jianwei JI
Shenyang agriculture university
Li Liu
Shenyang Institute of Engineering
13:40-14:00
SunB11-2
A Multi-flooding data transmission Mechanism for low-duty-cycle
Wireless Sensor Network
Le Tian
Univ. of Civil Engineering and Architecture
14:00-14:20
SunB11-3
Study on Emergency Management Simulation Command System for
Gas System Based on Cybernetics
Ya-hui Wang
Beijing Univ. of Civil Engineering and Architecture
Gao Shunli
Beijing Gas Group Co.LTD.
Wu Bo
Beijing Gas Group Co.LTD.
Li Xiaxi
Beijing Gas Group Co.LTD.
Sun Jianmin
Beijing Gas Group Co.LTD.
Wang Jianling
Beijing Univ. of Civil Engineering and Architecture
14:20-14:40
SunB11-4
Based on Agent Technology of Gas Pipeline Leakage Urgent
Repairing Simulation Exercises and Practical Countermeasure
Analysis
Qian Yan
Institute of Electrical and Information Engineering
Ya-hui Wang
Institute of Electrical and Information Engineering
14:40-15:00
SunB11-5
Using Multiple Views for Gait-based Gender Classification
De zhang
Beijing Univ. of Civil Engineering and Architecture
Ya-hui Wang
Beijing Univ. of Civil Engineering and Architecture
15:00-15:20
SunB11-6
Optimization of Least-squares Localization Algorithm in WSN
Zhang Yu-ting
Beijing Univ. of Civil Engineering and Architecture
Tan Zhi
Beijing Univ. of Civil Engineering and Architecture
SunBIS
Interactive Session
The lobby of the 4th floor
13:20-15:20
SunBIS-1
Optimal Patient Routing Policies at Diagnosis-stage in Outpatient
Department Non-preemptive Queues
Huabo Zhu
Northeastern Univ.
Dan Chen
Northeastern Univ.
Liaoning Institute of Scie. and Tech.
Jun Gong
Northeastern Univ.
Jiafu Tang
Northeastern Univ.
SunBIS-2
The Research and Application on the Optimal Location Model of
Project
Jie Zhang
Northeast Dianli Univ. Coll. of Scie.
Chengxiang Hu
Northeast Dianli Univ. Coll. of Scie.
SunBIS-3
Technical Programmes
Analysis on the Optimum Selection of Science and Technology
Industrialization Projects Based on AHP- Fuzzy Comprehensive
Evaluation
Lihua Jiang
People's Liberation Army Naval Engineering Univ.
Kongguo Zhu
Shandong Youth Univ. of Political Scie.
SunBIS-4
Variable Probability based Bidirectional RRT Algorithm for UAV
Path Planning
Xinggang Wu
Shenyang Aerospace Univ.
Cong Guo
Shenyang Aerospace Univ.
Yibo Li
Shenyang Aerospace Univ.
SunBIS-5
Comprehensive Evaluation of Regional Development Level of
Resources inequalities
Jiameng Guo
Beijing Univ. of Posts and Telecommunications
Mingyue Qu
Dalian Univ. of Tech.
Kewu Peng
Liaoning Institute of Scie. and Tech.
SunBIS-6
Dynamic Comprehensive Evaluation Method with the Feature of
Reward and Punishment
Yi Zhang
Beijing Univ. of Posts and Telecommunications
Jiameng Guo
Beijing Univ. of Posts and Telecommunications
Lei Yi
Univ. of International Business and Economics
Kewu Peng
Liaoning Institute of Scie. and Tech.
SunBIS-7
Track Initiation Algorithm for Maneuvering Target Using Radial
Velocity Measurements
Junquan Yuan
Air force Early-warning Academy
Shuai Yin
Air force Early-warning Academy
Jin Jiang
Air force Early-warning Academy
Licai Wang
Air force Early-warning Academy
SunBIS-8
A Consensus Model for Conflict Problems in Distributed Command
and Control Decision Making
Haiyan Huang
PLA Univ. of Scie. and Tech.
Jing Shi
The 61th Research Institute
Guangyu Bao
PLA Univ. of Scie. and Tech.
Xiaoming Liu
PLA Univ. of Scie. and Tech.
SunBIS-9
Spare Parts Varieties Level Configuration Based
Decision
Xi Ren
Naval Aeronautical and
Jianjun Zhao
Naval Aeronautical and
Libin Yang
Naval Aeronautical and
on Grey Situation
Astronautical Univ.
Astronautical Univ.
Astronautical Univ.
SunBIS-10
Cloud Services Optimization Problem on Energy Utility Resource
Allocation
Minghai Jiao
Northeastern Univ.
Ping Yan
Shenyang Aerospace Univ.
Chen Li
Northeastern Univ.
Qiang Wang
Northeastern Univ.
Yanjing Wei
Northeastern Univ.
SunBIS-11
Improving Churn Prediction in Telecommunications using
Complementary Fusion of Multilayer Features based on
Factorization and Construction
Qiuhua Shen
Central South Univ.
Hong Li
Central South Univ.
Qin Liao
Central South Univ.
Wei Zhang
Hunan Univ.
KONE KALILOU
Central South Univ.
SunBIS-12
Optimal Hierarchical Allocation in Deregulated Electricity Market
under PSP Auction Mechanism
Zhongjing Ma
Beijing Institute of Tech.
Yingying Cui
Beijing Institute of Tech.
SunBIS-13
Research on the Task Process Reliability Modeling of SOS
Tianjian Wen
Beijing University of Aeronautics and Astronautics
Xin Pan
Beijing University of Aeronautics and Astronautics
SunBIS-14
45
2014CCDC
Technology Research & Development Decision Based on Relative
Advancement Degree of Difficulty in Large Project
Wenbing Chang
Beihang Univ.
Wei Liu
Beihang Univ.
Shenghan Zhou
Beihang Univ.
Shaoqi Zhou
Beihang Univ.
SunBIS-15
The method of risk evaluation for equipment development based on
triangular fuzzy number and TOPSIS
Shaoqi Zhou
Beijing Univ. of Aeronautics and Astronautics
Wenbing Chang
Beijing Univ. of Aeronautics and Astronautics
Shenghan Zhou
Beijing Univ. of Aeronautics and Astronautics
Wei Liu
Beijing Univ. of Aeronautics and Astronautics
SunBIS-16
Emergency Capability Evaluation for the Ship at Sea Based on FSPA
Algorithm
Yang Ou
Dalian Maritime Univ.
Zhengjiang Liu
Dalian Maritime Univ.
Liang Cao
Dalian Maritime Univ.
SunBIS-17
Optimal H∞ fusion controller design for a class of discrete-time
systems with missing measurements
Xiuying Li
Heilongjiang Univ.
Shuli Sun
Heilongjiang Univ.
SunBIS-18
Design of Embedded Network Controller Based on ARM
Lingyan Xue
Liaocheng Univ.
Liping Zheng
Liaocheng Univ.
Rui Liu
Liaocheng Univ.
SunBIS-19
Research of an adaptive PI admission control of Web service
Zijie Zhu
The 28 Research Institution of China Electronics
Technology Group Corporation
Xiang Gao
The 28 Research Institution of China Electronics
Technology Group Corporation
Chunhui Zhang
The 28 Research Institution of China Electronics
Technology Group Corporation
SunBIS-20
Output Quantized Feedback with Bounded System Noise
Yuqiang Long
Univ. of Scie. and Tech.
Qiang Ling
Univ. of Scie. and Tech.
Zhe Yan
Univ. of Scie. and Tech.
Feng Li
Univ. of Scie. and Tech.
Song Wang
Univ. of Scie. and Tech.
of
of
of
of
of
China
China
China
China
China
SunBIS-21
MODBUS-based Data Share of Multi-touch Screen and Its
Application In Coals Blending Automatic Shooting Control System
of Jiexiu Coal Washing Factory
Guojun Zhang
Taiyuan Univ. of Tech.
Zehua Chen
Taiyuan Univ. of Tech.
SunBIS-22
Development of Simulation-based Software Design Solution
Konstantin Aksyonov
Ural Federal Univ.
Eugene Bykov
Ural Federal Univ.
Olga Aksyonova
Ural Federal Univ.
SunBIS-23
The Research on transmission Delay Compensating based on
Internet
Guangquan Fu
Linyi Univ.
SunBIS-24
An improved congestion avoidance control model for TCP Vegas
based on Ad Hoc networks
Ying Luo
Southwest Univ. of Scie. and Tech.
Minyong Yin
Institute of Computer Application, Academy of
Engineering Physics
Hong Jiang
Southwest Univ. of Scie. and Tech.
Shaoliang Ma
Institute of Computer Application, Academy of
Engineering Physics
SunBIS-25
Finite-Time Stabilizabled Controller Design for a Class of Neutral
Time-Delayed Systems via State Feedback
Technical Programmes
Xia Chen
Jun Song
Shuping He
Anhui Univ.
Anhui Univ.
Anhui Univ.
SunBIS-26
Modeling Research on Ground-Coupled Heat Pump System Based
on Artificial Neural Network
Yating Zhang
Beijing Univ. of Tech.
Weichang Jiang
Beijing Univ. of Tech.
Ruihua Wang
Beijing Univ. of Tech.
SunBIS-27
The Ship Motion Prediction Approach Based on BP Neural Network
to Identify Volterra Series Kernels
Xiuyan Peng
Harbin Engineering Univ.
Zhiguo Men
Harbin Engineering Univ.
Xingmei Wang
Harbin Engineering Univ.
Shuli Jia
Harbin Engineering Univ.
Yan Sun
2014CCDC
Northeastern Univ. at Qinhuangdao
SunBIS-38
Design and application of high precision fuzzy controller
Yong He
Changsha Univ. of Sic. and Tech.
Jianyong Li
Changsha Univ. of Sic. and Tech.
Qi Kuang
Changsha Univ. of Sic. and Tech.
SunBIS-39
Temperature Modeling of PEM Fuel Cell Based on Fuzzy Strategy
Qun Yan
Univ. of Scie. and Tech. Beijing
Key Laboratory of Advanced Control of Iron and
Steel Process
Qing Li
Univ. of Scie. and Tech. Beijing
Peichang Zhang
Univ. of Scie. and Tech. Beijing
Datai Yu
Univ. of Scie. and Tech. Beijing
SunBIS-28
Output Feedback Adaptive Dynamic Surface Control for a Class of
Uncertain Nonlinear Systems
Jingyu Yang
Qufu Normal Univ.
Qiangde Wang
Qufu Normal Univ.
SunBIS-40
A Logistic-Interpolation-Based Fuzzy Controller for Electrode
Regulation of Submerged Arc Furnace
Shiliang Zhang
Xi'an Jiaotong Univ.
Hui Cao
Xi'an Jiaotong Univ.
Wanjun Lei
Xi'an Jiaotong Univ.
Yanbin Zhang
Xi'an Jiaotong Univ.
SunBIS-29
A Cerebellar Neuronal Network Model applying to DIVA Model
Yuanyuan Wu
Nanjing Univ. of Posts and Telecommunications
Shaobai Zhang
Nanjing Univ. of Posts and Telecommunications
SunBIS-41
Fuzzy Control
Finite-Time H ∞
Discrete-Time Nonlinear Systems
Dedong Yang
SunBIS-30
A Neural Network Based Model Predictive Control for Wind Tunnel
Ning Du
China Aerodynamics Research and Development
Center
XiuHong Long
China Aerodynamics Research and Development
Center
Li Zhao
China Aerodynamics Research and Development
Center
SunBIS-42
Extending UML for the Modeling of Fuzzy Self-Adaptive Software
Systems
Deshuai Han
PLA Univ. of Scie. and Tech.
Qiliang Yang
PLA Univ. of Scie. and Tech.
Nanjing Univ
Jianchun Xing
PLA Univ. of Scie. and Tech.
SunBIS-31
A Pruned Cooperative Co-Evolutionary Genetic Neural Network and
Its Application on Stock Market Forecast
Xingcheng Pu Chongqing University of Post & Telecommunications
Yanqin Lin
Chongqing University of Post & Telecommunications
Pengfei Sun
Chongqing University of Post & Telecommunications
SunBIS-32
The Design of Neural Network Controller of a Class of Nonlinear
Systems with Unknown Actuator Hard-Nonlinear
Hui Fang
Univ. of Jinan
Donghong Lu
Shandong Jinan Power Equipment Factory Co. Ltd
SunBIS-33
The High Precise Optimization Algorithm and Rational Construct
Study of Multi-Layered Feed-forward Neural Network
Xianglin Hou
Shenyang Jianzhu Univ.
Yali Liu
Shenyang Jianzhu Univ.
Qi Li
Shenyang Jianzhu Univ.
SunBIS-34
Research on Case-based Reasoning Search Method
Hongru Li
Northeastern Univ.
Chaoyue Zhao
Northeastern Univ.
Wei Wu
Northeastern Univ.
SunBIS-35
Analysis and Design of Fuzzy-PID Controller
Linear Membership Function
Weihua Huang
Wuhan Univ.
Zheng Zhang
Wuhan Univ.
Kangling Fang
Wuhan Univ.
with Generalized
of Scie. and Tech.
of Scie. and Tech.
of Scie. and Tech.
SunBIS-36
Observer Design of Discrete-Time T-S Fuzzy Systems via An
Efficient Multi-Instant Fuzzy Observer
Hongxia Zhang
Wuhan Business Univ.
Xiangpeng Xie
Huazhong Univ. of Scie. and Tech.
SunBIS-37
Research on Evaluation of City Public Emergency Capability Based
on The Fuzzy Set Theory
46
for
Continuous-Time
and
Hebei Univ.of Tech.
SunBIS-43
A Simple and Efficient Diagonal Maze-solver for Micromouse
Contests and intelligent mobile robot education
JuingHuei Su
Lunghwa University of Scie. and Tech.
HsinHsiung Huang
Lunghwa University of Scie. and Tech.
ChyiShyong Lee
Lunghwa University of Scie. and Tech.
SunBIS-44
Iterative Learning Control Algorithm for a Class of Singular Systems
with Multiple Time-delays
Ting Hu
South China Univ. of Tech.
Senping Tian
South China Univ. of Tech.
Yanbo Luo
South China Univ. of Tech.
SunBIS-45
The Teaching Experiment of Speech Recognition based on HMM
Mingjia An
Kunming Univ. of Scie. and Tech.
Zhengtao Yu
Kunming Univ. of Scie. and Tech.
Jianyi Guo
Kunming Univ. of Scie. and Tech.
Shengxiang Gao
Kunming Univ. of Scie. and Tech.
Yantuan Xian
Kunming Univ. of Scie. and Tech.
SunBIS-46
Implementation of the Line Maze Robot with Diagonal Motion
Control
HsinHsiung Huang
Lunghwa Univ. of Scie. and Tech.
JuingHuei Su
Lunghwa Univ. of Scie. and Tech.
ChyiShyong Lee
Lunghwa Univ. of Scie. and Tech.
JhengYan Syu
Lunghwa Univ. of Scie. and Tech.
Shih-Wei Chao
Lunghwa Univ. of Scie. and Tech.
YiWei Chang
Lunghwa Univ. of Scie. and Tech.
SunBIS-47
Flux Observer of Induction Motor Based on “Assumed Inherent
Sensor” Inversion
Guohai Liu
Jiangsu Univ.
Manlu Wang
Jiangsu Univ.
Yuhan Ding
Jiangsu Univ.
Congli Mei
Jiangsu Univ.
Hui Jiang
Jiangsu Univ.
Jinxiang Cheng
Jiangsu Univ.
SunBIS-48
Technical Programmes
A Noble Cross-Layer Protocol for QoS Optimization in Wireless
Sensor Networks
Peng Ji
Northeastern Univ.
Jingqi Jiang
Northeastern Univ.
Qiushuo Sun
Northeastern Univ.
Songyang Zhang
Northeastern Univ.
SunC01
Variable structure control
Chair: Liang Wu
CO-Chair: Bin Zhou
Room11A
15:40-17:40
Beihang Univ.
National University of Defense Tech.
15:40-16:00
SunC01-1
A Nonlinear Adaptive Control Approach for an Activated Sludge
Process Using Neural Networks
Meijin Lin
South China University of Tech.
Foshan Univ.
Fei Luo
South China University of Tech.
16:00-16:20
SunC01-2
Sliding mode attitude controller design of a small-scale helicopter
Bin Zhou
National University of Defense Tech.
Shuai Tang
National University of Defense Tech.
Peng Li
National University of Defense Tech.
Zhiqiang Zheng
National University of Defense Tech.
16:20-16:40
SunC01-3
Sliding Mode Control of Pitch Angle for direct driven PM Wind
Turbine
Xin Wang
Hunan University of Tech.
Wanli Zhu
Hunan University of Tech.
Bin Qin
Hunan University of Tech.
Pengcheng Li
Hunan University of Tech.
16:40-17:00
SunC01-4
Stability Probability in Sliding Mode Control of Second Order
Markovian Jump Systems
Qing Zhu
Southeast Univ.
Xinghuo Yu
RMIT Univ.
Aiguo Song
Southeast Univ.
Shumin Fei
Southeast Univ.
Zhiqiang Cao
Chinese Academy of Scie.
Yuequan Yang
Yangzhou Univ.
17:00-17:20
SunC01-5
Guidance Law Accounting for Second-order Dynamics of Missile
Autopilot and Impact Angle Constraints
Liang Wu
Beihang Univ.
Weihong Wang
Beihang Univ.
Shaofeng Xiong
Beihang Univ.
17:20-17:40
SunC01-6
Research on chattering and limit cycle adjusting for output
feedback SMC based on frequency domain analysis
Yu Shen
Southwest Univ.
SunC02
Sensor network systems (II)
Chair: Wenchao Chen
CO-Chair: Li Duan
Room6A
15:40-17:40
Civil Aviation Univ. of China
Naval Univ.of Engineering
15:40-16:00
SunC02-1
The Design of Mission-oriented Management System for
Multi-sensors Network in Network-centric Warfare
Jiaqi Xu
Brigade of Graduated Students Naval Univ. of
Engineering
Li Duan
Naval Univ.of Engineering
QiYuan Li
Naval Univ.of Engineering
2014CCDC
Design of a Monitoring System of Airport Boarding Bridge Based on
ZigBee Wireless Network
Jihong Zhang
Civil Aviation Univ. of China
Wenchao Chen
Civil Aviation Univ. of China
17:00-17:20
SunC02-5
Trust-based QoS Routing Algorithm for Wireless Sensor Networks
Junwei Wang
Northeastern Univ. at Qinhuangdao
Haifeng Wang
Northeastern Univ. at Qinhuangdao
17:20-17:40
SunC02-6
Posture Recognition for the Elderly Based on Wireless Sensor
Networks
Ye Shang
Northeastern Univ.
Zhigang Liu
Northeastern Univ.
Jinkuan Wang
Northeastern Univ.
SunC03
Identification and estimation (II)
Chair: Zhizhong Mao
CO-Chair: Wenfeng Tan
Room7A
15:40-17:40
Northeastern Univ.
National Univ. of Defense Tech.
15:40-16:00
SunC03-1
Effect of Shock Absorbers’ Deformation on RLG’s Bias Temperature
Modeling
Wenfeng Tan
National Univ. of Defense Tech.
Chunsheng Hu
National Univ. of Defense Tech.
Xingshu Wang
National Univ. of Defense Tech.
16:00-16:20
SunC03-2
A Unified Observer for High Order Disturbances in Time Series
Expansion
Qing Liang
Univ. of Scie. and Tech. of China
Zhen Wang
Univ. of Scie. and Tech. of China
Jinwen Pan
Univ. of Scie. and Tech. of China
Yiheng Wei
Univ. of Scie. and Tech. of China
16:20-16:40
SunC03-3
An Identification Algorithm for Hammerstein-Wiener System with
Dead Zone Input Nonlinearity Using Gradient Method
HyokChan Hong
Northeastern Univ.
Zhizhong Mao
Northeastern Univ.
16:40-17:00
Adaptive Parameter
Performance
Juan Yang
Jing Na
Xing Wu
Yu Guo
Estimation
with
Guaranteed
Kunming
Kunming
Kunming
Kunming
Univ.
Univ.
Univ.
Univ.
of
of
of
of
SunC03-4
Prescribed
Scie.&
Scie.&
Scie.&
Scie.&
Tech.
Tech.
Tech.
Tech.
17:00-17:20
SunC03-5
The Research of Underwater Image De-noising Method Based on
Adaptive Wavelet Transform
Fei Lei
Beijing Univ. of Tech.
Yingying Wang
Beijing Univ. of Tech.
17:20-17:40
SunC03-6
KPCA-ARX Time-space Modeling for Distributed Parameter System
Jingjing Yang
Zhejiang Univ.
Jili Tao
Zhejiang Univ.
SunC04
Room7B
Decision supporting system and production planning and
scheduling (I)
15:40-17:40
Chair: Dingwei Wang
Northeastern Univ.
CO-Chair: Wenyan Tang
Hunan Univ. of Technology
16:00-16:20
SunC02-2
Research on Non-Destructive Measuring Moisture Content for
Packaged Tea Based on the LC Resonant Sensor
Ning Rao
Hangzhou Polytechnique Coll.
Antai Han
Hangzhou Polytechnique Coll.
15:40-16:00
SunC04-1
Scheduling a Constrained Hybrid Flow Shop Problem by Heuristic
Algorithm
Yanhui Yu
Northeastern Univ. at Qinhuangdao.
Tieke Li
Univ. of Scie. and Tech. Beijing
16:20-16:40
SunC02-3
A kind of Routing Algorithm for Heterogeneous Wireless Sensor
Networks Based on Affinity Propagation
Ying Zhang
Shanghai Maritime Univ.
Changgang Ji
Shanghai Maritime Univ.
16:00-16:20
SunC04-2
Mixed Packing Strategy for Mass-Product Distributions and Its
Minimum Unpacking Problem
Dingwei Wang
Northeastern Univ.
16:40-17:00
SunC02-4
47
16:20-16:40
SunC04-3
A Surgery Block-Scheduling Strategy with Stochastic Demand
Yu Wang
State Key Lab of Synthetic Auto. of Process
Indu.,Northeastern Univ.
Technical Programmes
Jiafu Tang
State Key Lab of Synthetic Auto. of Process
Indu.,Northeastern Univ.
16:40-17:00
SunC04-4
A Job Shop Scheduling System Based on Parallel Control
Mechanism
Yanhong Wang
Shenyang Univ. of Tech.
Yehong Zhang
Shenyang Univ. of Tech.
Qan Zhang
Shenyang Univ. of Tech.
Hongxia Yu
Shenyang Univ. of Tech.
17:00-17:20
SunC04-5
Resource conflict resolution method for software projects using
fuzzy critical chain
Yan. Guo
Zhejiang Univ.
Chao. Dong
Ningbo Dahongying Univ.
17:20-17:40
SunC04-6
Research on China’s Food Industry Security early Warning Based
on Prospect Theory
Kangning Zheng
Beijing Jiaotong Univ.
Kai Yang
Army Aviation Univ.
SunC05
Networked control systems (lI)
Chair: Yuanqing Xia
CO-Chair: Bo Xiao
Room8A
15:40-17:40
Beijing Institute of Tech.
Wuhan Univ. of Scie. and Tech.
2014CCDC
A Hybrid Forecasting Approach for HRG Parameters Based on
Output Time Series
Ziyang QI
Harbin Institute of Tech.
Qinghua LI
Harbin Institute of Tech.
Guoxing YI
Harbin Institute of Tech.
Haibin Fang
China Electric Tech. Group Corporation
16:00-16:20
SunC06-2
Time Series Forecasting of Medicare Fund Expenditures Based on
Historical Data ----Taking Dalian as an Example
Gang Qu
Northeastern Univ.
Shengnan Cui
Northeastern Univ.
Jiafu Tang
Dongbei Univ. of Finance and Economics
16:20-16:40
SunC06-3
Feature Extraction by Correntropy Based Average Neighborhood
Margin Maximization
Lin-Na Ma
Hebei Univ.
Hong-Jie Xing
Hebei Univ.
Shun-Yan Hou
Hebei Univ.
16:40-17:00
SunC06-4
Wind Turbine Gearbox Forecast Using Gaussian Process Model
Xueru Wang
North China Electric Power Univ.
Jin Zhou
North China Electric Power Univ.
Peng Guo
North China Electric Power Univ.
15:40-16:00
SunC05-1
Stabilization of Networked Control Systems with Packet Loss and
Channel Uncertainty
Jianjun Dong
Beijing Institute of Tech.
Yuanqing Xia
Beijing Institute of Tech.
17:00-17:20
SunC06-5
Algorithm for Attribute Relative Reduction Based on Generalized
Binary iscernibility Matrix
Tengfei Zhang
Nanjing Univ. of Posts and Telecommunications
Xingxing Yang
Nanjing Univ. of Posts and Telecommunications
Fumin Ma
Nanjing Univ. of Finance and Economics
16:00-16:20
SunC05-2
Multivariable Optimal Performance under Packet Loss for
Networked Control Systems
Bo Xiao
Wuhan Univ. of Scie. and Tech.
Bin Liu
Wuhan Univ. of Scie. and Tech.
Mengmeng Wang
Wuhan Univ. of Scie. and Tech.
17:20-17:40
SunC06-6
Multilinear Mean Component Analysis for Gait Recognition
Yawei Tian
Shandong Univ.
Xianye Ben
Shandong Univ.
Peng Zhang
Shandong Univ.
Menglei Sun
Shandong Univ.
16:20-16:40
SunC05-3
Research on Cross-communication Based on Real-time Ethernet
POWERLINK
Haiya Xu
North Automatic Control Tech. Institute
Yan Gao
North Automatic Control Tech. Institute
Kemin Liu
North Automatic Control Tech. Institute
Bo Zhu
North Automatic Control Tech. Institute
Chao Zhang
North Automatic Control Tech. Institute
16:40-17:00
SunC05-4
Optimal Control of Linear Discrete-Time Systems with Quantization
Effects
Weizhou Su
South China Univ. of Tech.
Jie Chen
Hong Kong City Univ.
Minyue Fu
Newcastle Univ.
Tian Qi
South China Univ. of Tech.
17:00-17:20
SunC05-5
Local Hopf bifurcation analysis of Compound TCP with an
Exponential-RED queue management policy
Sai Prasad
Indian Institute of Tech. Madras
Gaurav Raina
Indian Institute of Tech. Madras
17:20-17:40
SunC05-6
Research on the Test of Maintenance Support Force System Based
on the Theory of Complex Network
Zhen Han
Ordnance Engineering Coll.
Yu Lu
Ordnance Engineering Coll.
Ping Gu
Ordnance Engineering Coll.
17:40-18:00
SunC05-7
Stability and Hopf bifurcation analysis of TCP with a RED-like queue
management policy
Sai Prasad
Indian Institute of Tech. Madras
Gaurav Raina
Indian Institute of Tech. Madras
SunC06
Data processing (I)
Chair: Ziyang QI
CO-Chair: Shengnan Cui
15:40-16:00
Room8B
15:40-17:40
Harbin Institute of Tech.
Northeastern Univ.
SunC06-1
48
SunC07
Control applications (III)
Chair: Lei Yuan
CO-Chair: Rongzi Yao
Room9A
15:40-17:40
Jilin Univ.
Jilin Univ.
15:40-16:00
SunC07-1
The Design of TCS Controller for Four Wheel Independent-Drive
Electric Vehicle Based on ADRC
Lei Yuan
Jilin Univ.
Hong Chen
Jilin Univ.
Natiaonal Automaobile Dynamic Simulation Lab.
Bingtao Ren
Jilin Univ.
16:00-16:20
SunC07-2
Torque Tracking Control of Permanent Magnet Synchronous
in-Wheel Motor for Electric Vehicle
Rongzi Yao
Jilin Univ.
Xiaohua Xie
Jilin Univ.
Natiaonal Automaobile Dynamic Simulation Lab.
Hong Chen
Jilin Univ.
Natiaonal Automaobile Dynamic Simulation Lab.
16:20-16:40
SunC07-3
A Kaldor-Kalecki model of business cycles: stability and limit cycles
Sreelakshmi
Indian Institute of Tech.Madras
Manjunath
Debayani Ghosh
Indian Institute of Tech.Madras
Gaurav Raina
Indian Institute of Tech.Madras
16:40-17:00
SunC07-4
Improved Virtual Flux Observer Based on Orthogonal Feedback
Compensation Suitable for Direct Power Control Application
Xiao Xiong
Univ.of Scie.and Tech.Beijing
Yongjun Zhang
Univ.of Scie.and Tech.Beijing
Wang Jing
Univ.of Scie.and Tech.Beijing
Yongkang Zhang
Univ.of Scie.and Tech.Beijing
Tiezhu Chen
Univ.of Scie.and Tech.Beijing
Xiaoqing Zhang
Univ.of Scie.and Tech.Beijing
17:00-17:20
SunC07-5
Sensorless Control of SPMSM using Complex Number Model based
Position Estimation and EKF
Technical Programmes
Longhu Quan
Zhanshan Wang
Xiuchong Liu
Northeastern Univ.
Northeastern Univ.
Northeastern Univ.
17:20-17:40
SunC07-6
Adaptive Filtering Design for In-Motion Alignment of INS
Tong Liu
Beijing Institue of Tech.
Qian Xu
Beijing Institue of Tech.
Yuejun Li
The North Huaan Industrial Group Co.Ltd.
SunC08
Room9B
Planning, scheduling and coordination (I)
15:40-17:40
Chair: Xingquan Zuo
Beijing Univ. of Posts and
Telecommunications
CO-Chair: Cheng Zhu
National Univ. of Defense Tech.
15:40-16:00
SunC08-1
A multi-objective genetic algorithm based bus vehicle scheduling
approach
Cheng Chen
Beijing Univ. of Posts and Telecommunications
Xingquan Zuo
Beijing Univ. of Posts and Telecommunications
16:00-16:20
SunC08-2
Hybrid Appointment for a Single-Physician Clinic with No-Shows
and Overbooking
Pingping Cao
Northeastern Univ.
Jiafu Tang
Dongbei Univ. of Finance and Economics
16:20-16:40
SunC08-3
Multi-vehicle Coordination and Flexible Scheduling based on
Simulated Annealing Algorithm
Cheng Zhu
National Univ. of Defense Tech.
Luohao Tang
National Univ. of Defense Tech.
Weiming Zhang
National Univ. of Defense Tech.
16:40-17:00
SunC08-4
Rolling Horizon Scheduling Procedure for SWRO Desalination Plant
under Uncertain Freshwater Demand
Jian Wang
Zhejiang Univ.
Hangzhou Dianzi Univ.
Lekai Lian
Hangzhou Dianzi Univ.
Xiaolong Wang
Hangzhou Dianzi Univ.
Jiangzhou Shu
Hangzhou Dianzi Univ.
Ping Li
Zhejiang Univ.
17:00-17:20
SunC08-5
Optimized Decision of the Bounded Rationality Newsboy under
CVaR
Yongmei Liu
Central South Univ.
Sixuan Chen
Central South Univ.
17:20-17:40
SunC08-6
Research on the problem of scheduling multi-product batches in
theprocess industry
Qi Tang
Shenyang Univ. of Tech.
Qingshan Zhang
Shenyang Univ. of Tech.
SunC09
Perception systems
Chair: Hongpeng Wang
CO-Chair: Qixin Zhu
Room10A
15:40-17:40
Nankai Univ.
Suzhou Univ. of Scie. and Techn.
East China Jiaotong Univ.
15:40-16:00
SunC09-1
A Multi-Gait Approach for Humanoid Navigation in Cluttered
Environments
G. Brooks
Polytechnic Institute of NYU
P. Krishnamurthy
Polytechnic Institute of NYU
F. Khorrami
Polytechnic Institute of NYU
16:00-16:20
SunC09-2
Speed Estimation for Robotic Fish Based on Pressure Sensor
Qixin Zhu
Suzhou Univ. of Scie. and Techn.
East China Jiaotong Univ.
Kun Zhong
East China Jiaotong Univ.
Guangming Xie
Peking Univ.
16:20-16:40
SunC09-3
Research on Intrinsic Motivation of Robot Based on Central
Nervous System
Tao Shi
Univ. of Scie. and Tech. Beijing
Hebei United Univ.
Weidong Yang
Univ. of Scie. and Tech. Beijing
49
Hongge Ren
2014CCDC
Hebei United Univ.
16:40-17:00
SunC09-4
A Visual Saliency Detection Algorithm Based on Channel Selecting
in Transform Domains
Yifeng Shen
National Univ. of Defense Tech.
Yifeng Niu
National Univ. of Defense Tech.
Lincheng Shen
National Univ. of Defense Tech.
17:00-17:20
SunC09-5
3D Irregular Object Recognition for Twist-lock Handling System
Shuang Ma
Jilin Univ.
Singapore Polytechnic
Changjiu Zhou
Singapore Polytechnic
Liandong Zhang
Singapore Polytechnic
Wei Hong
Jilin Univ.
Yantao Tian
Jilin Univ.
17:20-17:40
SunC09-6
Robust hand posture recognition based on RGBD images
Liang Dong
Nankai Univ.
Hongpeng Wang
Nankai Univ.
Ziyi Hao
Nankai Univ.
Jingtai Liu
Nankai Univ.
SunC10
Renewable energies (I)
Chair: Zhiyong Li
CO-Chair: De Zhang
Room10B
15:40-17:40
Central South Univ.
Tsinghua Univ.
15:40-16:00
SunC10-1
Lyapunov Stability Analysis for Self-Excitation of Induction
Generators
Haitao Li
Guangxi Univ.
Ziguang Lu
Guangxi Univ.
16:00-16:20
SunC10-2
Precise Sun-tracking Control of Heliostats Based on a Sun’s Image
Reference System
Xuemei Zhu
Nanjing Normal Univ.
Xiaoling Mi
Zhejiang Supcon Solar Tech. Co., Ltd.
Kaizhi Lin
Zhejiang Supcon Solar Tech. Co., Ltd.
Wenjun Huang
Zhejiang Univ.
16:20-16:40
SunC10-3
Power Oscillation Damping Controller Based on Active Disturbance
Rejection Control Technique for DFIG-Based Wind Turbine
Generators
De Zhang
Tsinghua Univ.
Shengwei Mei
Tsinghua Univ.
Feng Liu
Tsinghua Univ.
Jian Sun
State Grid Beijing Electric Power Research Institute
16:40-17:00
SunC10-4
A New MPPTControlMethod of Photovoltaic Grid-connected Inverter
System
Shengqing Li
Hunan Univ. of Tech.
Bin Zhang
Hunan Univ. of Tech.
Tianjun Xu
Hunan Univ. of Tech.
Jun Yang
Hunan Univ. of Tech.
17:00-17:20
SunC10-5
Short Term Photovoltaic Power Generation Forecasting Using RBF
Neural Network
Zhiyong Li
Central South Univ.
Yunlei Zhou
Central South Univ.
Cheng Cheng
Central South Univ.
Yao Li
Central South Univ.
KeXing Lai
Central South Univ.
17:20-17:40
SunC10-6
Suppressing Method for Photovoltaic Power Station DC Component
Injection
Shengqing Li
Hunan Univ. of Tech.
Jun Yang
Hunan Univ. of Tech.
Tianjun Xu
Hunan Univ. of Tech.
Bin Zhang
Hunan Univ. of Tech.
SunC11
Room11B
Intelligent Building Control and Management (III)
15:40-17:40
Chair: Yahui Wang
Beijing University of Civil Engineering and
Architecture
CO-Chair:
Technical Programmes
15:40-16:00
SunC11-1
A Novel Clustering Algorithm Based on Particle Swarm Optimization
for Wireless Sensor Networks
Zhao Jing
Beijing Univ. of Civil Engineering and Architecture
Tian Le
Beijing Univ. of Civil Engineering and Architecture
Zhao Shuaibing
Beijing Univ. of Civil Engineering and Architecture
Zuo-wei Pan
Hongwen An
Shuangyin Liang
Yibing Liu
2014CCDC
North China Electric Power Univ., and
Beijing Energy Investment Holding Co.
North China Electric Power Univ., and
Beijing Energy Investment Holding Co.
North China Electric Power Univ.
North China Electric Power Univ.
16:00-16:20
SunC11-2
A Two-stage Approach on Island Partitioning of Power Distribution
Networks with Distributed Generation
Ruliang Dong
Zhejiang University
Qiang Yang
Zhejiang University
Wenjun Yan
Zhejiang University
SunCIS-6
Application of Simulation-based Software Design Solution
Konstantin Aksyonov
Ural Federal
Eugene Bykov
Ural Federal
Olga Aksyonova
Ural Federal
Kai Wang
Ural Federal
16:20-16:40
SunC11-3
Research of Intelligent Coordinated Control in Indoor Environment
Based on MAS
Yifei Chen
College of Information & Electrical
Engineering of China Agricultural University
Kai Qi
College of Information & Electrical
Engineering of China Agricultural University
Baicheng Liu
College of Information & Electrical
Engineering of China Agricultural University
Ge Li
College of Information & Electrical
Engineering of China Agricultural University
Qiaoxue Dong
College of Information & Electrical
Engineering of China Agricultural University
SunCIS-7
A Robust Fault Estimation Scheme for Heavy-haul Trains Equipped
with ECP Brake Systems
Yufu Qin
Central South Univ., and Hunan Engineering
Laboratory for Advanced Control and
Intelligent Automation Changsha
Jun Peng
Central South Univ., and Hunan Engineering
Laboratory for Advanced Control and
Intelligent Automation Changsha
Xiaoyong Zhang
Central South Univ., and Hunan Engineering
Laboratory for Advanced Control and
Intelligent Automation Changsha
Yingze Yang
Central South Univ., and Hunan Engineering
Laboratory for Advanced Control and
Intelligent Automation Changsha
Fu Jiang
Central South Univ., and Hunan Engineering
Laboratory for Advanced Control and
Intelligent Automation Changsha
16:40-17:00
Multi-objective Optimal Analysis of
Management for Intelligent Buildings
Nan Wang
North China
Fang Fang
North China
Meifang Feng
North China
Comfort
and
SunC11-4
Energy
Electric Power University
Electric Power University
Electric Power University
17:00-17:20
SunC11-5
Research and Application of Intelligent Building Energy
Management System
Lin Jiaquan
Fujian Longyan Jinye Fluecured Tobacco CO.LTD
Zhang Renqiang
Nanjing Intelligent Apparatus CO.LTD
17:20-17:40
SunC11-6
Building Energy and Control System Modeling And Simulation
Using Modelica
Dong He
Chongqing University
Qingyu Xiong
Chongqing University
Weiren Shi
Chongqing University
Xin Shi
Chongqing University
Jiaqi Zhang
Chongqing University
SunCIS
Interactive Session
The lobby of the 4th floor
15:40-17:40
SunCIS-1
Multimode Process Monitoring Based on Correlative Principal
Components and Differential Geometry Feature Extraction
Funa Zhou
Henan Univ.
Yu Zhang
Henan Univ.
Shuna Yang
Henan Univ.
SunCIS-2
Conditions Identification Model Based on LLNFM and RBR in
Cement Raw Meal Calcination Process
Jinghui Qiao
Shenyang Univ.of Tech.
Tianyou Chai
Northeastern Univ.
SunCIS-3
Multi-level PCA and its Application in Fault Diagnosis
Chunxia Wang
Hangzhou Dianzi Univ.
Jing Hu
Zhejiang Univ.
Chenglin Wen
Hangzhou Dianzi Univ.
SunCIS-4
Software-hardware Interaction Analysis Based on Petri Net
Zhaoxiang Yi
Xi'an Research Institute of Hi-Tech Hongqing Town
Xiaodong Mu
Xi'an Research Institute of Hi-Tech Hongqing Town
Peng Zhao
Xi'an Research Institute of Hi-Tech Hongqing Town
Yaqiao Yi
Hunan Univ. of Chinese Medicine
SunCIS-5
Amplitude Envelope Analysis for Feature Extraction of Power Plant
Blower Bearing Failure
50
Univ.
Univ.
Univ.
Univ.
SunCIS-8
INU Fault Diagnosis Based on Genetic Wavelet Neural Network
Yunlin Luo
Aeronautical Automation Coll. of Civil Aviation
Univ. of China
Qingtian Dai
Aeronautical Automation Coll. of Civil Aviation
Univ. of China
Li Wang
Aeronautical Automation Coll. of Civil Aviation
Univ. of China
Kun Wang
Aeronautical Automation Coll. of Civil Aviation
Univ. of China
SunCIS-9
Actuator Fault Detection Based on Robust Adaptive Observer for
CCBII Braking System
Jiandui Yi
Central South Univ., and Hunan Engineering Lab
for Advanced Control and Intelligent Automation
Zhiwu Huang
Central South Univ., and Hunan Engineering Lab
for Advanced Control and Intelligent Automation
Weirong Liu
Central South Univ., and Hunan Engineering Lab
for Advanced Control and Intelligent Automation
Yingze Yang
Central South Univ., and Hunan Engineering Lab
for Advanced Control and Intelligent Automation
Xiaoyong Zhang Central South Univ., and Hunan Engineering Lab
for Advanced Control and Intelligent Automation
Jianfeng Liu
Central South Univ., and Hunan Engineering Lab
for Advanced Control and Intelligent Automation
SunCIS-10
Robust Adaptive H∞ Fault-Tolerant Control for Uncertain Linear
Systems against Actuator Failures
Libing Wu
Univ. of Science and Tech. Liaoning
Zhiguo Zhang
Polytechnic Institute of Guidaojiaotong
Daqing Zhang
Univ. of Science and Tech. Liaoning
Guizhi Li
Yingkou Institute of Tech.
SunCIS-11
Fault Diagnosis of Gas Turbine Based on Support Vector Machine
Weihong Hu
Shenyang Aerospace Univ.
Jiyuan Liu
Chinese Academy of Scie.
Jianguo Cui
Shenyang Aerospace Univ.
Yang Gao
Shenyang Aeroengine Research Institute
Bo Cui
Shenyang Aeroengine Research Institute
Liying Jiang
Shenyang Aerospace Univ.
SunCIS-12
Fault Tolerant Control for UAV with Finite-Time Convergence
Qiang Qu
Nanjing Univ. of Aeronautics and Astronautics
Shan Gao
Nanjing Univ. of Aeronautics and Astronautics
Daobo Huang
Nanjing Univ. of Aeronautics and Astronautics
Jinsong Mei
Nanjing Univ. of Aeronautics and Astronautics
Bin Zhai
The 27th Research Institute of China Electronics
Technology Group Corporation
Technical Programmes
SunCIS-13
Observer-based Fault Detection for Rail Vehicle
Systems
Yue Wang
Nanjing Univ. of Aeronautics and
Zehui Mao
Nanjing Univ. of Aeronautics and
Bin Jiang
Nanjing Univ. of Aeronautics and
Suspension
Astronautics
Astronautics
Astronautics
SunCIS-14
Multi-mode Data-based Joint Fault Detection Method
Jing Hu
Zhejiang Univ.
Chenglin Wen
Henan Univ. of Tech.
Ping Li
Zhejiang Univ.
SunCIS-15
μ-Analysis Control Adaptation for Online Stator and Rotor Fault
Diagnosis in Induction Machines
Chady Nohra
Beirut Arab Univ.
SunCIS-16
The Mixed Fault Detection Method for Rolling Bearings Based on
ICA-Teager
Jun Ma
Kunming Univ. of Science and Tech.
Jiande Wu
Kunming Univ. of Science and Tech., and
Engineering Research Center for Mineral
Pipeline Transportation of Yunan
Xiaodong Wang
Kunming Univ. of Science and Tech., and
Engineering Research Center for Mineral
Pipeline Transportation of Yunan
Yugang Fan
Kunming Univ. of Science and Tech., and
Engineering Research Center for Mineral
Pipeline Transportation of Yunan
SunCIS-17
H ∞ Deconvolution Filter Design for Time-delay Systems via
equivalent transformation
Fuqiang You
Northeastern Univ.
Hui Li
Northeastern Univ.
SunCIS-18
Robust Fault-Tolerant Cooperative Control of Multi-agent Systems
with Actuator Faults
Gang Chen
Chongqing Univ.
Yongduan Song
Chongqing Univ.
SunCIS-19
Fault Estimation for Time-Varying Control Systems with Aperiodic
Sample
Ning Li
Northeastern Univ.
Jian Feng
Northeastern Univ.
SunCIS-20
Design of Photovoltaic Building Lightning
Monitoring and Early Warning System
Fuyan Guo
Yue Wang
Minde Huang
Protection Equipment
Tianjin Chengjian Univ.
Tianjin Chengjian Univ.
Tianjin Chengjian Univ.
SunCIS-21
Research on Correlation between Science Popularization and
Technological Progress based on Panel Data
Rongrong Ren
Northeastern Univ. of China
Nian Zheng
China Research Institute for Scie. Popularization
Gang Xing
Northeastern Univ. of China
Meng Zhao
Northeastern Univ. of China
Yi Tang
Northeastern Univ. of China
SunCIS-22
Grey Regressive
Consumption
Baozheng Liu
Dingwei Wang
Prediction
Method
of
Urban
Life
Water
Liaocheng Univ. and Northeastern Univ.
Northeastern Univ. of China
SunCIS-23
A Study on China’s FDI in ASEAN
Tonggong Zhang
Qingdao Univ. of Scie. and Tech., and
Univ. of International Business and Economics
Lu Zhang
Qingdao Univ. of Scie. and Tech.
Hanchuan Lin
Univ. of International Business and Economics
SunCIS-24
An Empirical Study on the Relationship between Executive Rewards
and Merge and Acquisition of Chinese Listed Companies
51
Zhenming Gao
Xintian Zhuang
2014CCDC
Northeastern Univ.
Northeastern Univ.
SunCIS-25
A Study on the Investment Environment of India--Based on the
questionnaires from the related Chinese enterprises
Tonggong Zhang
Qingdao Univ. of Scie. and Tech., and
Univ. of International Business and Economics
Lu Zhang
Qingdao Univ. of Scie. and Tech.
Hanchuan Lin
Univ. of International Business and Economics
SunCIS-26
Optimization of Storage Performance for Generic Tiered Warehouse
by Genetic Algorithm
Shu’an Liu
Northeastern Univ.
Jiawei Sun
Northeastern Univ.
Qing Wang
Northeastern Univ.
SunCIS-27
A Method for Wide Density Salt and Pepper Noise Removal
Jihong Qiao
Beijing Tech. and Business Univ.
Lei Chen
Beijing Tech. and Business Univ.
Yan Chen
Beijing Tech. and Business Univ.
SunCIS-28
Optimal Site Selection for Soft Landing on Asteroid
Jiangeng LI
Beijing Univ. of Tech
Zhen Jia
Beijing Univ. of Tech
Xiaogang Ruan
Beijing Univ. of Tech
SunCIS-29
Modeling Research of MEMS Gyro Drift Based on Kalman Filter
Xiaogang Ruan
Beijing Univ. of Tech
Miaomiao Yu
Beijing Univ. of Tech
SunCIS-30
Motion Descriptor Based on Aligned Cluster Analysis
Qinkun Xiao
Xi’an Tech. Univ.
Zhonghua Zheng
Xi’an Tech. Univ.
SunCIS-31
Study on characteristic dimension and sparse factor in
Non-negative Matrix Factorization algorithm
Mo Hou
Jiangsu Normal Univ.
Maoyun Yang
Jiangsu Normal Univ.
Shuyun Qiao
Xuzhou Institute of Tech.
Gaige Wang
Jiangsu Normal Univ.
Liqun Gao
Northeastern Univ.
SunCIS-32
L 3/2 Sparsity Constrained Graph Non-negative Matrix Factorization
for Image Representation
Shiqiang Du
Northwest Univ. for Nationalities
Yuqing Shi
Northwest Univ. for Nationalities
Weilan Wang
Northwest Univ. for Nationalities
SunCIS-33
A Novel Blind Multi-Target Beam-Forming Algorithm in Guidance
Data Link System
Xufang Wei
Luoyang Optoelectr. Tech. Development Center
Cuisheng Wu
Luoyang Optoelectr. Tech. Development Center
Changhong Yao
Luoyang Optoelectr. Tech. Development Center
SunCIS-34
Mixed Noise Reduction Method Based on Fuzzy Morphological
Filtering
Youlian Zhu
Jiangsu Univ. of Tech.
Cheng Huang
Jiangsu Univ. of Tech.
Lifang Zhai
Jiangsu Univ. of Tech.
Lingjiao Pan
Jiangsu Univ. of Tech.
SunCIS-35
An effective color image fusion algorithm of visual and infrared
night images
Yajie Wang
Shenyang Aerospace Univ.
Xiangbin Shi
Shenyang Aerospace Univ.
Fei Li
Shenyang Aerospace Univ.
Yongsheng Ye
Shenyang Aerospace Univ.
SunCIS-36
Technical Programmes
Research of feature extraction algorithm based on steady-state
visual evoked potential
Liqing Geng
Tianjin Univ. of Tech. and Education
Pengju Cui
Tianjin Univ. of Tech. and Education
SunCIS-37
Estimate the densities of pollutions in water
systems based on UV/vis spectrum
Tianrong Rao
Univ. of Scie.
Qiang Ling
Univ. of Scie.
Binfeng Yu
Univ. of Scie.
Haibo Ji
Univ. of Scie.
quality monitoring
and
and
and
and
Tech.
Tech.
Tech.
Tech.
of
of
of
of
China
China
China
China
SunCIS-38
A regularized estimation method for MR inhomogeneity correction
Zhaohui Li
Univ. of Scie. and Tech. of China
Qiang Ling
Univ. of Scie. and Tech. of China
Kaikai Song
Univ. of Scie. and Tech. of China
Feng Li
Univ. of Scie. and Tech. of China
2014CCDC
Deep Boltzmann Machines based Vehicle Recognition
Aiqin Hu
Central South Univ.
Hong Li
Central South Univ.
Fan Zhang
Central South Univ.
Wei Zhang
Hunan Univ.
SunCIS-48
An Improved Harris Corner Detection Algorithm For Low Contrast
Image
Liang Sun
PLA Univ. of Scie. and Tech.
Shuangqing Wang
PLA Univ. of Scie. and Tech.
Jianchun Xing
PLA Univ. of Scie. and Tech.
Monday, 2 June, 2014
MonA01
Robust control (III)
Chair: Yuanyuan Zou
CO-Chair: Zhaoping Du
Room11A
8:00-10:00
East China Univ. of Science and Tech.
Jiangsu University of Science and
Tech.
SunCIS-39
An Improved MRI Denoising Algorithm based on Wavelet Shrinkage
Kaikai Song
Univ. of Scie. and Tech. of China
Qiang Ling
Univ. of Scie. and Tech. of China
Zhaohui Li
Univ. of Scie. and Tech. of China
Feng Li
Univ. of Scie. and Tech. of China
8:00-8:20
MonA01-1
An Analysis and Design Method for Actuator Saturation Linear
Systems with Disturbance
Dongyan Chen
Harbin University of Science and Tech.
Junming Wang
Harbin University of Science and Tech.
Xiaokang Zeng
Harbin University of Science and Tech.
Yujin Shi
Harbin University of Science and Tech.
SunCIS-40
A Multiple Autocorrelation Analysis Method for Motor Imagery EEG
Feature Extraction
Xiangzhou Wang
Beijing Institute of Tech.
An Wang
Beijing Institute of Tech.
Shuhua Zheng
Beijing Institute of Tech.
Yingzi Lin
Northeastern Univ.
Mingxin Yu
Beijing Institute of Tech.
8:20-8:40
MonA01-2
Different Robust Control Methods of a Combustion System
Qinghai Heng
Beijing Information Science and Technology Univ.
Jing Lu
Beijing Information Science and Technology Univ.
Huan Cao
Beijing Information Science and Technology Univ.
Li Li
Beijing Information Science and Technology Univ.
SunCIS-41
Flame Region Detection Using Color and Motion Features in Video
Sequences
Ligang Miao
Northeastern Univ.,
Gulf Security Tech. Cooperation LTD
Yanjun Chen
Northeastern Univ.
Aizhong Wang
Gulf Security Tech. Cooperation LTD
SunCIS-42
A Speech Endpoint Detection Algorithm Based on Wavelet
Transforms
Yali Cao
Northeastern Univ.
Dongsheng La
Northeastern Univ.
Shuo Jia
Northeastern Univ.
Xuefen Niu
Northeastern Univ.
SunCIS-43
Recognition of Sub-health State Based on Principal
Analysis
Wanbing Li
Hongwei Quan
Dongliang Peng
Hangzhou
Component
Xijing Univ.
Xijing Univ.
Dianzi Univ.
SunCIS-44
Vibration Style Ladle Slag Detection Method based on Discrete
Wavelet Decomposition
Dengfeng Chen
Xi’an Univ. of Architecture and Tech.
Haiyan Xiao
Xi’an Univ. of Architecture and Tech.
Qichun Ji
Xi’an Univ. of Architecture and Tech.
SunCIS-45
Multi-model Self-tuningWeighted Fusion Kalman Filter
Wenqiang Liu
Heilongjiang Univ. of Scie. and Tech.
Guili Tao
Heilongjiang Univ. of Scie. and Tech.
SunCIS-46
Spectrum Sensing for Cognitive Network Based on Principal
Component Analysis and Random Forest
Xin Wang
Northeastern Univ.
Shenyang Jianzhu Univ.
Zhigang Liu
Northeastern Univ.
Jinkuan Wang
Northeastern Univ.
Bin Wang
Northeastern Univ.
Xi Hu
Northeastern Univ.
SunCIS-47
52
8:40-9:00
MonA01-3
Multi-time Scale Hierarchical Predictive Control for Energy
Management of Microgrid System with Smart Users
Jun Xu
East China Univ. of Science and Tech.
Yuanyuan Zou
East China Univ. of Science and Tech.
Yugang Niu
East China Univ. of Science and Tech.
9:00-9:20
MonA01-4
The Active Disturbance Rejection Control with a Load Torque
Observer for Secondary Regulation Hydraulic Speed System
Yajun Zhou
Beijing Institute of Tech.
Xiangzhou Wang
Beijing Institute of Tech.
Shuhua Zheng
Beijing Institute of Tech.
9:20-9:40
MonA01-5
H∞ Filtering for Nonlinear Systems Based on Prey-predator Model
With Stage Structure and External Disturbance
Zhaoping Du
Jiangsu University of Science and Tech.
Yuhua Si
Jiangsu University of Science and Tech.
Songlin Hu
Nanjing University of Posts and Telecommunications
9:40-10:00
MonA01-6
Design of Flight Control System for Tiltrotor Conversion Using QFT
Ke Lu
National Key Lab of Rotorcraft Aeromechanics
Zhengzhong Wang
National Key Lab of Rotorcraft Aeromechanics
Qiyou Cheng
National Key Lab of Rotorcraft Aeromechanics
MonA02
Room6A
Optimal control and optimization (IV)
8:00-10:00
Chair: Dexin Gao
Qingdao Univ. of Scie. & Tech.
CO-Chair: Ju Zhang
Zhejiang Univ. of Tech.
8:00-8:20
MonA02-1
Multi-Objective Two-Level Optimal Approach for Discrete Bilinear
Systems with Sinusoidal Disturbances
Dexin Gao
Qingdao Univ. of Scie. & Tech.
Qing Yang
Qingdao Univ. of Scie. & Tech.
Min Wang
Qingdao Univ. of Scie. & Tech.
8:20-8:40
MonA02-2
Explicit Model Predictive Control of 3-DOF Helicopter
Ju Zhang
Zhejiang Univ. of Tech.
Xinyan Cheng
Zhejiang Univ. of Tech.
8:40-9:00
MonA02-3
Dual-rate Inferential Predictive Control for Systems with Time-delay
Shengtao Li
Shandong Normal Univ.
Xiaomei Liu
Southeast Univ.
Technical Programmes
Wenying Zhang
Xiujuan Dong
Yuanwei Jing
Shandong Normal Univ.
Northeastern Univ.
Northeastern Univ.
9:00-9:20
MonA02-4
The Optimizing Design for LED Color Mixing Based on Artificial Fish
Swarm Algorithm
Xinyuan Luan
Shanghai Univ.
Tingzhang Liu
Shanghai Univ.
9:20-9:40
MonA02-5
Improved Particle Swarm Optimization Algorithm in Dynamic
Environment
Changcheng Xiang
Hubei Minzu Univ.
Xuegang Tan
Hubei Minzu Univ.
Yi Yang
Hubei Minzu Univ.
9:40-10:00
MonA02-6
First-order Contiguity Constraint on Traffic Analysis Zone
Delineation Problem
Linqing Wang
Northeastern Univ.
Jiafu Tang
Northeastern Univ.
Dongbei Univ. of Finance and Economics (DUFE)
MonA03
Nonlinear systems (III)
Chair: Jianhua Zhang
CO-Chair: Zhonghua Zhang
Room7A
8:00-10:00
East China Univ. of Scie. and Tech.
Northeast Dianli Univ.
Dong Yang
Guangdeng Zong
2014CCDC
Qufu Normal Univ.
Qufu Normal Univ.
8:20-8:40
MonA04-2
Active Fault Tolerant Control of CSTR System Based on MLD Model
HuanXin Li
China Univ. of Petroleum
Yu-Hong Wang
China Univ. of Petroleum
8:40-9:00
MonA04-3
On the absolute stability approach to quantized feedback control:
Further insight
Xiju Zong
Univ. of Jinan
Xingong Cheng
Univ. of Jinan
9:00-9:20
MonA04-4
Sensitivity Analysis of Optimal Control Problems for Switched
Systems
Jinjin Liu
Southeast Univ.
Kanjian Zhang
Southeast Univ.
Xiaomei Liu
Southeast Univ.
Haikun Wei
Southeast Univ.
9:20-9:40
MonA04-5
Robust Fault Detection Filter Design for Linear Switched Interval
Systems
Jiawei Wang
Harbin Inst. of Tech.
Yi Shen
Harbin Inst. of Tech.
Miao Zhang
Harbin Inst. of Tech.
8:00-8:20
MonA03-1
Nonlinear filtering based joint estimation of parameters and states
in polynomial systems
Qiang Jiang
East China Univ. of Scie. and Tech.
Jianhua Zhang
East China Univ. of Scie. and Tech.
MonA05
Delay systems
Chair: Chenxiao Cai
CO-Chair: Xiaobin Mao
8:20-8:40
MonA03-2
Initial Alignment of Large Misalignment Angle in Strapdown Inertial
Navigation System Based on Gaussian Process Regression
Xi-jing Zhao
Xi’an Research Inst. of Hi-Tech, Xi’an
Li-xin Wang
Xi’an Research Inst. of Hi-Tech, Xi’an
Zhi-kun He
Xi’an Research Inst. of Hi-Tech, Xi’an
Bo Zhang
Xi’an Research Inst. of Hi-Tech, Xi’an
Han Zhao
Xi’an Research Inst. of Hi-Tech, Xi’an
8:00-8:20
MonA05-1
Hopf bifurcation analysis for a model of RNA silencing with two
delays
Tingting Yu
Heilongjiang Univ.
Xian Zhang
Heilongjiang Univ.
Guodong Zhang
Heilongjiang Univ.
Min Su
Heilongjiang Univ.
8:40-9:00
MonA03-3
H ∞ Filtering for a Class of Stochastic Time-delay Nonlinear
Systems
Feng Zhao
Northeastern Univ.
Qingling Zhang
Northeastern Univ.
Chao Liu
Northeastern Univ.
Zedong Li
Northeastern Univ.
9:00-9:20
MonA03-4
Backstepping Based Direct Power Control for Rectifier
Jingjing Huang
Xi’an Jiaotong Univ.
Aimin Zhang
Xi’an Jiaotong Univ.
Yuangang Sun
Xi’an Shiyou Univ.
Hang Zhang
Xi’an Jiaotong Univ.
Chao Zhang
Xi’an Jiaotong Univ.
Zhigang Ren
Xi’an Jiaotong Univ.
9:20-9:40
MonA03-5
A Controller Design for Spacecraft Attitude Maneuvering with
Control Saturation Based on L2-gain
Shi Zhong
Civil Aviation Univ. of China;
Binzhou Vocation Coll.
Wang Hui
Civil Aviation Univ. of China
Li Li
Harbin Inst. of Tech.
Hu Qing-lei
Harbin Inst. of Tech.
9:40-10:00
Chaos Control of Oscillator
Backstepping Method
Zhonghua Zhang
MonA04
Hybrid systems
Chair: Guangdeng Zong
CO-Chair: HuanXin Li
Circuit
Based
on
MonA03-6
Adaptive
Northeast Dianli Univ.
Room7B
8:00-9:40
Qufu Normal Univ.
China Univ. of Petroleum
8:00-8:20
MonA04-1
Finite-time H∞ control for extended Markovian jump systems with
partially known transition probabilities
53
Room8A
8:00-9:40
Nanjing Univ. of Scie. and Tech.
Scie. and Tech. on Information Systems
Engineering Laboratory
8:20-8:40
MonA05-2
Partial eigenvalue assignment problems for time-delayed systems
Xiaobin Mao
Scie. and Tech. on Information Systems
Engineering Laboratory
8:40-9:00
MonA05-3
Improved Robust Stability Criteria for Uncertain Discrete-Time Lur’e
Systems with Interval Time-Delay
Wenyong Duan
Nanjing Univ. of Scie. and Tech.
Chenxiao Cai
Nanjing Univ. of Scie. and Tech.
Zhengfan Liu
Nanjing Univ. of Scie. and Tech.
9:00-9:20
MonA05-4
Truncated Predictor Feedback for Periodic Linear Systems with
Input Delays with Applications to the Elliptical Spacecraft
Rendezvous
Bin Zhou
Harbin Institute of Tech.
Zhaoyan Li
Harbin Institute of Tech.
9:20-9:40
MonA05-5
Dual-rate Sampled-Data H∞ Control for Vehicle Active Suspension
Systems
Wei Bai
Shanxi Univ.
Kai Jia
Southeast Univ.
Yanping Yang
Shanxi Univ
Dawei Zhang
Shanxi Univ
MonA06
Room8B
Fault diagnosis and fault-tolerant control (IV)
8:00-10:00
Chair: Hao Yang
Nanjing Univ.of Aeronautics and Astronautics
CO-Chair: Xin Zhang
China Jiliang Univ.
8:00-8:20
MonA06-1
Robust Fault Tolerant Control of Under-actuated VTOL Aircraft
Yuanqing Jiang
Nanjing Univ. of Aeronautics and Astronautics
Hao Yang
Nanjing Univ. of Aeronautics and Astronautics
Bin Jiang
Nanjing Univ. of Aeronautics and Astronautics
8:20-8:40
Incipient Fault Detection Based on Empirical Likelihood
MonA06-2
Technical Programmes
Xin Zhang
Yingping Sang
Jiusun Zeng
Zhenwei Huang
China
China
China
Zhejiang Institute
Jiliang Univ.
Jiliang Univ.
Jiliang Univ.
of Metrology
8:40-9:00
MonA06-3
Fault Detection of Rolling Bearing Based on EMD-DPCA
Liying Jiang
Shenyang Aerospace Univ.
Guangting Gong
Shenyang Aerospace Univ.
Yanpeng Zhang
Shenyang Aerospace Univ.
Zhipeng Liu
Shenyang Aerospace Univ.
Jianguo Cui
Shenyang Aerospace Univ.
9:00-9:20
MonA06-4
Fault Diagnosis for Rolling Element Bearing Using EMD-DFDA
Liying Jiang
Shenyang Aerospace Univ.
Yanpeng Zhang
Shenyang Aerospace Univ.
Guangting Gong
Shenyang Aerospace Univ.
Zhipeng Liu
Shenyang Aerospace Univ.
Jianguo Cui
Shenyang Aerospace Univ.
9:20-9:40
MonA06-5
Fault Diagnosis Method of Non-linear Analog Circuits Based on
Volterra Series and SVM
Huafeng He
The Second Artillery Engineering Univ.
Yicheng Chen
The Second Artillery Engineering Univ.
Zheng Yang
The Second Artillery Engineering Univ.
Huixuan Deng
The Second Artillery Engineering Univ.
9:40-10:00
MonA06-6
A Fault-tolerant Control Method for Satellite with Uncertainties and
Saturation
Wenjie Duan
Beijing Institute of Control Engineering
Dayi Wang
Beijing Institute of Control Engineering
MonA07
Supply chain and logistics management
Chair: Hali Pang
CO-Chair: Guihong Hu
Room9A
08:00-10:00
Northeastern Univ.
Northeastern Univ.
Heze Univ.
08:00-08:20
MonA07-1
Coordinative Scheduling Problem of Single Machine Manufacturing
and Delivery with Due Date Windows
Hali Pang
Northeastern Univ.
08:20-08:40
MonA07-2
Model and Algorithm for the 4PL Multi-Objects Routing Optimization
Problem Based on Low Carbon Logistics
Guihong Hu
Northeatern Univ.
Heze Univ.
08:40-09:00
MonA07-3
Optimization the Location of Container Depots with Environmental
Constraints
Peiqing He
Qingdao Hotel Management Coll.
09:00-09:20
MonA07-4
Structure Choice and Equilibrium Analysis on High Timeliness
Merchandise Distribution Channel
Qian Wu
Henan Agricultural Univ.
Fenyi Dong
Henan Agricultural Univ.
Rong Zhang
Shanghai Maritime Univ.
Bin Liu
Shanghai Maritime Univ.
09:20-09:40
MonA07-5
A Dynamic Fuzzy Multi-attribute Group Decision Making Method for
Supplier Evaluation and Selection
Ruirui Bai
Soochow Univ.
Fanzhang Li
Soochow Univ.
Jiwen Yang
Soochow Univ.
09:40-10:00
MonA07-6
A Spatio-temporal Based Parallel Insertion Algorithm for Solving
Dial-A-Ride Problem
Jingmei Guo
Northeastern Univ.
Chao Liu
Northeastern Univ.
MonA08
Instrumentation systems
Chair: Zhemin Wu
CO-Chair: Qi OuYang
Room9B
8:00-10:00
Harbin Engineering Univ.
Chongqing Univ.
54
2014CCDC
8:00-8:20
MonA08-1
Moving State Marine SINS Initial Alignment Based on Transformed
Cubature
Yonggang Zhang
Harbin Engineering Univ.
Yulong Huang
Harbin Engineering Univ.
Zhemin Wu
Harbin Engineering Univ.
Ning Li
Harbin Engineering Univ.
8:20-8:40
MonA08-2
A New Method for All-around Identification of Two-Phase Flow
Pattern Based on SVM and ECT
Yutao Wang
Northeastern Univ.
Shuwang Di
Northeastern Univ.
8:40-9:00
MonA08-3
Finite Element Simulation and Optimization Design of Capacitance
Sensor with Loop Test Plate
Bin Ji
Northeastern Univ.
Yutao Wang
Northeastern Univ.
Gang Yang
Northeastern Univ.
Jinfeng Yuan
Northeastern Univ.
9:00-9:20
MonA08-4
EMAT Detection Method of Spray Cooling Characteristics for
Industrial Nozzle
Qi OuYang
Chongqing Univ.
Yuebing Zeng
Chongqing Univ.
Xinglan Zhang
Chongqing Univ. of Tech.
Ximeng Chen
Chongqing Univ.
9:20-9:40
MonA08-5
Design of Engine data acquisition PCI card based on FPGA
Yang Zhu
GuiZhou Univ.
Minhui Wang
GuiZhou Univ.
9:40-10:00
MonA08-6
Fractional Fourier Transform for Ultrasonic Ranging Device
Yongjun Zheng
Zhejiang Univ.
China Jiliang Univ.
He Li
China Jiliang Univ.
Fei Wang
China Jiliang Univ.
Shanan Zhu
Zhejiang Univ.
MonA09
Space and underwater robots
Chair: Shengying Zhu
CO-Chair: Changzhong Pan
Room10A
8:00-10:00
Beijing Institute of Tech.
Hunan Univ. of Scie. and Tech.
8:00-8:20
MonA09-1
Deep Space Moving Target Detection Based on Technology of
Image Matching
Haning Xiu
Beijing Institute of Tech.
Shengying Zhu
Beijing Institute of Tech.
Pingyuan Cui
Beijing Institute of Tech.
8:20-8:40
MonA09-2
An Efficient Neural Network based Tracking Controller for
Autonomous Underwater Vehicles Subject to Unknown Dynamics
Changzhong Pan
Hunan Univ. of Scie. and Tech.
Simon X. Yang
Univ. of Guelph
Xuzhi Lai
Central South Univ.
Lan Zhou
Hunan Univ. of Scie. and Tech.
8:40-9:00
MonA09-3
Horizontal Zigzag Maneuverability of UUV in Limited Space
Caoyang Yu
Huazhong Univ. of Scie. and Tech.
Xianbo Xiang
Huazhong Univ. of Scie. and Tech.
Rui Zhao
China Ship Development and Design Center
9:00-9:20
MonA09-4
A Traveling Wave Fitting Method for Robotic Fish with a Multi-joint
Caudal Fin
Guang Ren
Beijing Institute of Tech.
Chao Wang
Beijing Institute of Tech.
Fei Wang
Beijing Institute of Tech.
9:20-9:40
Networked Mars Satellite
Navigation Analysis
Subuda Menggen
Pingyuan Cui
Shengying Zhu
System
Design
and
MonA09-5
Autonomous
Beijing institute of Tech.
Beijing institute of Tech.
Beijing institute of Tech.
Technical Programmes
9:40-10:00
MonA09-6
Vibration Suppressive Control of Flexible-Joint Space Manipulators
Based on Legendre Pseudospectral Method
Guangyan Xu
Shenyang Aerospace Univ.
Changming Sun
Shenyang Aerospace Univ.
Hongmei Zhang
Shenyang Aerospace Univ.
Xia Chen
Shenyang Aerospace Univ.
Biao Zhou
Shenyang Aerospace Univ.
MonA10
Renewable energies (II)
Chair:Yang Hu
CO-Chair: Zhiyong Li
Room10B
8:00-10:00
North China Electric Power Univ.
Central South Univ.
8:00-8:20
MonA10-1
LPV T-S Fuzzy Gain Scheduling Control of WTGS below Rated Wind
Speed
Yang Hu
North China Electric Power Univ.
Jizhen Liu
North China Electric Power Univ.
Zhongwei Lin
North China Electric Power Univ.
8:20-8:40
MonA10-2
Flexible Grid-connection Technique of Quasi-Z Source Photovoltaic
Power Generation System based on Direct Power Control
Yuxun Luo
Central South Univ.
Zhiyong Li
Central South Univ.
Xingyao He
Central South Univ.
Xuexiu Zeng
Central South Univ.
8:40-9:00
MonA10-3
Energy dynamic optimization model research for off-grid run micro
grid
Qing Ai
Hubei Univ. for Nationalities
Dongshan Geng
Hubei Univ. for Nationalities
Shaowu Li
Hubei Univ. for Nationalities
Yongchao Yang
Hubei Univ. for Nationalities
Kunyi Chen
Hubei Univ. for Nationalities
9:00-9:20
MonA10-4
The Influence of Groundwater Seepage on Ground Heat Exchange
Gangjie Yang
Beijing Univ. of Tech.
Min Guo
Beijing Univ. of Tech.
9:20-9:40
MonA10-5
Modeling and Simulation of Heat and Moisture Transfer of the
Geothermal Borehole
Quanwen Jiao
Beijing Univ. of Tech.
Yating Zhang
Beijing Univ. of Tech.
9:40-10:00
MonA10-6
Modeling and Simulation of Four Boreholes Heat Transfer and
Intermittent Running
Yating Zhang
Beijing Univ. of Technology
Quanwen Jiao
Beijing Univ. of Technology
MonA11
Computer Games(Invited Session)-I
Chair: Xinhe Xu
CO-Chair:
Room11B
08:00-10:00
Northeastern Univ.
08:00-08:20
MonA11-1
UCT Algorithm in Amazons Human-computer Games
Xiali Li
MINZU University of China
Liang Hou
MINZU University of China
Licheng Wu
MINZU University of China
08:20-08:40
MonA11-2
Search Strategy Research and Analysis for Surakarta Chess Game
Chang Liu
University of Science & Technology Beijing
Jiaxin Wang
University of Science & Technology Beijing
Yunpeng Zhang
University of Science & Technology Beijing
08:40-09:00
MonA11-3
Application and Design of Computer Games System in Connect6
Jun Tao
Jianghan University
09:00-09:20
MonA11-4
The Game Method of Checkers based on Alpha-Beta Search
Strategy with Iterative Deepening
Zicheng Zhao
Beijing Institute of Technology
Songze Wu
Beijing Institute of Technology
Jiao Liang
Beijing Institute of Technology
Fuyu Lv
Beijing Institute of Technology
55
Changlong Yu
2014CCDC
Beijing Institute of Technology
09:20-09:40
MonA11-5
Chinese Chess Recognition Algorithm Based on Computer Vision
Gui Wu
Jianghan University
Jun Tao
Jianghan University
09:40-10:00
MonA11-6
The Overview for UAV Air-combat Decision Method
Li Fu
Shenyang Aerospace University
fuhuai xie
Shenyang Aerospace University
Dongzheng Wang
Dalian University of Technology
Guanglei Meng
Shenyang Aerospace University
MonAIS
Interactive Session
The lobby of the 4th floor
08:00-10:00
MonAIS-01
Predictive Control of Arc Furnace Based on Genetic Algorithm
Ping Guan
Beijing Information Scie.and Tech.Univ.
Xiaohe Liu
Beijing Information Scie.and Tech.Univ.
Yuezhao Gao
Beijing Information Scie.and Tech.Univ.
MonAIS-02
A Simple Model of Human Balance Postural Control
Jinzhuang Xiao
Wenhui Zhou
Hongrui Wang
Hebei Univ.
Hebei Univ.
Hebei Univ.
MonAIS-03
Fast Model Predictive Control of 3-DOF Helicopter
Ju Zhang
Zhejiang Univ. of Tech.
Rong Yu
Zhejiang Univ. of Tech.
MonAIS-04
Research on the Modeling and Simulation of Multi-axial Drag Lifting
Work System Using the Distributed Net Modeling Approach
Gang Tang
Wuhan Univ.of Tech.
Xianglian Xu
Wuhan Univ.of Tech.
Pingting Xu
Wuhan Univ.of Tech.
Ting Liu
Wuhan Univ.of Tech.
MonAIS-05
Trajectory Planning of 6-DOF Manipulator Based on Combination
Function Method
Shuhua Ma
Northeastern Univ.
Northeastern Univ.at Qinhuangdao
Lin Yang
Northeastern Univ.
Zhigang Liu
Northeastern Univ.at Qinhuangdao
Jinkuan Wang
Northeastern Univ.
MonAIS-06
Object Tracking via Fragment-based Multi-task Sparse State
Inference
Chunjuan Bo
Dalian Nationalities Univ.
Rubo Zhang
Dalian Nationalities Univ.
Guanqun Liu
Dalian Nationalities Univ.
Honguang Cao
Dalian Nationalities Univ.
MonAIS-07
Dynamic Modeling and Control for a Morphing Aircraft
Jie Zhang
Beijing Univ.of Aeronautics and Astronautics
Sentang Wu
Beijing Univ.of Aeronautics and Astronautics
MonAIS-08
Transition Trajectory Guidance for A Conceptual Space-based
Missile
Zhengdong Hu
Scie.and Tech on Complex Land Systems
Simulation. Lab.
Xuemei Tang
Scie.and Tech on Complex Land Systems
Simulation. Lab.
Wenli Yan
Scie.and Tech on Complex Land Systems
Simulation. Lab.
MonAIS-09
Model Predictive Contouring Control for Direct Drive XY Table
Hao Zheng
Shenyang Univ.of Tech.
Limei Wang
Shenyang Univ.of Tech.
MonAIS-10
Adaptive Zero Phase Based Internal Model Control for Direct Drive
XY Table
Technical Programmes
Long Li
Guidaojiaotong Polytechnic Institute
MonAIS-11
Compensation of Dead-time Effects Based on Adaptive Voltage
Disturbance Estimator in PMSM Drives
Haifeng Xiao
Northwestern Polytechnical Univ.
Xi’an Aeronautical Aniversity
Yuyao He
Northwestern Polytechnical Univ.
MonAIS-12
A Discrete Model Reference Sliding Mode Controller with a
Disturbance Compensator and Its Application to Flight Simulator
Chao Cai
Beihang Univ.
Weihong Wang
Beihang Univ.
Wulong Zhang
Scie.and Tech.on Space System S
imulation Lab.
MonAIS-13
A Research of DC Motor Dual Close-loop PID Speed-tuning System
on the Basis of ABC Algorithm
Dongshan Geng
Hubei Univ.for Nationalities
Kunyi Chen
Hubei Univ.for Nationalities
Yongchao Yang
Hubei Univ.for Nationalities
Shaowu Li
Hubei Univ.for Nationalities
Qing Ai
Hubei Univ.for Nationalities
MonAIS-14
Research on Static Evaluation Method for Computer Game of NoGo
Yuxia Sun
Shenyang Aerospace University
Guojun Rao
Shenyang Aerospace University
Huimin Sun
Shenyang Aerospace University
Yuan Wei
Shenyang Aerospace University
MonAIS-15
Study of Strategy Selection Based on Phantom Go
LiFei
Shenyang Aerospace
Ouyang Li
Shenyang Aerospace
Wang Yajie
Shenyang Aerospace
Dong Yanqiu
Shenyang Aerospace
University
University
University
University
MonAIS-16
Research of Einstein würfelt nicht! Monte Carlo Algorithm Based on
Optimized Evaluation
Xiaoyan Wang
Shenyang Aerospace University Engineering T
raining Center
Hong Zhang
Shenyang Aerospace University Engineering T
raining Center
Yajie Wang
Shenyang Aerospace University Engineering T
raining Center
Jie Qi
Shenyang Aerospace University Engineering T
raining Center
Bin Zhou
Shenyang Aerospace University Engineering T
raining Center
MonAIS-17
The Analysis and Research on Computational Complexity
Qiang Gao
Northeastern University
Xinhe Xu
Northeastern University
MonAIS-18
Automation Control System for 1.2Mt/a Pelletizing Plant of JINDAL
SAW Co., Ltd. India
Cao pengfei
Hefei Univ.of Tech.
Ning jianxin
Hefei Univ.of Tech.
Haribansh.Yadav
Hefei Univ.of Tech.
MonAIS-19
Dynamic Modeling and Analysis for a New Grounding Method
Zhigang Zhang
State Grid of China Tech.Coll.
Weidong Ding
Shandong Electric Power Research Institute
Xuefeng Li
State Grid of China Tech.Coll.
MonAIS-20
System Design For Aircraft Fuel Control And Maintenance Test-bed
Chuntang Zhang
Qingdao Univ.of Scie.and Tech.
Shaokun Wang
Qingdao Univ.of Scie.and Tech.
MonAIS-21
Control System Design and Simulation for UAV during Aerial
Refueling
Zhiping Liu
Xi’an Technological Univ.
Mingjing Zhu
Xi’an Technological Univ.
56
2014CCDC
Xi’an Technological Univ.
Fang Tan
MonAIS-22
A Dead-Beat Control Method for APF Based on Mixed Prediction
Wei Han
Northeastern Univ.
Inner Mongolia Univ.for Nationalities
Dazhi Wang
Northeastern Univ.
Yunlu Li
Northeastern Univ.
Zhen Liu
Northeastern Univ.
MonAIS-23
The Research and Application of Heavy Conventional Weapons
Simple Guidance Technology In The Future
Ming Xu
Baicheng Weapon Test Center
Bin Liu
Baicheng Weapon Test Center
Jinlong Yu
Unit 63810,Hainan
MonAIS-24
A new chaotic secure communication scheme based on shape
synchronization
Yuan-yuan Huang
Guangdong Univ.of Tech.
Changsha Univ.of Scie.&Tech.
Yin-he Wang
Guangdong Univ.of Tech.
MonAIS-25
Estimation Model
Fewer Sensors
Bing Chen
Yong Gao
Zuwei Yin
Wei Gao
and Simulation for Auditory Localization with
Zhengzhou
Zhengzhou
Zhengzhou
Zhengzhou
Institue
Institue
Institue
Institue
of
of
of
of
Information
Information
Information
Information
Scie.and
Scie.and
Scie.and
Scie.and
Tech.
Tech.
Tech.
Tech.
MonAIS-26
Design of Fuzzy Controller for Air-Conditioning Systems Based-on
Semi-tensor Product
Xiaohui Hua
Shandong Jianzhu Univ.
Peiyong Duan
Shandong Jianzhu Univ.
Hongli Lv
Shandong Jianzhu Univ.
Zhaosheng Zhang
Qufu Normal Univ.
Xiuwen Yang
Shandong Jianzhu Univ.
Chunjun Zhang
Shandong Jianzhu Univ.
MonAIS-27
Design and implementation of the electric gripper control system
based on the DSP
Zhanglei Chen
Zhejiang Univ. of Tech.
Jianming Xu
Zhejiang Univ. of Tech.
Li Yu
Zhejiang Univ. of Tech.
Yuansheng Xiong
Jiaxing Univ.
Haitao Zhu
Zhejiang Univ. of Tech.
MonAIS-28
Neural Networks Adaptive Control of Aircraft Engine Based on
Genetic Algorithm
Hongmei Zhang
Shenyang Aerospace Univ.
Ziyun Dong
Shenyang Aerospace Univ.
Guangyan Xu
Shenyang Aerospace Univ.
MonAIS-29
Supervisory Predictive Control of Weighted Least Square Support
Vector Machine Based on Cauchy Distribution
Suzhen Li
North China Electric Power Univ.
Xiangjie Liu
North China Electric Power Univ.
Gang Yuan
ZhongXing Hydraulic Parts Co.Ltd
MonAIS-30
DSP Based Digital Control System Implementation of Permanent
Magnet Synchronous Motor
Long Li
Guidaojiaotong Polytechnic Institute
MonAIS-31
Research on Effect Airwake Acts on Glide Performance of
Carrier-based Aircraft
Yongtao Yu
Shenyang Aerospace Univ.
Zhi Zhang
Harbin Engineering Univ.
MonAIS-32
Experimental Research on Microvibrations of Magnetically
Suspended MomentumWheel
Cong Peng
Key Lab.of Fundamental Scie.for National
Defense Beihang Univ.
Jiancheng Fang
Key Lab.of Fundamental Scie.for National
Technical Programmes
Hu Liu
Yahong Fan
Meng Meng
Jiyang Zhang
Defense Beihang Univ.
Key Lab.of Fundamental Scie.for Nationa
Defense Beihang Univ.
Beijing Institute of Control Engineering
Beijing Institute of Control Engineering
Beijing Institute of Control Engineering
MonAIS-33
Design and Implementation of the Remote Control of ICCP Systems
Xiaohua Wang
Shanghai Univ.
Meijiao Hu
Shanghai Univ.
Yao Huang
Shanghai Univ.
Jun Gu
Shanghai Univ.
Shouwei Gao
Shanghai Univ.
Zhonghua Miao
Shanghai Univ.
MonAIS-34
Decoupled PID controller for wind tunnel system
Tingfeng Zhang
Northeastern Univ.
Liaoning Univ.of Tech.
Zhizhong Mao
Northeastern Univ.
Ping Yuan
Northeastern Univ.
MonAIS-35
The Research on the Supply-chain Management Based on
E-Business Platform
Wei Liu
Hebei Univ.
Zi Wang
Minzu Univ.of China
MonAIS-36
Coordination and incentives in a supply chain with manufacturer
quality effort
Wei Xiong
Zhejiang Univ.
MonAIS-37
Research on Logistics Cost Control of Coal Enterprises
Yi Zhang
Yibin Univ.
Sichuan Univ.
Mengxiang Zhang
Sichuan Univ.
MonAIS-38
Comparison of Two Alternative Policies to Reduce No-show in
Appointment System
Chongjun Yan
Northeastern Univ.
Jiafu Tang
Northeastern Univ.
MonAIS-39
An Inventory Control Model for Perishable Items with Stochastic
Replenishment Interval and Stock-dependent Selling Rate
Guangfan Xu
Hefei Univ.of Tech.
Key Lab.of Process Optimization and Intelligent
Decision-making
Xiaojia Wang
Hefei Univ.of Tech.
Key Lab.of Process Optimization and Intelligent
Decision-making
Yanyan Wu
Hefei Univ.of Tech.
Shanlin Yang
Hefei Univ.of Tech.
Key Lab.of Process Optimization and Intelligent
Decision-making
MonAIS-40
Green Supply Chain Management: A State of the Art Review
Wenxing Wang
Zhejiang Univ.
MonAIS-41
Research on Wartime Aircraft Carrier SoS POL Support Strategy
Based on System Dynamics
Tianjian Wen
Beijing Univ.of Aeronautics & Astronautics
Xin Pan
Beijing Univ.of Aeronautics & Astronautics
Yong Wu
Beijing Univ.of Aeronautics & Astronautics
MonAIS-42
Collaborative Information Management in Agricultural Products
Supply Chain in China: A Case Study of Wumart
Wenxing Wang
Zhejiang Univ.
MonAIS-43
Research on UWB-based Location Technology Applied for
Hazardous Chemicals Stacking Storage
Xin Lv
Beijing Univ.of Chemical Tech.
Xuejun Liu
Beijing Institue of Petrochemical Tech.
Bo Dai
Beijing Institue of Petrochemical Tech.
57
2014CCDC
MonAIS-44
MBPLS-Based Rail Vehicle Suspension System Fault Detection
Xiukun Wei
Beijing Jiaotong Univ.
Ying Guo
Beijing Jiaotong Univ.
Limin Jia
Beijing Jiaotong Univ.
MonAIS-45
Data-Driven Thermal Efficiency Modeling and Optimization for
Co-firing Boiler
Jianguo Wang
Shanghai Univ.
Juanjuan Wang
Shanghai Univ.
Qianping Xiao
Shanghai Univ.
Shiwei Ma
Shanghai Univ.
Wentao Rao
Baosteel Reasearch Institute
Yong-Jie Zhang
Baosteel Reasearch Institute
MonAIS-46
Soft Sensor Approach for Optimal Operation of Cooling Tower for
Energy Conservation
Jianguo Wang
Shanghai Univ.
Qianping Xiao
Shanghai Univ.
Juanjuan Wang
Shanghai Univ.
Shiwei Ma
Shanghai Univ.
Wentao Rao
Baosteel Reasearch Institute
Yongjie Zhang
Baosteel Reasearch Institute
MonAIS-47
The Adaptive Dynamic Programming Based on the
Least Squares Approach
Bo Zhang
Univ.of Scie.and
Daqing Zhang
Univ.of Scie.and
Yifa Yu
Univ.of Scie.and
Ganggang Zhang
Univ.of Scie.and
MonAIS-48
An Optimal Sparseness Approach for Least
Machine
Jia Luo
Guangdong
Shihe Chen
Guangdong
Le Wu
Guangdong
Shirong Zhang
Data-A Total
Tech.Liaoning
Tech.Liaoning
Tech.Liaoning
Tech.Liaoning
Square Support Vector
Power Grid Corporation
Power Grid Corporation
Power Grid Corporation
Wuhan Univ.
MonB01
Room11A
Complex networks and systems (II)
10:20-12:20
Chair: Guoping Jiang
Nanjing University of Posts and Teleco
mmunications
CO-Chair: Lili Zhang
Guangdong University of Tech.
10:20-10:40
MonB01-1
Path Selection Algorithm Based on AHP for Small-World with
Three-Weight
Binbin Zhou
Liaoning University of Science and Tech.
Xuebo Chen
Liaoning University of Science and Tech.
10:40-11:00
MonB01-2
Synchronization for Nonlinearly Coupled Complex Dynamical
Networks with Different Dimensional Nodes
Lili Zhang
Guangdong University of Tech.
Yinhe Wang
Guangdong University of Tech.
Qinruo Wang
Guangdong University of Tech.
11:00-11:20
MonB01-3
State Estimation for Nonlinear Coupled Complex Dynamical
Networks with Time Delay
Yingyou Sun
Nanjing University of Posts and Telecommunications
Guoping
Nanjing University of Posts and Telecommunications
Jiang
11:20-11:40
MonB01-4
Research on the Emergence Mechanism of Last Planner System of
Lean Construction
Zhu
Library of Shandong Youth University of Political Scie.
Kongguo
11:40-12:00
MonB01-5
From View of Complex Network: Fractal Dimension of Music
Notation
Ningkui Wang
Key Laboratory of Biologic Resources Protecti
on and Utilization of Hubei Province
Hubei University for Nationalities
Daijun Wei
Key Laboratory of Biologic Resources Protecti
on and Utilization of Hubei Province
Hubei University for Nationalities
Southwest Univ.
Technical Programmes
12:00-12:20
Revisiting singular Boolean networks
Min Meng
June Feng
MonB02
Co-operative control
Chair: Jianxiang Xi
CO-Chair: Zhiyong Geng
MonB01-6
Shandong Univ.
Shandong Univ.
Room6A
10:20-12:20
High-Tech Institute of Xi’an
Peking Univ.
10:20-10:40
MonB02-1
Finite Time Optimal Formation Control for Multiple Vehicles
Zhiyong Geng
Peking Univ.
10:40-11:00
MonB02-2
Coverage and Control of Diffusion Process based on Centroidal
Voronoi Tessellations
KeCai Cao
Nanjing Univ. of Posts and Telecommunications
Nanjing Univ, of Aeronautics and Astronautics
MengJiao Lv
Nanjing Univ. of Posts and Telecommunications
Xiang Gao
Nanjing Univ. of Posts and Telecommunications
PingWei Fan
Nanjing Univ. of Posts and Telecommunications
11:00-11:20
Formation Tracking Control for Multi-agent
Dynamics via Impulsive Control
Meng Liu
Huazhong
Yanwu Wang
Huazhong
Jiangwen Xiao
Huazhong
Xiaokang Liu
Huazhong
MonB02-3
Systems with Nonlinear
Univ.
Univ.
Univ.
Univ.
of
of
of
of
Scie.
Scie.
Scie.
Scie.
and
and
and
and
Tech.
Tech.
Tech.
Tech.
11:20-11:40
MonB02-4
Observer-based Finite-time Tracking Control for Formations of
Mobile Robots
Tairen Sun
Jiangsu Univ.
Xin Yu
Jiangsu Univ.
Guohai Liu
Jiangsu Univ.
11:40-12:00
Consensus-based
Assignment
Zhongqi Sun
Yuanqing Xia
Formation
Control
with
MonB02-5
Dynamic Role
Beijing Institute of Tech.
Beijing Institute of Tech.
12:00-12:20
MonB02-6
Second-order Consensus of Discrete-time Multi-agent Systems via
One-step Delayed data
Guanghui Xu
Huazhong Univ. of Scie. and Tech.
Jishi Zhang
Huazhong Univ. of Scie. and Tech.
Henan Univ.
Ruiquan Liao
Yangtze Univ.
Dingxue Zhang
Yangtze Univ.
Zhihong Guan
Huazhong Univ. of Scie. and Tech.
MonB03
Intelligent systems (II)
Chair: Zhifu Li
CO-Chair: Hexu Sun
Room7A
10:20-12:20
South China Univ. of Tech.
Hebei Univ. of Tech.
10:20-10:40
MonB03-1
Monotonically convergent feedback-forward iterative learning
control for linear discrete-time systems
Zhifu Li
South China Univ. of Tech.
Yueming Hu
South China Univ. of Tech.
10:40-11:00
MonB03-2
Improved Differential Evolution Algorithm and its Application in
Complex Function Optimization
XiaoGang Dong
Jiujiang Univ.
Yan Liu
Jiujiang Univ.
ChangShou Deng
Jiujiang Univ.
11:00-11:20
MonB03-3
Predictive Image Based Visual Servoing of Manipulators with
Multiple Constraints
weipeng Liu
Hebei Univ. of Tech.
Haiyong Chen
Hebei Univ. of Tech.
Hexu Sun
Hebei Univ. of Tech.
Guansheng Xing
Hebei Univ. of Tech.
11:20-11:40
MonB03-4
A Novel Method For Face Recognition
Sonhao Zhu
Nanjing Univ. of Post and Telecommunications;
58
Xuewei Hu
Wei Sun
Ronglin Hu
2014CCDC
Yangzhou Suan IOT Sensor Tech.
Nanjing Univ. of Post and Telecommunications
Nanjing Univ. of Post and Telecommunications
Yangzhou Suan IOT Sensor Tech.;
Huaiyin Inst. of Tech.
11:40-12:00
MonB03-5
Video Abstraction via Learning the Progress of Story
Sonhao Zhu
Nanjing Univ. of Post and Telecommunications;
Yangzhou Suan IOT Sensor Tech. Co., Ltd.
Jiawei Liu
Nanjing Univ. of Post and Telecommunications
Ronglin Hu
Yangzhou Suan IOT Sensor Tech. Co., Ltd.;
Huaiyin Inst. of Tech.
12:00-12:20
MonB03-6
A novel approach for improving image annotation quality
Sonhao Zhu
Nanjing Univ. of Post and Telecommunications;
Yangzhou Suan IOT Sensor Tech. Co., Ltd.
Jiawei Liu
Nanjing Univ. of Post and Telecommunications
Ronglin Hu
Yangzhou Suan IOT Sensor Tech. Co., Ltd.;
Huaiyin Inst. of Tech.
MonB04
Distributed parameter systems
Chair: Lu Lu
CO-Chair: Leping Bao
Room7B
10:20-12:20
Beijing Institute of Tech.
Southeast Univ.
10:20-10:40
MonB04-1
An Architecture Model of Cloud Manufacturing Based on
Multi-Agent Technology
Han Zhang
Shenyang Inst. of Computing Tech., Chinese Acad.
of Scie.
Ruifeng Guo
Shenyang Inst. of Computing Tech., Chinese Acad.
of Scie.;
National Engineering Research Center For High-End
CNC
Cong Geng
National Engineering Research Center For High-End
CNC
10:40-11:00
MonB04-2
Asymptotical stabilization of linear distributed parameter switched
systems
Leping Bao
Key Lab. of Measurement and Control of Complex
Sys. of Engineering, Ministry of Education;
Southeast Univ.
Shumin Fei
Key Lab. of Measurement and Control of Complex
Sys. of Engineering, Ministry of Education;
Southeast Univ.
11:00-11:20
MonB04-3
Mobile sensor networks for sampled-data control of a class of
distributed parameter systems
Xueming Qian
Jiangnan Univ.
Baotong Cui
Jiangnan Univ.
11:20-11:40
MonB04-4
Exponential Stability for Linearized Korteweg-de Vries-ODE system
Lu Lu
Beijing Institute of Tech.
Dong-Xia Zhao
North Univ. of China
Lin-Hong Yao
North Univ. of China
11:40-12:00
MonB04-5
Stabilization for boundary controlled cascaded heat-ODE system
with time-dependent coefficient
Zhongcheng Zhou
Southwest Univ.
MonB05
Decision-making theory and method (IV)
Chair: Daizhan Cheng
CO-Chair: Renzi Yang
Room8A
10:20-12:20
Shandong Univ.
Southeast Univ.
10:20-10:40
MonB05-1
Convergence of Potential Networked Evolutionary Games
Yuanhua Wang
Shandong Univ.
Ting Liu
Chinese Academy of Scie.
Daizhan Cheng
Shandong Univ.
Chinese Academy of Scie.
10:40-11:00
MonB05-2
Integer Programming Based Optimal Side Jets Ignition Combination
for Advanced Missile Attitude Control
Zhenchao Wang
Beijing Univ. of Aeronautics and Astronautics
Lingyu Yang
Beijing Univ. of Aeronautics and Astronautics
Jing Zhang
Beijing Univ. of Aeronautics and Astronautics
Technical Programmes
Gongzhang Shen
Beijing Univ. of Aeronautics and Astronautics
11:00-11:20
MonB05-3
The Evaluation Method of Knowledgeable Manufacturing System
Based on Knowledge Mesh
Renzi Yang
Southeast Univ.
Jing Wang
Southeast Univ.
11:20-11:40
MonB05-4
Emergency Response Decision-Making based on HTN Planning
Chao Qi
Huazhong Univ. of Scie. and Tech.
Hongwei Wang
Huazhong Univ. of Scie. and Tech.
11:40-12:00
MonB05-5
The Research on Inventory Cost of Tool Based on Life Cycle
Dong Li
Univ. of Chinese Academy of Scie.
Hui Peng
Shenyang Institute of Automation, Chinese Academy
of Sciences
Chang Liu
Shenyang Institute of Automation, Chinese Academy
of Sciences
Liping Jang
Shenyang Institute of Automation, Chinese Academy
of Sciences
12:00-12:20
MonB05-6
An Equipment Requirements Development Method based on
Antagonism Seminar
Guopu Ma
Chongqing Logistic Engineering Univ.
Yong Ding
Chongqing Logistic Engineering Univ.
MonB06
Room8B
Fault diagnosis and fault-tolerant control (V)
10:20-12:20
Chair: Shuai Tan
Northeastern Univ.
CO-Chair: Ling Zhao
Chongqing Jiaotong Univ., and
Chongqing Univ.
10:20-10:40
MonB06-1
Online Monitoring for Multiple Mode Processes Based on Gaussian
Mixture Model
Shuai Tan
Northeastern Univ.
Yuqing Chang
Northeastern Univ.
Fuli Wang
Northeastern Univ.
Jun Peng
Huawei Technologies Co., Ltd
Shu Wang
Northeastern Univ.
10:40-11:00
MonB06-2
Parameter optimization algorithm of SVM for fault classification in
traction converter
Jin Zhao
HuaZhong Univ. of Scie. and Tech.
Chaorong Wu
HuaZhong Univ. of Scie. and Tech.
Chengguang Huang
HuaZhong Univ. of Scie. and Tech.
Feng Wu
HuaZhong Univ. of Scie. and Tech.
11:00-11:20
MonB06-3
Fault Diagnosis for Gearbox Based on EMD and Multifractal
Ling Zhao
Chongqing Jiaotong Univ., and Chongqing Univ.
Xiaoyan Chu
Chongqing Jiaotong Univ.
Darong Huang
Chongqing Jiaotong Univ.
11:20-11:40
MonB06-4
The Rolling Bearing Fault Diagnosis Based on LMD and LS-SVM
Yongxia Bu
Kunming Univ. of Scie.and Tech.
Jiande Wu
Kunming Univ. of Scie.and Tech.,
and Engineering Research Center for Mineral
Pipeline Transportation of Yunnan
Jun Ma
Kunming Univ. of Scie.and Tech.
Xiaodong Wang
Kunming Univ. of Scie.and Tech.,
and Engineering Research Center for Mineral
Pipeline Transportation of Yunnan
Yugang Fan
Kunming Univ. of Scie.and Tech.,
and Engineering Research Center for Mineral
Pipeline Transportation of Yunnan
11:40-12:00
MonB06-5
Fault Diagnosis of Industrial Process Based On KICA and LSSVM
Xiaoya Zhang
Kunming Univ. of Scie.and Tech.
Xiaodong Wang
Kunming Univ. of Scie.and Tech.,
and Engineering Research Center for Mineral
Pipeline Transportation of Yunnan
Yugang Fan
Kunming Univ. of Scie.and Tech.,
and Engineering Research Center for Mineral
Pipeline Transportation of Yunnan
Jiande Wu
Kunming Univ. of Scie.and Tech.,
and Engineering Research Center for Mineral
Pipeline Transportation of Yunnan
59
2014CCDC
12:00-12:20
MonB06-6
Hierarchical Method of Fault Diagnosis Based on Extended SDG
Yingjie Liu
Taiyuan Univ. of Tech.
Gang Xie
Taiyuan Univ. of Tech.
Yunyun Yang
Taiyuan Univ. of Tech.
Zehua Chen
Taiyuan Univ. of Tech.
Qinglong Chai
Taiyuan Univ. of Tech.
MonB07
Control applications (IV)
Chair: Lingshuang Kong
CO-Chair: Wenyan Tang
Room9A
10:20-12:20
Hunan University of Technology
Hunan University of Technology
10:20-10:40
MonB07-1
Research on Modelling and Control of Three-level PWM Rectifier
System
Shihong Gao
Northeastern Univ.
Shanxi Univ.
Xiaolong Qian
Northeastern Univ.
10:40-11:00
MonB07-2
The Study of Single-phase PWM Rectifier Based on PR Control
Strategy
Helin Wang
Shanghai Univ.of Electric Power
Qiming Cheng
Shanghai Univ.of Electric Power
Ming Li
Shanghai Univ.of Electric Power
Gen Chen
Shanghai Univ.of Electric Power
Liang Deng
Shanghai Univ.of Electric Power
11:00-11:20
MonB07-3
Implementation of An Improved UKF Algorithm In Electronic
Whiteboard Positioning
Jianjun Yu
Beijing Univ.of Tech.
Yingkun Zhang
Beijing Univ.of Tech.
Xiaogang Ruan
Beijing Univ.of Tech.
Yongfang Sun
Beijing Univ.of Tech.
11:20-11:40
MonB07-4
The design and implementation of ECM control system
Mei Chen
Hefei Univ.of Tech.
Ya Qiu
Hefei Univ.of Tech.
Wei Chen
Hefei Univ.of Tech.
Tao Zheng
Hefei Univ.of Tech.
11:40-12:00
MonB07-5
Analysis of the impact of translating cowl on hypersonic vehicle
performance
Liqian Dou
Tianjin Univ.
Yuye Shen
Tianjin Univ.
Ran Ji
Tianjin Univ.
12:00-12:20
MonB07-6
Self-adaptive Fuzzy PID Control Algorithm Used in Liquid Mixing
Device
Fengying Ma
School of Electrical Engineering and Automation
Huanling Li
School of Electrical Engineering and Automation
MonB08
Mobile robotics
Chair: Ruilei Zhang
CO-Chair: Zi Yang
Room9B
10:20-12:20
Nanjing Univ.of Scie. and Tech.
East China Normal Univ.
10:20-10:40
MonB08-1
Design of Inductively Wireless Power Transimission Apparatus
Yunlong Zhu
Soochow Univ.
Lei Yu
Soochow Univ.
10:40-11:00
MonB08-2
RGB-D Sensor Based Mobile Robot SLAM in Indoor Environment
Qiang Lyu
Academy of Armored Force Engineering
Feng Liu
Academy of Armored Force Engineering
Xiaolong Wang
Academy of Armored Force Engineering
Guosheng Wang
Academy of Armored Force Engineering
11:00-11:20
MonB08-3
A Method of Map Building Based on Sonar and Human-Robot
Interaction
Shuhua Liu
Northeast Normal Univ.
Yu Zhao
Northeast Normal Univ.
Runmin Li
Northeast Normal Univ.
11:20-11:40
MonB08-4
Technical Programmes
A SRT-Based Path Planning Algorithm in Unknown Complex
Environment
Yiping Zou
Nanjing Univ. of Scie. and Tech.
Jian Guo
Nanjing Univ. of Scie. and Tech.
Ruilei Zhang
Nanjing Univ. of Scie. and Tech.
Qingwei Chen
Nanjing Univ. of Scie. and Tech.
11:40-12:00
MonB08-5
Block-Guided Theta* Path Planning Algorithm
Zi Yang
East China Normal Univ.
Wensheng Yu
East China Normal Univ.
12:00-12:20
MonB08-6
The Review and Implementation of Multi-robot System Simulation
Software
Ruilei Zhang
Nanjing Univ.of Scie. and Tech.
Yiping Zou
Nanjing Univ.of Scie. and Tech.
Zhihao Xu
Nanjing Univ.of Scie. and Tech.
Qingwei Chen
Nanjing Univ.of Scie. and Tech.
MonB09
Room10A
Modeling, control and simulations of biological systems (I)
Chair: Huan Geng
CO-Chair: Chao Liu
10:20-12:20
Northeastern Univ.
Northeastern Univ.
10:20-10:40
MonB09-1
Dynamical Analysis of a Differential-Algebraic Bioeconomic Model
with Stage Structure and Maturation Delay
Chao Liu
Northeastern Univ.
Yuanke Li
Northeastern Univ. at Qinhuangdao
Can Tong
Northeastern Univ. at Qinhuangdao
10:40-11:00
MonB09-2
Fast 3D Skeleton Extraction of Airways and Applications to Virtual
Bronchoscopy
Huan Geng
Northeastern Univ.
Jinzhu Yang
Northeastern Univ.
Wenjun Tan
Northeastern Univ.
Yuliang Yuan
Northeastern Univ.
Fangfang Han
Northeastern Univ.
Dazhe Zhao
Northeastern Univ.
11:00-11:20
MonB09-3
The analysis of the associated Shannon entropy on the populations
with homologous genotypes mating and homologous phenotypes
mating
Hongyan Zhang
Heilongjiang Bayi Agricultural Univ.
Hongli Zhang
Heilongjiang Bayi Agricultural Univ.
11:20-11:40
MonB09-4
Target Detection Based on a Model of Visual Attention for UAV
Geng Wang
Northwestern Polytechnical Univ.
11:40-12:00
MonB09-5
Finite Element Analysis model of wheat Lodging Resistance
Qicheng Xu
Shenyang Jianzhu Univ.
Zhen Yuan
Shenyang Jianzhu Univ.
Changchun Sun
Shenyang Jianzhu Univ.
12:00-12:20
MonB09-6
Mechanical model of wheat and analysis of root lodging
Qicheng Xu
Shenyang Jianzhu Univ.
Changchun Sun
Shenyang Jianzhu Univ.
Zhen Yuan
Shenyang Jianzhu Univ.
MonB10
Traffic control
Chair: Chuang Guo
CO-Chair: Rui Chai
Room10B
10:20-12:20
Beijing Univ. of Tech.
Beijing Institute of Tech.
10:20-10:40
MonB10-1
Robot Fish Detection Based on a Combination Method of
Three-Frame-Difference and Background Subtraction
Yongtian Lan
Qingdao Univ.
Zhijian Ji
Qingdao Univ.
Junwei Gao
Qingdao Univ.
Yaowei Wang
Qingdao Univ.
10:40-11:00
MonB10-2
Research of Cross-Correlation Tracking Algorithm Based on Variabl
Template
Huiying Dong
Shenyang Ligong Univ.
60
2014CCDC
Shenyang Ligong Univ.
Shenyang Ligong Univ.
Shenyang Ligong Univ.
Tengguang Jiang
Yanjie Cai
Qifu Zhang
11:00-11:20
MonB10-3
Changing Lane Probability Estimating Model Based on Neural
Network
Jianqun Wang
Beijing Institute of Tech.
Rui Chai
Beijing Institute of Tech.
Qingyang Wu
Beijing Institute of Tech.
11:20-11:40
MonB10-4
A Route-Choice Method Based on Zone Traffic Signal Coordination
Control
Xiaoqing Ding
Beijing Jiaotong Univ.
Honghui Dong
Beijing Jiaotong Univ.
Shihong Huang
Beijing Jiaotong Univ.
11:40-12:00
MonB10-5
On Optimization of Highway Electrical Equipment Maintenance
Investment
Zhigang Shi
RIOH Ministry of Transport
Xiujun Yang
RIOH Ministry of Transport
Zhenwei Chen
RIOH Ministry of Transport
12:00-12:20
MonB10-6
Leader-follower and cascade system based formation control of
nonholonomic intelligent vehicles
Chuang Guo
Beijing Univ. of Tech.
Jiali Qin
Beijing Univ. of Tech.
Yanrong Ge
Beijing Univ. of Tech.
Hebei Normal Univ.
Yangzhou Chen
Beijing Univ. of Tech.
MonB11
Computer Games(Invited Session)-II
Chair: Xinhe Xu
CO-Chair:
Room11B
10:20-12:20
Northeastern Univ.
10:20-10:40
MonB11-1
The Design and Optimization of Connect6 Computer Game System
Chang Liu
University of Science & Technology Beijing
Bingke Wu
University of Science & Technology Beijing
Sichen Wu
University of Science & Technology Beijing
10:40-11:00
MonB11-2
Applying Determinized MCTS in Chinese Military Chess
Chenjun Xiao
Northeastern Univ.
Tan Zhu
Northeastern Univ.
Chao Lin
Northeastern Univ.
Xinhe Xu
Northeastern Univ.
Jiao Wang
Northeastern Univ.
11:00-11:20
MonB11-3
Analysis of Search Algorithm in Computer Game of Amazons
Qiu Hongkun
Shenyang Aerospace University
Zhang Peng
Shenyang Aerospace University
Wang Yajie
Shenyang Aerospace University
Wu Jiehong
Shenyang Aerospace University
Li Fei
Shenyang Aerospace University
11:20-11:40
The Computer Game Model of Dou Dizhu
Xian Mei
Harbin University of
Dianlong Zhang
Harbin University of
Deqiang Sun
Harbin University of
Boya Zhang
Harbin University of
Shijin Du
Harbin University of
Hongbo Zhang
Harbin University of
11:40-12:00
The Overview of Aircraft Landing
Virtual Prototype Technology
Li Fu
Chao ran Yang
Dong zheng Wang
Wei Hu
MonB11-4
Science
Science
Science
Science
Science
Science
and
and
and
and
and
and
Technology
Technology
Technology
Technology
Technology
Technology
MonB11-5
Gear Co-Simulation Based on
Shenyang Aerospace University
Shenyang Aerospace University
Dalian University of Technology
Shenyang Aerospace University
12:00-12:20
MonB11-6
A New Storage Structure Design of Surakarta Chess Based on
Location
Yicong Zhang
Shandong University
Technical Programmes
MonBIS
Interactive Session
The lobby of the 4th floor
10:20-12:20
MonBIS-01
3D Chinese Mouth Animation with Adaptive Encoding
Haitao Yu
Chinese Academy of Scie.
Shuiying Ge
Chinese Academy of Scie.
MonBIS-02
Dynamic Tracking of Ceramic Ring Detection System Based on
Image Processing
Yuxue Liu
Shanghai Jiao Tong Univ.
Linji Lu
Shanghai Jiao Tong Univ.
MonBIS-03
Online Object Tracking Based On Sparse Subspace Representation
Baoyun Wang
Nanjing Univ. of Posts and Telecommunications
Fei Chen
Nanjing Univ. of Posts and Telecommunications
Ping Deng
Nanjing Univ. of Posts and Telecommunications
MonBIS-04
Three-Dimensional Path Planning for UAV Based on Improved PSO
Algorithm
Qiang Wang
Northwestern Polytechnical Univ.
An Zhang
Northwestern Polytechnical Univ.
Linghui Qi
Northwestern Polytechnical Univ.
MonBIS-05
Visual T racking Based on Local Patches
Baoyun Wang
Nanjing Univ.Of Posts And Telecommunications
Lei Zhou
Nanjing Univ.Of Posts And Telecommunications
Ping Deng
Nanjing Univ.Of Posts And Telecommunications
MonBIS-06
A Recognition Method of Plate Shape Defect Based on
Neural Network Optimized by Genetic Algorithm
Xiaohua Li
Univ. of Scie. and Tech.
Tao Zhang
Univ. of Scie. and Tech.
Zhe Deng
Univ. of Scie. and Tech.
Jing Wang
Univ. of Scie. and Tech.
RBF-BP
Liaoning
Liaoning
Liaoning
Liaoning
MonBIS-07
Urban Water Demand Forecasting by LS-SVM with Tuning based on
Elitist Teaching-Learning-based Optimization
Gang Ji
Shanghai Jiao Tong Univ.
Jingcheng Wang
Shanghai Jiao Tong Univ.
Yang Ge
Shanghai Jiao Tong Univ.
Huajiang Liu
Shanghai Jiao Tong Univ.
MonBIS-08
A Khmer Named Entity Recognition method by
characteristics
Huashan Pan
Kunming Unive.
Xin Yan
Kunming Unive.
Zhengtao Yu
Kunming Unive.
Jianyi Guo
Kunming Unive.
fusing language
of
of
of
of
Scie.and
Scie.and
Scie.and
Scie.and
Tech.
Tech.
Tech.
Tech.
MonBIS-09
BTP Prediction of Sintering Process by Using Multiple Models
Jialin Wang
Univ. of Scie. and Tech. Beijing
Xiaoli Li
Univ. of Scie. and Tech. Beijing
Yang Li
Communication Univ. of China
Kang Wang
Univ. of Scie. and Tech. Beijing
MonBIS-10
Study on the Plant-Wide Modeling ofGold Hydrometallurgical
Process
Qingyun Yuan
Northestern Univ.
Fuli Wang
Northestern Univ.
Dakuo He
Northestern Univ.
Runda Jia
Northestern Univ.
Cong Wang
China Petroleum Liaohe Equipment Company
MonBIS-11
Simulation Based Correlation Analysis on Performance Issues of
Semiconductor Wafer Fabrication Facilities
Xingwei Pan
Tongji Univ.
Tongji Univ.
Li Li
Zhongbo Chen
Tongji Univ.
Pengde Jia
Tongji Univ.
2014CCDC
A Study on the Effect of Water Vapor Condensation on the
Stratospheric Airship Ascending Process
Zhenzhen Li
Xiamen Univ.
Xiaomin Wang
Xiamen Univ.
Xianwu Lin
Xiamen Univ.
MonBIS-13
Dynamic Soft Sensor Modeling Based on State Detection and
Impulses Response Template
Zhi Fan
Lanzhou Univ.of Tech.
Jie Cao
Lanzhou Univ.of Tech.
Yujie Wei
Tsinghua Univ.
MonBIS-14
Research on the Separation Process Model of Pressure Swing
Adsorption for CO2/N2with Zeolite Molecular Sieve
Liying Liu
Northeastern Univ.
Tao Du
Northeastern Univ.
Xin Fang
Northeastern Univ.
Shuai Che
Northeastern Univ.
Wenjun Tan
Northeastern Univ.
MonBIS-15
Modeling and Simulation for Boiler Combustion Control System of
1000MW Ultra-Supercritical Unit
Guolian Hou
North China Electric Power Univ.
Pengcheng Jiang
North China Electric Power Univ.
Xiaobin Zheng
North China Electric Power Univ.
Jianhua Zhang
North China Electric Power Univ.
MonBIS-16
The Battlefield Environment of Two-Dimensional Posture Display
Based on UML
Yuncheng Wang
Information Engineering Univ.
Shanming Wu
Information Engineering Univ.
Zhifang Ding
Information Engineering Univ.
Chunhua Zhou
Information Engineering Univ.
Chuxiang Chen
Information Engineering Univ.
MonBIS-17
The Research and Design of 3D Web Guide System Based on
WebGL
Peng Cui
Eastern Liaoning Univ.
MonBIS-18
Multi-fingerprints Joint Indoor Positioning Algorithm in WLAN
based on Kalman Filter and Database of Partitioned AP ID
Huiqing Zhang
Beijing Univ.of Tech.
Jianbo Xu
Beijing Univ.of Tech.
Jingli Zhang
Beijing Univ.of Tech.
MonBIS-19
The Design and Implementation of a guard against theft and alarm
system with embedded telephone access and KEELOQ technique
Xu Yang
Shenyang Aerospace Univ.
Shun Li
Shenyang Radio and Television Univ.
MonBIS-20
Design
and
implementation
electrocardiograph
Nankai Chen
Yaonan Wang
Xiaoqing Lu
61
a
portable
MonBIS-21
Architectures for Train Condition Monitoring Network
Yin Tian
Beijing
Honghui Dong
Beijing
Limin Jia
Beijing
Yong Qin
Beijing
Xianpeng Xia
Beijing
intelligent
Hunan Univ.
Hunan Univ.
Hunan Univ.
Jiaotong
Jiaotong
Jiaotong
Jiaotong
Jiaotong
Univ.
Univ.
Univ.
Univ.
Univ.
MonBIS-22
A Survey on the Node Failure Handling of P2P Networks
Jia Ge
Kunming Univ. of Scie. and Tech.
Xiaodong Fu
Kunming Univ. of Scie. and Tech.
Yunnan Provincial Key Lab of Computer Application
Tianyu Gao
Kunming Univ. of Scie. and Tech.
Binbin Chen
Kunming Univ. of Scie. and Tech.
Hongbo Fan
Kunming Univ. of Scie. and Tech.
MonBIS-23
MonBIS-12
of
Technical Programmes
Distributed Malware Detection based on Binary File Features in
Cloud Computing Environment
Xiaoguang Han
Univ. of Scie. & Tech. Beijing
Jigang Sun
Daqing Oil Field Company
Wu Qu
Tsinghua Univ.
Beijing Venustech Cybervision Co. Ltd.
Xuanxia Yao
Univ. of Scie. & Tech. Beijing
MonBIS-24
Evolution of Planning and Scheduling for Steel Plants Based on
Simulation-based Optimization
Bin Wang
Univ. of Scie. and Tech. Beijing
Qing Liu
Univ. of Scie. and Tech. Beijing
Bao Wang
Univ. of Scie. and Tech. Beijing
Feiming Xie
Fangda Special Steel Technology Co., Ltd.
Xinchun Lu
Univ. of Scie. and Tech. Beijing
Fangda Special Steel Technology Co., Ltd.
MonBIS-25
A QoS-based Scheduling Algorithm
Workflows in Cloud Environment
Huifang Li
Siyuan Ge
Lu Zhang
for
Instance-intensive
Beijing Institute of Tech.
Beijing Institute of Tech.
Beijing Institute of Tech.
MonBIS-26
Dealing with Vehicle Routing Problem under Multi-Objective Using
Improved Genetic Algorithm
Hui Liu
Chongqing Univ.
Yongduan Song
Chongqing Univ.
MonBIS-27
Research on ESNI Algorithm for Image Recognition of Boiler Water
Level Gauge
Ziyu Liu
Kunming Univ. of Scie. and Tech.
Changsheng Zhang
Kunming Univ. of Scie. and Tech.
Bin Sun
Kunming Univ. of Scie. and Tech.
Bin Qian
Kunming Univ. of Scie. and Tech.
Haiyong Tian
Shu Ye Technology Co.Ltd
Hanping Zhang
Kunming Univ. of Scie. and Tech.
MonBIS-28
Research and Application of Embedded Technology in
Network Monitoring System of Coal Mine
Xiaodong Zhang
Wuhan Univ.
Henan Univ.
Yuegang Tan
Wuhan Univ.
Yan Hou
Henan Univ.
Remote
of
of
of
of
Tech.
Tech.
Tech.
Tech.
MonBIS-29
Intelligent system for monitoring and controlling of the Grain
condition based on ARM9
Qidi Zhao
Shenyang Ligong Univ.
Yanju Liu
Shenyang Ligong Univ.
Yang Yu
Shenyang Ligong Univ.
Jianhui Song
Shenyang Ligong Univ.
Guang Zhou
Shenyang Ligong Univ.
MonBIS-30
Calibration and Error Compensation of Magnetometer
Zhiping Liu
Xi’an Tech. Univ.
Mingjing Zhu
Xi’an Tech. Univ.
MonBIS31
Design of the Power Supply for the Pulsed Electric Current Sintering
Jiangtao Shi
Huazhong Univ. of Scie. and Tech.
Lei Yao
Huazhong Univ. of Scie. and Tech.
Binbin Ni
Huazhong Univ. of Scie. and Tech.
Qi Chen
Huazhong Univ. of Scie. and Tech.
Jianfeng Xie
Huazhong Univ. of Scie. and Tech.
Xiaotao Han
Huazhong Univ. of Scie. and Tech.
MonBIS-32
Design of Particle Velocity Measurement System Based on Spatial
Filtering Effect of Capacitive Sensor
Daoqing Shen
Northeastern Univ.
Gang Yang
Northeastern Univ.
Yutao Wang
Northeastern Univ.
Tingting Guo
Northeastern Univ.
MonBIS-33
Modeling and Analysis ofPermanent Magnetic Driver with Notched
Conductive Plate
62
Qingzhong Gao
Sheng Lin
Fu Chen
2014CCDC
Shenyang Institute of Engineering
Shenyang Institute of Engineering
North China Electric Power Univ.
MonBIS-34
Integration Framework with Semantic Aspect of Heterogeneous
System Based on Ontology and ESB
Ke Shi
Beihang Univ.
Feng Gao
Beihang Univ.
Qing Xu
Beihang Univ.
Guoyan Xu
Beihang Univ.
MonBIS-35
Researches on Manufacturing Cloud Service Composition &
Optimization Approach Supporting for Service Statistic Correlation
Huifang Li
Beijing Institute of Tech.
Rui Jiang
Beijing Institute of Tech.
Siyuan Ge
Beijing Institute of Tech.
MonBIS-36
Study of Manufacturing Cloud Service Matching Algorithm Based
on OWL-S
Huifang Li
Beijing Institute of Tech.
Lu Zhang
Beijing Institute of Tech.
Rui Jiang
Beijing Institute of Tech.
MonBIS-37
Context-Aware Workflow Modeling Approach Using OWL
Pengfei Wang
Beijing Institute of Tech.
uifang Li
Beijing Institute of Tech.
Baihai Zhang
Beijing Institute of Tech.
MonBIS-38
The Balance Control of Two-wheeled Robot Based on Bionic
Learning Algorithm
Hongge Ren
Hebei United Univ.
Zhilong Wang
Hebei United Univ.
Fujin Li
Hebei United Univ.
Meijie Huo
Hebei United Univ.
MonBIS-39
Forward Position solution of 3-RPS in-Parallel Manipulator Based
on Particle Swarm Optimization
Hongli Zhang
Xinjiang Univ.
Tiantian Ren
Xinjiang Univ.
Pazilai.Mahemuti
Xinjiang Univ.
MonBIS-40
Analysis on Two Modeling Results of Modular Self-Reconfigurable
Robots
Wenting Yuan
Hangzhou Dianzi Univ.
Qiuxuan Wu
Hangzhou Dianzi Univ.
Bichuan Liu
Hangzhou Dianzi Univ.
MonBIS-41
Virtual reality simulator for the EAST blanket remote handing
system
Xing Su
Shanghai Jiao Tong Univ.
Junguo Lu
Shanghai Jiao Tong Univ.
MonBIS -42
Embedded Control System Design
Bionic Quadruped Robot
Peng Wang
Nanjing Univ.
Zhiwei Yu
Nanjing Univ.
Cheng Zhou
Zhendong Dai
Nanjing Univ.
and Experimental Analysis of
of Aeronautics and Astronautics
of Aeronautics and Astronautics
Huawei Technologies Co Ltd
of Aeronautics and Astronautics
MonBIS-43
High Efficient Walking of Compass-like Biped Robots with
Rotation
Zidong Wang
Zhejiang
Gangfeng Yan
Zhejiang
Chong Tang
Zhejiang
Zhiyun Lin
Zhejiang
Foot
Univ.
Univ.
Univ.
Univ.
MonBIS-44
Coordinated Attitude Control for Tethered Space Robot
Xiudong Xu
Northwestern Polytechnical Univ.
Panfeng Huang
Northwestern Polytechnical Univ.
Jun Ma
Northwestern Polytechnical Univ.
Bingzong Xu
Jian’an Rear Axle Automobile Co. Ltd
Technical Programmes
MonBIS-45
Attitude Control of Coaxial Tri-rotor UAV Based on
State Observer
Zhimin Chen
Beijing
Zhihong Peng
Beijing
Fan Zhang
Beijing
Linear Extended
Institute of Tech.
Institute of Tech.
Institute of Tech.
MonBIS-46
Transition Flight Control Using Adaptive Neutral Network Dynamic
Inversion for Canard Rotor/Wing UAV
Wendong Gai
Shandong Univ. of Scie. and Tech.
Jing Zhang
Shandong Univ. of Scie. and Tech.
Liangsong Huang
Shandong Univ. of Scie. and Tech.
Yuxia Li
Shandong Univ. of Scie. and Tech.
MonBIS-47
Formation Control of Multiple
Leader-Follower Approach
Tao Peng
Shan Li
Wheeled
Mobile
Robots
via
Chongqing Univ. of Tech.
Chongqing Univ. of Tech.
MonBIS-48
Control Strategy Design for Smart Car Auto-tracing with Visual
Hui Zhang
Inner Mongolia Univ.
Yongxin Liu
Inner Mongolia Univ.
MonC01
Room11A
Complex networks and systems (III)
13:20-15:20
Chair: Zhiwei Liu
Wuhan Univ.
CO-Chair: Dingjuan Wu
South China University of Tech.
13:20-13:40
MonC01-1
A Study on the Evolution Model of the Integration of Informatization
and Industrialization
Dingjuan Wu
South China University of Tech.
Yanming Sun
South China University of Tech.
13:40-14:00
MonC01-2
Stabilizability of a class of linear singularly perturbed systems via
output feedback
Hongwang Yu
Nanjing Audit Univ.
Baoshang Zhang
Nanjing Audit Univ.
14:00-14:20
MonC01-3
Negative Imaginary Balancing for Mode Reduction of LTI Negative
Imaginary Systems
Kun Tu
Shanghai Univ.
Xin Du
Shanghai Univ.
Peibing Fan
Shanghai Univ.
14:20-14:40
MonC01-4
Impulsive Synchronization for Uncertain Delayed Complex
Dynamica Networks with Minimal Coupling Strength
Wuhua Chen
Guangxi Univ.
Zhiyong Jiang
Guangxi Univ.
Jiacheng Zhong
Guangxi Univ.
Xiaomei Lu
Guangxi Univ.
14:40-15:00
MonC01-5
Containment Control for Second-order Multi-agent Systems via
Impulsive Algorithms Using Position-only Measurements
Hong Zhou
Wuhan Univ.
Zhenhua Wang
Wuhan Univ.
Wei Li
Wuhan Univ.
Kuo Feng
Wuhan Univ.
Zhiwei Liu
Wuhan Univ.
15:00-15:20
MonC01-6
Projective Synchronization of Two Time-delay Impulsive Coupling
Complex Networks
Hong Zhou
Wuhan Univ.
Wei Li
Wuhan Univ.
Yuzhen Qin
Wuhan Univ.
Kuo Feng
Wuhan Univ.
Zhiwei Liu
Wuhan Univ.
MonC02
Identification and estimation (III)
Chair: Yingwei Zhang
CO-Chair: Tianhong Pan
13:20-13:40
PLS-Based Fault-Relevant Reconstruction
Room6A
13:20-15:20
Northeastern Univ.
Jiangsu Univ.
MonC02-1
63
Yingwei Zhang
Nan Tang
2014CCDC
Northeastern Univ.
Northeastern Univ.
13:40-14:00
MonC02-2
Fuzzy Identification Base on Cat Swarm Optimization Algorithm
Xu Sun
East China Jiaotong Univ.
Xuesong Xu
East China Jiaotong Univ.
14:00-14:20
MonC02-3
Application of Nonlinear System Identification in Servo System
Modeling
Lei Xi
South China Univ. of Tech.
Tao Yu
South China Univ. of Tech.
Xuanyu Qiu
South China Univ. of Tech.
14:20-14:40
MonC02-4
Multi-asset Allocation Based on Financial Market Microstructure
Model
Yemei Qin
Central South Univ.
Hunan Engineering Laboratory for Advanced
Control and Intelligent Automation
Swan College of Central South Univ. of Fore
stry and Tech.
Hui Peng
Central South Univ.
Collaborative Innovation Center of Resource-c
onserving & Environment-friendly Society and
Ecological Civilization
Hunan Engineering Laboratory for Advanced
Control and Intelligent Automation
Yanhui Xi
Changsha Univ. of Scie. and Tech.
Xiaohong Chen
Central South Univ.
14:40-15:00
MonC02-5
Study on Operation Energy Efficiency Model of Chiller Based on
SVR
Junwei Yan
South China Univ. of Tech.
City Air-conditioning Energy Conservation and
Control Project Technology Research Exploit
ation Center of Guangdong
Yu Zhou
South China Univ. of Tech.
City Air-conditioning Energy Conservation and
Control Project Technology Research Exploit
ation Center of Guangdong
Xuan Zhou
South China Univ. of Tech.
City Air-conditioning Energy Conservation and
Control Project Technology Research Exploit
ation Center of Guangdong
15:00-15:20
MonC02-6
Statistical Model Identification for Cogeneration System using
Statistical Analysis
Tianhong Pan
Jiangsu Univ.
Yanqing Han
Jiangsu Univ.
DongliangXu
Jiangsu Univ.
MonC03
Intelligent systems (III)
Chair: Maopeng Ran
CO-Chair: JianHua Zhang
Room7A
13:20-15:20
Beihang Univ.
East China Univ. of Scie. and Tech.
13:20-13:40
MonC03-1
A Dynamic Search Space Particle Swarm Optimization Algorithm
Based on Population Entropy
Maopeng Ran
Beihang Univ.
Qing Wang
Beihang Univ.
Chaoyang Dong
Beihang Univ.
13:40-14:00
MonC03-2
Application of Differential Evolution Optimization based Gaussian
Mixture Models to Speaker Recognition
Hong Zhou
East China Univ. of Scie. and Tech.
JianHua Zhang
East China Univ. of Scie. and Tech.
14:00-14:20
MonC03-3
Path Tracking Controller Design for Intelligent Vehicle in Non-single
Straight Road Conditions
Dehao Han
Shanxi Univ.
Lei Li
Shanxi Univ.
Xinchun Jia
Shanxi Univ.
Bo Yang
Shanxi Univ.
14:20-14:40
MonC03-4
Relevance Model Based Image Segmentation
Sonhao Zhu
Nanjing Univ. of Post and Telecommunications;
Technical Programmes
Yangzhou Suan IOT Sensor Tech. Co., Ltd.
Nanjing Univ. of Post and Telecommunications
Nanjing Univ. of Post and Telecommunications
Yangzhou Suan IOT Sensor Tech. Co., Ltd.;
Huaiyin Inst. of Tech.
Jiawei Liu
Qingqing Luo
Ronglin Hu
14:40-15:00
MonC03-5
A Novel Approach for Image Classification
Sonhao Zhu
Nanjing Univ. of Post and Telecommunications;
Yangzhou Suan IOT Sensor Tech. Co., Ltd.
Jiawei Liu
Nanjing Univ. of Post and Telecommunications
Ronglin Hu
Yangzhou Suan IOT Sensor Tech. Co., Ltd.;
Huaiyin Inst. of Tech.
15:00-15:20
MonC03-6
The Design and Simulation of Traffic Monitoring System Based on
RFID
Xinyun Qiu
Northeastern Univ. at Qinhuangdao
Xiao Xiao
Northeastern Univ. at Qinhuangdao
MonC04
Stochastic systems
Chair: Guojia Li
CO-Chair: Na Duan
Room7B
13:20-15:20
Northeastern Univ.
Jiangsu Normal Univ.
13:20-13:40
MonC04-1
Design and Simulation on RFID-Enabled Hybrid Pull/Push Control
Strategy for Multi-Echelon Inventory of Supply Chain
Guojia Li
Northeastern Univ.
Dingwei Wang
Northeastern Univ.
13:40-14:00
MonC04-2
Output-Feedback Control for More General Class of Stochastic
Nonlinear SystemsWith SiISS Inverse Dynamics
Huifang Min
Jiangsu Normal Univ.
Na Duan
Jiangsu Normal Univ.
14:00-14:20
MonC04-3
An Approach of Bayesian Filtering for Stochastic Boolean Dynamic
Systems
Hongbin Ma
Beijing Inst. of Tech.
Dong Wang
Beijing Inst. of Tech.
Hongsheng Qi
Beijing Inst. of Tech.
Mengyin Fu
Beijing Inst. of Tech.
14:20-14:40
MonC04-4
Output-feedback stabilization for large-scale stochastic nonlinear
systems with unknown control coefficients
Fang Liu
Binzhou Medical Univ.
Wuquan Li
Ludong Univ.
14:40-15:00
MonC04-5
Stochastic stability of Boolean networks with Markov jump
Yunqi Zhao
Guizhou Univ.
Fei Long
Guizhou Inst. of Tech.
Guizhou Univ.
15:00-15:20
MonC04-6
Stochastic Stability of Discrete-time Markovian Jump Antilinear
Systems
Yang-Yang Qian
Harbin Inst. of Tech.
Ai-Guo Wu
Harbin Inst. of Tech.
Wanquan Liu
Curtin Univ.
MonC05
Room8A
Decision-making theory and method (V)
13:20-15:20
Chair: Guangming Li
National Univ. of Defense Tech.
CO-Chair: Honghua Wu
Univ. of Jinan
13:20-13:40
MonC05-1
Fuzzy Markov chains based on the fuzzy transition probability
Guangming Li
National Univ. of Defense Tech.
Baoxin Xiu
National Univ. of Defense Tech.
13:40-14:00
MonC05-2
The Relational Degree Model Based on Curvature and Application
Honghua Wu
Univ. of Jinan
Yong Mu
Univ. of Jinan
Lixia Deng
Jinan City Yanshan School
14:00-14:20
Air combat
information
game
method
based on
Multi-UAV
MonC05-3
consensus
64
Xia Chen
Yifei Wang
2014CCDC
Shenyang Aerospace Univ.
Shenyang Aerospace Univ.
14:20-14:40
MonC05-4
Multi-criteria Direct Clustering Method Based on Hesitant Fuzzy
Sets
Xiaokang Wang
Central South Univ.
14:40-15:00
MonC05-5
Linguistic aggregation operators under interval confidence levels
Xinfan Wang
Hunan Univ. of Tech.
Central South Univ.
Jianqiang Wang
Central South Univ.
Wu’e Yang
Central South Univ. of Forestry and Tech.
15:00-15:20
MonC05-6
Integrated Support Analysis of Military Aircraft Base on Fuzzy
Theory
Jianguo Cui
Shenyang Aerospace Univ.
Cheng Wang
Shenyang Aerospace Univ.
Yiwen Qi
Shenyang Aerospace Univ.
Fan Cui
Shenyang Aircraft Design & Research Institute
Liying Jiang
Shenyang Aerospace Univ.
MonC06
Signal processing (II)
Chair: Lei Xia
CO-Chair: Jianhui Xi
Room8B
13:20-15:20
Air Force Communications Officer
School in Dalian
Shenyang Aerospace Univ.
13:20-13:40
MonC06-1
Non-search Fractal Image Compression Algorithm Research
Shiping LI
Northeastern Univ.
Lei Xia
Air Force Communications Officer School in Dalian
13:40-14:00
MonC06-2
Research on Acoustic Emission Source Location Method Based on
Cross-Correlation Analysis without Measuring Sonic Speed
Jianhui Xi
Shenyang Aerospace Univ.
Baofeng Xiao
Shenyang Aerospace Univ.
Hongshan Ma
Shenyang Aerospace Univ.
14:00-14:20
MonC06-3
Research on Moving Target Detection Algorithm Based on MRA and
wvelet Threshold
Jingjing Wang
Kunming Univ. of Scie.and Tech.
Xiaodong Wang
Kunming Univ. of Scie.and Tech.,
and Engineering Research Center for Mineral
Pipeline Transportation of Yunnan
Jiande Wu
Kunming Univ. of Scie.and Tech.,
and Engineering Research Center for Mineral
Pipeline Transportation of Yunnan
Yugang Fan
Kunming Univ. of Scie.and Tech.,
and Engineering Research Center for Mineral
Pipeline Transportation of Yunnan
Guoyong Huang
Kunming Univ. of Scie.and Tech.,
and Engineering Research Center for Mineral
Pipeline Transportation of Yunnan
14:20-14:40
MonC06-4
Measurement Partition Algorithm based on Density Analysis and
Spectral Clustering for Multiple Extended Target Tracking
Jinlong Yang
Jiangnan Univ.
Fengmei Liu
Jiangnan Univ.
Hongwei Ge
Jiangnan Univ.
Yunhao Yuan
Jiangnan Univ.
14:40-15:00
MonC06-5
Image fusion based on constant parameters color transfer in linear
color space
Weixing Li
Beijing Institute of Tech.
Yating Xiao
Beijing Institute of Tech.
Feng Pan
Beijing Institute of Tech.
Qi Gao
Beijing Institute of Tech.
15:00-15:20
MonC06-6
Ear Recognition Based on Weighted Wavelet Transform and DCT
Ying Tian
Univ. of Scie. and Tech. LiaoNing
Debin Zhang
Univ. of Scie. and Tech. LiaoNing
Baihuan Zhang
Univ. of Scie. and Tech. LiaoNing
MonC07
Control applications (V)
Chair: Ming Xu
Room9A
13:20-15:20
Beijing Univ. of Aeronautics and Astron
Technical Programmes
CO-Chair: Deying Gu
autics
Northeastern Univ.at Qinhuangdao
Mei Zhang
13:20-13:40
MonC07-1
Drag-Free Controller Design of the Ultra-low-orbital Flight
Wei Yan
Beijing Univ. of Aeronautics and Astronautics
Ming Xu
Beijing Univ. of Aeronautics and Astronautics
Shanshan Du
DFH Satellite Co.Ltd.
13:40-14:00
MonC07-2
The application of fuzzy predictive control to temperature Control of
Electric Heating oil furnace
Deying Gu
Northeastern Univ.at Qinhuangdao
Liangchao Ren
Northeastern Univ.at Qinhuangdao
14:00-14:20
MonC07-3
The Research of Control Algorithm and Topology for High Voltage
Frequency Converter Based on Modular Multilevel Converter
Zheng Zheng
Henan Polytechnic Univ.
Can Cui
Henan Polytechnic Univ.
14:20-14:40
MonC07-4
Software implementation of Autonomous Orbital Control for
Formation Flying
Ming Xu
Beihang Univ.
Shanshan Du
Beihang Univ.
Kai Yu
Beijing Aerospace Times Laser Navigation
Tech.Co.Ltd.
14:40-15:00
MonC07-5
Traction/Braking Control Design for High Speed Trains Based on
Force Estimation- An More Implementable Approach
Wenhao Liao
Beijing Jiaotong Univ.
Yongduan Song
Beijing Jiaotong Univ.
Chongqing Univ.
Wenchuan Cai
Beijing Jiaotong Univ.
15:00-15:20
MonC07-6
GeneralizedPredictive Controlof Three-phase Electric Arc Furnace
Ping Guan
Beijing Information Scie.and Tech.Univ.
Xiaohe Liu
Beijing Information Scie.and Tech.Univ.
Yuezhao Gao
Beijing Information Scie.and Tech.Univ.
MonC08
Planning, scheduling and coordination (II)
Chair: Huangang Wang
CO-Chair: Xun Xiao
Room9B
13:20-15:20
Tsinghua Univ.
Xi’an Jiaotong Univ.
13:20-13:40
MonC08-1
Cyclic Scheduling of Cluster Tools with Equipment Front-End
Module and Multifunctional Load Locks
Hao Wang
Tsinghua Univ.
Huangang Wang
Tsinghua Univ.
Wenli Xu
Tsinghua Univ.
13:40-14:00
MonC08-2
Aggregated Hydro Unit Based Model for Short-term Hydro
Generation Scheduling
Qiaozhu Zhai
Xi’an Jiaotong Univ.
Xun Xiao
Xi’an Jiaotong Univ.
Xuan Li
Xi’an Jiaotong Univ.
14:00-14:20
MonC08-3
Fast Iterated Local Search Algorithm with High Order Neighborhood
for No-wait Flowshop Scheduling Problem
Chuyang Wang
Zhengzhou Institute of Aeronautical Industry
Management
14:20-14:40
MonC08-4
Genetic Algorithm Based Scheduling Model of Continuous Casting
Crystallizer Copper Electroplating
Zhen Zhao
Qingdao Univ. of Scie. & Tech.
Haihong Wang
Qingdao Univ. of Scie. & Tech.
Naiping Hu
Qingdao Univ. of Scie. & Tech.
14:40-15:00
MonC08-5
Research on PN-based Scheduling Stability for Reentrant Medical
Testing System
Wanyi Dai
South China Univ. of Tech.
Engineering Research Centre for Precision
Electronic Manufacturing Equipments of Ministry
Weidong Liu
South China Univ. of Tech.
65
Yueming Hu
2014CCDC
Engineering Research Centre for Precision
Electronic Manufacturing Equipments of Ministry
South China Univ. of Tech.
Engineering Research Centre for Precision
Electronic Manufacturing Equipments of Ministry
South China Univ. of Tech.
Engineering Research Centre for Precision
Electronic Manufacturing Equipments of Ministry
15:00-15:20
MonC08-6
An MILP Approach for a Profit-Based Unit Commitment Problem
with Emissions Penalty
Ping Che
Northeastern Univ.
Gang Shi
China Mobile Group Liaoning Company
MonC09
Room10A
Modeling, control and simulations of biological systems (II)
Chair: Lingxiao Geng
CO-Chair: Chao Liu
13:20-15:20
Beijing Univ. of Tech.
Northeastern Univ.
13:20-13:40
MonC09-1
Support vector machine dynamic modeling method and its
application in the fermentation process
Lingxiao Geng
Beijing Univ. of Tech.
Xuejin Gao
Beijing Univ. of Tech.
13:40-14:00
MonC09-2
Global Stability Analysis and Optimal Taxation Control for a
Harvested Prey Predator System with Prey Refuge
Chao Liu
Northeastern Univ.
Jingmei Guo
Northeastern Univ.
14:00-14:20
MonC09-3
Rapid Compositional Analysis of Sawdust using Sparse Methodand
Near Infrared Spectroscopy
Changyue Wang
China Jiliang Univ.
Yan Yao
China Jiliang Univ.
Huijun Liu
China Jiliang Univ.
Jingjun Wang
China Jiliang Univ.
14:20-14:40
MonC09-4
Leaf shape polymorphism and its relationship to other
characteristics of wild soybean (Glycine soja) in China
Xuefei Yan
Shenyang Agricultural Univ.
Wei Guo
Shenyang Agricultural Univ.
Bei Sun
Shenyang Agricultural Univ.
Ling Zhang
Jilin Academy of Agricultural Scie.
Xiaodong Liu
Jilin Academy of Agricultural Scie.
Hongkun Zhao
Jilin Academy of Agricultural Scie.
Min Gao
Agricultural Tech. Promotion Center
Jiandong Li
Shenyang Agricultural Univ.
14:40-15:00
MonC09-5
Asymptotical Behavior of Parameter Estimation in Prediction Error
Framework
Caiyun Chen
Harbin Institute of Tech.
Zhibin Yan
Harbin Institute of Tech.
15:00-15:20
MonC09-6
Stage-based Variable Sampling Period Modeling and On-line
Monitoring Strategy for Uneven-length Batch Processes
Yajun Wang
Northeastern Univ.
Liaoning Univ. of Tech.
Zhizhong Mao
Northeastern Univ.
Mingxing Jia
Northeastern Univ.
Jing Bai
Northeastern Univ.
Beihua Univ.
MonC10
Smart grids (II)
Chair: Zhongjing Ma
CO-Chair: Weisheng Xu
Room10B
13:20-15:20
Beijing Institute of Tech.
Tongji Univ.
13:20-13:40
MonC10-1
Short-time Voltage Variance Detection of Micro-grid with
Direct-drive Wind Power Generation
Jianping Zhou
Shanghai Univ. of Electric Power
Jianping Zhu
Shanghai Univ. of Electric Power
13:40-14:00
MonC10-2
An Adaptive Droop Voltage Control for DC Microgrid Systems
Zhongjing Ma
Beijing Institute of Tech.
Technical Programmes
Wencai Jiang
Beijing Institute of Tech.
14:00-14:20
MonC10-3
Study of the Reactive Power Control Strategy for Single-phase
Gird-connected Inverter
Fengfeng Li
Hangzhou Dianzi Univ.
Qiuxuan Wu
Hangzhou Dianzi Univ.
Yuesheng Wang
Hangzhou Dianzi Univ.
Yingjiao Xie
Hangzhou Dianzi Univ.
Leilei Cui
Hangzhou Dianzi Univ.
Yuhua Li
Hangzhou Dianzi Univ.
14:20-14:40
MonC10-4
A SPLL Technique under Unbalanced and Seriously Distorted Grid
Voltage Conditions
Cunlu Dang
Lanzhou Univ. of Tech.
Xiaogang Zhao
Lanzhou Univ. of Tech.
14:40-15:00
MonC10-5
Demand-Side Response of Smart Clients under Real-time Pricing
Weihui Shao
Tongji Univ.
Weisheng Xu
Tongji Univ.
Zhiyu Xu
Tongji Univ.
Zhengyang Zeng
Tongji Univ.
15:00-15:20
MonC10-6
Improved DV-Hop Localization Algorithm for Wireless Nodes in the
Smart Grid
Changyun Li
Hunan Univ. of Tech..
Peizhe Zhao
Hunan Univ. of Tech..
Yu Zeng
Hunan Univ. of Tech..
MonC11
Motion control (II)
Chair: Deying Gu
CO-Chair: Hua Chen
Room11B
13:20-15:20
Northeastern Univ.at Qinhuangdao
Hohai Univ.Changzhou Campus
13:20-13:40
MonC11-1
Speed control of BLDCM Based on Compensated Fuzzy Neural
Network
Deying Gu
Northeastern Univ.at Qinhuangdao
Jinquan Zhang
Northeastern Univ.at Qinhuangdao
13:40-14:00
Further Results of Semiglobal
Nonholonomic Mobile Robots
Hua Chen
Junfeng Chen
Yan Lei
Weixu Chen
Yawei Wang
Saturated
Hohai
Hohai
Hohai
Hohai
Hohai
MonC11-2
Stabilization for
Univ.Changzhou
Univ.Changzhou
Univ.Changzhou
Univ.Changzhou
Univ.Changzhou
Campus
Campus
Campus
Campus
Campus
14:00-14:20
MonC11-3
A Novel Control Method Based on Fuzzy Optimization Algorithm of
Ship Lateral Motion Control
Xiuyan Peng
Harbin Engineering Univ.
Shuli Jia
Harbin Engineering Univ.
Yakun Yu
Harbin Engineering Univ.
14:20-14:40
MonC11-4
On Sliding Mode Control of Permanent Magnet Synchronous Motor
Weijie Lin
Hangzhou Dianzi Univ.
Dongliang Liu
Hangzhou Dianzi Univ.
Qiuxuan Wu
Hangzhou Dianzi Univ.
Xiaodan Zhao
Hangzhou Dianzi Univ.
14:40-15:00
MonC11-5
Dynamic Modeling and Trajectory Tracking Control of Tunnel
Boring Machine
Huajiang Liu
Shanghai Jiaotong Univ.
Jingcheng Wang
Shanghai Jiaotong Univ.
Langwen Zhang
Shanghai Jiaotong Univ.
Ling Fei
Shanghai Jiaotong Univ.
Guanglei Zhao
Shanghai Jiaotong Univ.
15:00-15:20
MonC11-6
Control Method of Sensorless Brushless DC Motor Based on Neural
Network
Jinquan Zhang
Northeastern Univ.at Qinhuangdao
Deying Gu
Northeastern Univ.at Qinhuangdao
MonCIS
Interactive Session
The lobby of the 4th floor
13:20-15:20
66
2014CCDC
MonCIS-1
Cooperative Search Algorithm For AUVs Based On Bio-inspired
Model
Zhengwen Rui
Shanghai Maritime Univ.
Daqi Zhu
Shanghai Maritime Univ.
MonCIS-2
Real-time Rear of Vehicle Detection from a Moving Camera
Qing Xu
Beihang
Feng Gao
Beihang
Ke Shi
Beihang
Guoyan Xu
Beihang
Univ.
Univ.
Univ.
Univ.
MonCIS-3
A Method about State-Space Representation and Location
Estimation by Computational Geometry
Yi Zhang
Beijing Institute of Tech.
Mengyin Fu
Beijing Institute of Tech.
Meiling Wang
Beijing Institute of Tech.
MonCIS-4
Novel SLAM Algorithm for UGVs based BBO-CEPF
Kuifeng Su
Academy of Armored Force Engineering
Tianqing Chang
Academy of Armored Force Engineering
Lei Zhang
Academy of Armored Force Engineering
MonCIS-5
Optimal Line Feature Generation from Low-level Line Segments
under RANSAC Framework
Haifeng Li
Civil Aviation Univ. of China
Rong Chen
Passenger Marketing & Sales Committee,
Xiamen Airlines
MonCIS-6
A Collision Response Algorithm for 3D Virtual Reality Minimally
Invasive Surgery Simulator
Shaohua Mi
Chinese Academy of Scie.
Zengguang Hou
Chinese Academy of Scie.
Fan Yang
Chinese Academy of Scie.
Xiaoliang Xie
Chinese Academy of Scie.
Guibin Bian
Chinese Academy of Scie.
MonCIS-7
Tree Structures Segmentation of Coronary Arteries Using CURVES
Method for Interventional Surgical Simulation
Fan Yang
Chinese Academy of Scie.
Zengguang Hou
Chinese Academy of Scie.
Shaohua Mi
Chinese Academy of Scie.
Guibin Bian
Chinese Academy of Scie.
Xiaoliang Xie
Chinese Academy of Scie.
MonCIS-8
Design of Upper Extremity Motor Function Mirror Rehabilitation
System for Post-stroke Patients Based on FES
Xingang Zhao
Shenyang Institute of Automation
Chinese Academy of Scie.
Lipeng An
Northeastern Univ.
Dan Ye
Northeastern Univ.
MonCIS-9
Flexible Tip-Steerable Needle Control with Tissue Uncertainty
Xingang Zhao
Shenyang Institute of Automation
Chinese Academy of Scie.
Lingguo Kong
Northeastern Univ.
Dan Ye
Northeastern Univ.
Yiwen Zhao
Shenyang Institute of Automation
Chinese Academy of Scie.
Zhenwei Wu
Shenyang Institute of Automation
Chinese Academy of Scie.
MonCIS-10
Gaze Tracking System for Teleoperation
Mingxin Yu
Xiangzhou Wang
Yingzi Lin
Xiaoping Bai
Beijing Institute of
Beijing Institute of
Northeastern
Beijing Institute of
Tech.
Tech.
Univ.
Tech.
MonCIS-11
DIVA Model Based on the Constant Delay Mechanism
Song Feng
Nanjing Univ. of Posts and Telecommunications
Shaobai Zhang
Nanjing Univ. of Posts and Telecommunications
Technical Programmes
MonCIS-12
A Coordinated Control Strategy for Rotating Motion of the
Hub-Spoke Tethered Space Robot Formation System
Jun Ma
Northwestern Polytechnical University
Panfeng Huang
Northwestern Polytechnical University
Xiudong Xu
Northwestern Polytechnical University
MonCIS-13
Underwater Acoustic Source localization method based on TDOA
with Particle Filtering
Yaosong Xu
Liaoning Tech. Univ.
Dandan Wang
Liaoning Tech. Univ.
Hua Fu
Liaoning Tech. Univ.
MonCIS-14
Research of MCU-based Robot Fish with Caudal Fin
Yawei Qu
Harbin Institute of Tech.
Songlin Chen
Harbin Institute of Tech.
Jie Ma
Harbin Institute of Tech.
MonCIS-15
Studies on the Collaborative Mission Planning of Multiple Space
Robots Based on Multiple Agent Models
Zhihuan Wu
The Academy of Equipment
The Academy of Equipment 63883 Troops
Hang Yin
The Academy of Equipment
Hui Yan
The Academy of Equipment
Yongming Gao
The Academy of Equipment
MonCIS-16
Modeling and Control of Dynamic Network SIR Based on
Community Structure
Degang Xu
Central South Univ.
Xiyang Xu
Central South Univ.
MonCIS-17
Modeling of Dissolved Oxygen concentration in Activated Sludge
Process based on Generalized Dynamic Fuzzy Neural Networks
Yuge Xu
South China Univ. of Tech.
Yongtao Zhang
South China Univ. of Tech.
Meijin Lin
South China Univ. of Tech.
Fei Luo
South China Univ. of Tech.
MonCIS-18
Dynamics of a stochastic ratio-dependent Lslie system
Caifeng Fan
Nanchang Univ.
Zuoliang Xiong
Nanchang Univ.
Lifeng Wu
Nanchang Univ.
MonCIS-19
Enhancing the Effectiveness of Fungicides by Optimizing Their
Combinations
Xiang Wang
Shanghai Jiao Tong Univ.
Jia Ma
Shanghai Jiao Tong Univ.
Xiaowei Li
Shanghai Jiao Tong Univ.
Xiaodong Zhao
Shanghai Jiao Tong Univ.
Zongli Lin
Univ. of Virginia
Jie Chen
Shanghai Jiao Tong Univ.
Zhifeng Shao
Shanghai Jiao Tong Univ.
MonCIS-20
Evolution and Simulation Analysis on the Population of Han and
Minority groups in China
Xuezhong Wang
Heilongjiang Bayi Agricultural Univ.
Bin Guo
Heilongjiang Bayi Agricultural Univ.
Qingxiang Ji
Heilongjiang Bayi Agricultural Univ.
Jing Zhang
Heilongjiang Bayi Agricultural Univ.
Jinli He
Heilongjiang Bayi Agricultural Univ.
Hongli Zhang
Heilongjiang Bayi Agricultural Univ.
MonCIS-21
A multi-MEMS sensors information fusion algorithm
Jingwei Shi
NEC Labs China
Yongjie Zhou
Tsinghua Univ.
Haiyun Zhang
Tsinghua Univ.
Tao Zhang
Tsinghua Univ.
Leigang Wang
Tsinghua Univ.
Wei Ren
Tsinghua Univ.
Mengkai Luan
Tsinghua Univ.
Huifeng Liu
NEC Labs China
MonCIS-22
Mechanical Analysis and Control of a Novel Nanopositioner
67
zhiyuan Du
pengbo Liu
peng Yan
Zhen Zhang
2014CCDC
Shandong univ.
Shandong univ.
Shandong univ.
Beijing Univ. of Aeronautics & Astronautics
Tsinghua Univ.
MonCIS-23
Optimal Parameter for Permanent MagnetLinear
Using Load Disturbance Compensation
Zhitao Wu
Liaoning Univ. of
Jianying Xu
Liaoning Univ. of
Liancheng Zhu
Liaoning Univ. of
Servo System
Scie. and Tech.
Scie. and Tech.
Scie. and Tech.
MonCIS-24
Research on the space vector modulation method of three-phase
PWM rectifier
Shoutao Li
Jilin Univ.
Changchun Institute of Construction
Yabin Fu
Jilin Univ.
Army Aviation Institute of PLA
Wei Jiang
Jilin Univ.
Haiying Qi
Changchun Institute of Construction
MonCIS-25
Design and Simulation of a Novel Wireless Passive SAW Soil
Pressure Sensor
Xiaobo Wang
PLA Univ. of Scie. & Tech.
Liqiang Xie
PLA Univ. of Scie. & Tech.
Juelong Li
PLA Univ. of Scie. & Tech.
Research Center of Naval Defense Engineering
Jianchun Xing
PLA Univ. of Scie. & Tech.
Shuai Kang
PLA Univ. of Scie. & Tech.
MonCIS-26
Simulation of Ground Rheostatic Braking in Mid-to-low Speed
Maglev Train
Bang An
National Univ. of Defense Tech.
Sikai Liu
National Univ. of Defense Tech.
Shaoke Liu
National Univ. of Defense Tech.
MonCIS-27
Study on the Experiment of Ultracapacitor in HES for HEV
Qi Wang
Jiangsu Univ.
Yukun Sun
Nanjing institute of tech.
Yonghong Huang
Jiangsu Univ.
MonCIS-28
A New Control Scheme for 4WID Electric Vehicle Using DSP and
CPLD
Guohai Liu
Jiangsu Univ.
Xiaochun Xu
Jiangsu Univ.
Qian Chen
Jiangsu Univ.
Ying Xie
Jiangsu Univ.
MonCIS-29
Fault Diagnosis of Subway Auxiliary Inverter Based on EEMD and
GABP
Liang Cheng
Qingdao Univ.
Junwei Gao
Qingdao Univ.
Beijing Jiaotong Univ.
Bin Zhang
Qingdao Univ.
Ziwen Leng
Qingdao Univ.
Yong Qin
Beijing Jiaotong Univ.
MonCIS-30
Implementation of Path Planning Method of Intelligent
based on MapX
Jianmin Duan
Beijing Univ.
Huiqin Ge
Beijing Univ.
Junqin Yao
Beijing Univ.
Vehicle
of Tech.
of Tech.
of Tech.
MonCIS-31
Estimation of Li-ion Battery State of Charging and State of Healthy
Based on Unsented Kalman Filtering
Ning Chen
Central South Univ.
Xiaojun Hu
Central South Univ.
Weihua Gui
Central South Univ.
Jiachi Zou
Central South Univ.
MonCIS-32
A Study of the High-speed Vehicle Real-time Accurate Positioning
Algorithm
Yunlin Luo
Civil Aviation Univ. of China
Technical Programmes
Antao Ming
Huaikun Xiang
Lanqiu Cheng
Civil Aviation Univ. of China
Shenzhen Polytechnic
Civil Aviation Univ. of China
MonCIS-33
A traffic flow prediction algorithm based on adaptive particle filter
Mengfei Wen
Hunan Education Scie. Research Institute
Central South Univ.
Wentao Yu
Central South Univ.
Jun Peng
Central South Univ.
Xiaoyong Zhang
Central South Univ.
MonCIS-34
Ontology-driven Tunnel Construction Information Retrieval and
Extraction
Min Hu
Shanghai Univ.
Zhewen Huang
Shanghai Univ.
MonCIS-35
Effective Voltage Flicker Detection Approach Based on a
Modified S-Transform Algorithm
Yonghong Huang
Jiangsu
Junjun Xu
Jiangsu
Hui Shi
Jiangsu
Yunshuai Zhang
Jiangsu
New
Univ.
Univ.
Univ.
Univ.
MonCIS-36
Selective Harmonic Compensation Scheme for Active Power Filters
using Generalized Predictive Control
Tao Geng
Henan Univ.
Menglu Wang
Henan Univ.
Jianyan Sun
Zhongzhou Univ.
MonCIS-37
Game Theory Applied on Step-Priced Micro Grid
Hong Huang
Beijing Institute of Tech.
Xiaozhong Liao
Beijing Institute of Tech.
MonCIS-38
Constant Pressure Water Supply System Based on Smart700
Configuration
Chunyang Wang
Changchun Univ.of Scie.and Tech.
Guoxu Ding
Changchun Univ.of Scie.and Tech.
MonCIS-39
The
study
of
frequency
optimal
control
method
of
photovoltaic-diesel hybrid isolated microgrid system
Yang Mi
Shanghai Univ. of Electric Power
Yue Tian
Shanghai Univ. of Electric Power
Han Zhang
Shanghai Univ. of Electric Power
Limin Wang
Rizhao Power Company
MonCIS-40
Control Strategy for Photovoltaic Grid-connected Inverter with LCL
Filter
Guoyue Zhang
Zhejiang Univ.
Ke Yin
Zhejiang Univ.
Hangzhou Dianzi Univ.
Yue Wu
Zhejiang Univ.
Donglian Qi
Zhejiang Univ.
MonCIS-41
Study of Modeling and Intelligent Control on AGC System with Wind
Power
Guolian Hou
North China Electric Power University
Xiaobin Zheng
North China Electric Power University
Pengcheng Jiang
North China Electric Power University
Jianhua Zhang
North China Electric Power University
MonCIS-42
Improvement on the Grid Connected Control
Drive Permanent Magnet Wind Power System
Lijuan Wu
Univ. of Scie.
Haotian Wu
Univ. of Scie.
Univ. of Scie.
Xuesong Li
Strategy of Direct
and Tech. Liaoning
and Tech. Liaoning
and Tech. Liaoning
MonCIS-43
Control Strategy Research of Wayside Supercapcitor Energy
Storage System for Urban Rail Transit
Zongyu Gao
Beijing Union Univ.
Beijing Jiaotong Univ.
Jianjun Fang
Beijing Union Univ.
68
Beijing
Beijing
Beijing
Beijing
YiNong Zhang
Di Sun
Lan Jiang
Xiaoling Yang
2014CCDC
Union Univ.
Union Univ.
Union Univ.
Union Univ.
MonCIS-44
Quasi Proportional-Resonant Control of Single-Phase Photovoltaic
Grid-Connected System with LCL Filter
Yumei Liu
Liaoning Univ. of Tech.
Rui Bai
Liaoning Univ. of Tech.
Daoqian Wang
Liaoning Univ. of Tech.
Wenge Ma
Liaoning Univ. of Tech.
Zifeng Zhang
Shenzhen BYD Auto Co., Ltd
MonCIS-45
Proportional-resonant
Control
Grid-Connected Inverter
Yumei Liu
Rui Bai
Daoqian Wang
Wenge Ma
Lin Wang
Method
of
Liaoning
Liaoning
Liaoning
Liaoning
Shenzhen BYD
Three-Phase
Univ.
Univ.
Univ.
Univ.
Auto
of Tech.
of Tech.
of Tech.
of Tech.
Co., Ltd
MonCIS-46
Research on wet air oxidation sludge treatment system using
non-grid-connected wind power
Jianzhong Shi
Nanjing Univ.
Jiangsu Academy of Macroeconomic Research
Weidong Gu
Jiangsu Academy of Macroeconomic Research
MonCIS-47
Active Damping Control Strategy for
Splitting the Capacitor of LCL Filter
Lu Ling
Nanjing Univ.
Yongqiang Ye
Nanjing Univ.
Chao Zhuang
Nanjing Univ.
Jianhong Wang
Nanjing Univ.
Grid-connected Inverters by
of
of
of
of
Aeronautics
Aeronautics
Aeronautics
Aeronautics
&
&
&
&
Astronautics
Astronautics
Astronautics
Astronautics
MonCIS-48
Output Feedback PD Power-Level Control for Modular High
Temperature Gas-Cooled Reactors
Zhe Dong
Tsinghua Univ.
MonD01
Room11A
Complex networks and systems (IV)
15:40-17:40
Chair: Shuohao Li
National University of Defense Tech.
CO-Chair: Chunxia Fan
Nanjing University of Posts and Teleco
mmunications
15:40-16:00
MonD01-1
An Incremental Structure Learning Approach for Bayesian Network
Shuohao Li
National University of Defense Tech.
Jun Zhang
National University of Defense Tech.
Boliang Sun
National University of Defense Tech.
Jun Lei
National University of Defense Tech.
16:00-16:20
MonD01-2
Synchronization of Directed Complex Dynamical Networks based
on Distributed Event-triggered Communications
Jie Liu
Nanjing University of Posts and Telecommunications
Chunxia Fan
Nanjing University of Posts and Telecommunications
16:20-16:40
MonD01-3
Power grids Vulnerability Analysis Based on Combination of Degree
and Betweenness
Xuezhong Guan
Northeast Petroleum Univ.
Jinlong Liu
Northeast Petroleum Univ.
Zhe Gao
Liaoning Univ.
Di Yu
Northeast Petroleum Univ.
Miao Cai
Northeast Petroleum Univ.
16:40-17:00
MonD01-4
The Maximum Power Control of Direct-Drive Wind Turbine
Bin Qin
Hunan University of Technology Zhuzhou
Xuexiang Jiang
Hunan University of Technology Zhuzhou
Yulin Zhao
Hunan University of Technology Zhuzhou
Qing Tang
Hunan University of Technology Zhuzhou
17:00-17:20
MonD01-5
Exponential synchronization of stochastic complex dynamical
networks with impulsive perturbations and Markovian switching
Anding Dai
Donghua Univ.
Wuneng Zhou
Donghua Univ.
Technical Programmes
Yichao Zheng
Shengchao Su
Donghua Univ.
Donghua Univ.
Shanghai University of Engineering Scie.
17:20-17:40
MonD01-6
Adaptive Pinning Synchronization of Complex Networks Based on
Output Feedback Control
Youhong Wan Nanjing University of Posts and Telecommunications
Ji Xu
Nanjing University of Posts and Telecommunications
MonD02
Sensor network systems (III)
Chair: Guangming Zhu
CO-Chair: Yuan Hu
Room6A
15:40-17:40
Zhejiang Univ.
East China Univ. of Scie. and Tech.
15:40-16:00
MonD02-1
Congestion Control for Wireless Sensor Networks: A survey
Yuan Hu
East China Univ. of Scie. and Tech.
Yugang Niu
East China Univ. of Scie. and Tech.
Fenghao Gan
East China Univ. of Scie. and Tech.
16:00-16:20
MonD02-2
A Novel WIFI Indoor Positioning Method Based on Genetic
Algorithm and Twin Support Vector Regression
Wenhua Le
Shanghai Jiao Tong Univ.
Zhanbin Wang
Shanghai Jiao Tong Univ.
Jingcheng Wang
Shanghai Jiao Tong Univ.
Guanglei Zhao
Shanghai Jiao Tong Univ.
Haoxuan Miao
Shanghai Jiao Tong Univ.
16:20-16:40
MonD02-3
A Distributed Localization Scheme Based on Mobility Prediction for
Underwater Wireless Sensor Networks
Guangming Zhu
Zhejiang Univ.
Rongxin Jiang
Zhejiang Univ.
Li Xie
Zhejiang Univ.
Yaowu Chen
Zhejiang Univ.
16:40-17:00
MonD02-4
Energy-saving Routing Protocol for Wireless Sensor Networks
Yan Zeng
Hunan Univ.
Lei Wang
Hunan Univ.
Xiangtan Univ.
17:00-17:20
The Improvement
Localization
Lijun Peng
Wenwei Li
of
3D
Wireless
Sensor
MonD02-5
Network Nodes
Hunan Univ.
Hunan Univ.
17:20-17:40
MonD02-6
Human Body Detection of Wireless Sensor Network Based on RSSI
Haijing Wang
Shandong Univ.
Wei Wang
Shandong Univ.
Huanshui Zhang
Shandong Univ.
MonD03
Room7A
Decision supporting system and production planning and
scheduling (II)
15:40-17:40
Chair: Zhen-yuan Liu
Huazhong Univ. of Scie. and Tech.
CO-Chair: Yue Zhai
Dalian Inst. of Scie. and Tech.
15:40-16:00
Project Scheduling with Time
Resources
Guang-Rui Liao
Zhen-yuan Liu
Lab. of Edu.
Yang Bi
MonD03-1
Window Constraints on Multi-Skill
Huazhong Univ. of Scie. and Tech.
Huazhong Univ. of Scie. and Tech.;
Mini. for Image Proc. and Intelligent
Control
Huazhong Univ. of Scie. and Tech.
16:00-16:20
MonD03-2
Customer Point Collaboration-Based Multi-trip Vehicle Scheduling
Algorithm to Pickup and Delivery Service to Airport
Zhengzheng Xu
Northeastern Univ.;
State Key Lab. of Integrated Auto. for Process
Indu., Northeastern Univ
Jiafu Tang
State Key Lab. of Integrated Auto. for Process
Indu., Northeastern Univ.
16:20-16:40
An approach with Decomposition on
Resource-Constrained Project Scheduling
Time
MonD03-3
Windows for
69
Jing Tian
Zhenyuan Liu
Wenmin Yu
2014CCDC
Huazhong Univ. of Scie. and Tech.
Huazhong Univ. of Scie. and Tech.
Huazhong Univ. of Scie. and Tech.
16:40-17:00
MonD03-4
Urban Emergency Intelligent Decision System in Rough Set on Two
Universes
Fuquan Sun
Northeastern Univ.
Xi Yu
Dalian Inst. of Scie. and Tech.
Shixin Liu
Northeastern Univ.
Fuqiang Lu
Northeastern Univ.
17:00-17:20
MonD03-5
Research on Scheduling of Cluster Tools with Residency Time
Rui Lu
Liaoning Police Coll. Acad.
17:20-17:40
MonD03-6
Efficient Weighted Association Rule Mining using Lattice
Yue Zhai
Dalian Inst. of Scie. and Tech.
Lijuan Wang
Dalian Inst. of Scie. and Tech.
Ning Wang
Dalian Inst. of Scie. and Tech.
MonD04
Nonlinear systems (IV)
Chair: Shuqian Zhu
CO-Chair: Jun Dong
Room7B
15:40-17:40
Shandong Univ.
Air Force Engineering Univ.
15:40-16:00
MonD04-1
Finite-Time Stability and Stabilization for a Class of Nonlinear
Discrete-Time Singular Switched Systems
You Xu
Shandong Univ.
Shuqian Zhu
Shandong Univ.
Shuping Ma
Shandong Univ.
16:00-16:20
MonD04-2
Chaotic synchronization between fractional-order financial system
and financial system of integer orders
Jun Dong
The First Aeronautical Inst. of Air Force;
Air Force Engineering Univ.
Guangjun Zhang
Air Force Engineering Univ.
Shaoying Wang
Yellow River Communications Inst.
Qiongyao Li
Nanjing-Shanghai Speedway Limited-liability Comp.
16:20-16:40
MonD04-3
An Optimization Tuning Method of Nonlinear Non-minimum Phase
Systems and Its Application to Chemical Process
Wancheng Wang
Hohai Univ.
Xiaoxiao Jin
Hohai Univ.
16:40-17:00
MonD04-4
Stability Analysis of Nonlinear Self-excited Vibration in Cold Rolling
Main Drive System
Yang Xu
Univ. of Scie. and Tech. Beijing;
Shanghai Jiao Tong Univ.
Li Qing
Univ. of Scie. and Tech. Beijing
Peng Kaixiang
Univ. of Scie. and Tech. Beijing
Tong Chaonan
Univ. of Scie. and Tech. Beijing
Ding Dawei
Univ. of Scie. and Tech. Beijing
17:00-17:20
MonD04-5
Research and Verification on Swing-Up Control algorithm of Rotary
Inverted Pendulum
Haohua Qin
Qingdao Univ. of Scie. and Tech.
Wei Shao
Qingdao Univ. of Scie. and Tech.
Lantian Guo
Northwestern Polytechnical Univ.
17:20-17:40
MonD04-6
Global Sliding Mode Control based on Observer for TCP Network
Zhong Tao
Northeastern Univ.
Yuanwei Jing
Northeastern Univ.
Chengyin Ye
Liaoning Shihua Univ.
Nan Jiang
Northeastern Univ.
MonD05
Networked control systems (lll)
Chair: Zhihong Guan
CO-Chair: Chen Peng
Room8A
15:40-17:40
Huazhong Univ. of Scie. and Tech.
Nanjing Normal Univ.
15:40-16:00
MonD05-1
On Event-Triggered Algorithm Design for Distributed Coordination
of Multi-Agent Systems
Shi Wang
Anhui Univ.
Yuan Fan
Anhui Univ.
Technical Programmes
16:00-16:20
MonD05-2
A Survey on Networked Control Systems Subject to Limited
Network Resources
Cancan Guo
Nanjing Normal Univ.
Peng Chen
Nanjing Normal Univ.
Jin Zhang
Nanjing Normal Univ.
Dacheng Peng
Nanjing Normal Univ.
16:20-16:40
MonD05-3
Optimal Tracking Performance of MIMO Networked Control Systems
with Communication Constraints
Chaoyang Chen
Huazhong Univ. of Scie. and Tech.
Ming Chi
Huazhong Univ. of Scie. and Tech.
Zhihong Guan
Huazhong Univ. of Scie. and Tech.
Xianhe Zhang
Hubei Normal Univ.
Xisheng Zhan
Hubei Normal Univ.
16:40-17:00
MonD05-4
Optimal linear estimators for systems with multiple random
measurement delays and packet dropouts
Luyang Yu
Heilongjiang Univ.
Jing Ma
Heilongjiang Univ.
Shuli Sun
Heilongjiang Univ.
17:00-17:20
MonD05-5
The Stability Analysis for a Class of Time-Delay Networked Control
Systems
Shenping Xiao
Hunan Univ. of Tech.
Lixin Guo
Hunan Univ. of Tech.
Liyan Wang
Hunan Univ. of Tech.
17:20-17:40
MonD05-6
Iterative Learning Control for Networked Stochastic Systems with
Random Measurement Losses
Dong Shen
Beijing Univ. of Chemical Tech.
Youqing Wang
Beijing Univ. of Chemical Tech.
MonD06
Data processing (II)
Chair: You Li
CO-Chair: Jiaojiao Hua
Room8B
15:40-17:40
National Univ. of Defense Techn.
Shenyang Aerospace Univ.
15:40-16:00
MonD06-1
Shaft Orientation Error Compensation of Single-axis Rotation INS in
Ship Deformation Measurement System
You Li
National Univ. of Defense Techn.
Xingshu Wang
National Univ. of Defense Techn.
Zong-sheng Huang
National Univ. of Defense Techn.
16:00-16:20
MonD06-2
An Improved TANC Classification Algorithm Based on C4.5
Xiaoqiang Zhao
Coll.of Electrical and Information Engineering
Jiamin Yang
Coll.of Electrical and Information Engineering
and Key Laboratory of Gansu Advanced
Control for Industrial Processes
16:20-16:40
MonD06-3
An improved IWO-FCM Data Mining Algorithm
Xiaoqiang Zhao
Lanzhou Univ. of Tech.
Jinhu Zhou
Gansu Manufacturing information Engineering
echnology Research Center
16:40-17:00
MonD06-4
Life Trend Analysis of Aircraft Air Refrigerator Based on
Neighborhood Rough Set and SVM
Jianguo Cui
Shenyang Aerospace Univ.
Jiaojiao Hua
Shenyang Aerospace Univ.
Qingtian Wang
Shenyang Aerospace Univ.
Xiao Cui
Shenyang Aerodynamics Research Institute
Haigang Liu
Shenyang Aircraft Design & Research Institute
Liying Jiang
Shenyang Aerospace Univ.
17:00-17:20
MonD06-5
Real Time Correction Methods of Hydrodynamic with H∞ filter
Xiaoliang Feng
Henan Univ. of Tech.
Xiaoliang Wang
Henan Univ. of Tech.
Chenglin Wen
Henan Univ. of Tech., and Hangzhou
Dianzi Univ.
17:20-17:40
MonD06-6
Event Dynamic Transition Model in TCA Based on the Attribute
Partial Diagram
Yanyan Zhang
Northeastern Univ.
70
Xiaomin Wang
Jianbo Liu
MonD07
Control applications (VI)
Chair: Rongfu Zhou
CO-Chair: Yongduan Song
2014CCDC
Northeastern Univ.
Northeastern Univ.
Room9A
15:40-17:40
PanZhihua Univ.
Univ.of Electronic Scie.and Tech.
Beijing Jiaotong Univ.
Chongqing Univ.
15:40-16:00
MonD07-1
The Control Application of Fuzzy PID in Combustion System
Rongfu Zhou
PanZhihua Univ.
Univ.of Electronic Scie.and Tech.
Shulin Tian
Univ.of Electronic Scie.and Tech.
16:00-16:20
MonD07-2
A Barrier Lyapunov Function (BLF) based Approach for Antiskid
Traction/Braking Control of High Speed Trains
Wanqing Yang
Beijing Jiaotong Univ.
Wenchuan Cai
Beijing Jiaotong Univ.
Yongduan Song
Beijing Jiaotong Univ.
Chongqing Univ.
16:20-16:40
MonD07-3
Microgrid Control Strategy Research
Donglin Xiao
Nanjing Univ.of Scie.and Tech.
Baohua Wang
Nanjing Univ.of Scie.and Tech.
16:40-17:00
MonD07-4
Design and implementation of the moving workpiece sorting system
based on LabVIEW
Haitao Zhu
Zhejiang Univ.of Tech.
Jianming Xu
Zhejiang Univ.of Tech.
Defeng He
Zhejiang Univ.of Tech.
Kexin Xing
Zhejiang Univ.of Tech.
Zhanglei Chen
Zhejiang Univ.of Tech.
17:00-17:20
MonD07-5
Strapdown Scene Matching Location Approach for Aircraft with
Attitude Variances
Xiaogang Yang
High-Tech Institute of Xi’an
JIanxiang Xi
High-Tech Institute of Xi’an
Jianyong Wang
High-Tech Institute of Xi’an
Shiwei Chen
High-Tech Institute of Xi’an
17:20-17:40
MonD07-6
Railway Crossing Intelligent Safety Alarming System Design Based
on PLC
Zhigang Zhang
State Grid of China Tech.Coll.
Xuefeng Li
State Grid of China Tech.Coll.
Yanli Gan
State Grid of China Tech.Coll.
MonD08
Network-based systems
Chair: Jun Bao
CO-Chair: Caimei Huang
Room9B
15:40-17:40
Kunming Univ. of Scie. and Tech.
Engineering Research Center for
Mineral Pipeline Transportation of
Yunnan Province
Northeastern Univ. at Qinhuangdao
15:40-16:00
MonD08-1
A Novel Method for Extracting Entity Data from Deep Web Precisely
Haitao Yu
Kunming Univ. of Scie. and Tech.
Jianyi Guo
Kunming Univ. of Scie. and Tech.
Zhengtao Yu
Kunming Univ. of Scie. and Tech.
Yantuan Xian
Kunming Univ. of Scie. and Tech.
Xin Yan
Kunming Univ. of Scie. and Tech.
16:00-16:20
MonD08-2
Design of Reverse Search Car System for Large Parking Lot Based
on NFC Technology
Caimei Huang
Northeastern Univ. at Qinhuangdao
Zhikun He
Northeastern Univ. at Qinhuangdao
Yuefeng Yang
Northeastern Univ. at Qinhuangdao
Jian Wu
Northeastern Univ. at Qinhuangdao
Ruonan Yang
Northeastern Univ. at Qinhuangdao
16:20-16:40
MonD08-3
Design of Pipeline Displacement Detecting System Based on ZigBee
Wireless Sensor Networks
Jun Bao
Kunming Univ. of Scie. and Tech.
Engineering Research Center for Mineral
Pipeline Transportation of Yunnan Province
Technical Programmes
Jiande Wu
Xiaodong Wang
Yugang Fan
Guoyong Huang
Kunming Univ. of Scie. and Tech.
Engineering Research Center for Mineral
Pipeline Transportation of Yunnan Province
Kunming Univ. of Scie. and Tech.
Engineering Research Center for Mineral
Pipeline Transportation of Yunnan Province
Kunming Univ. of Scie. and Tech.
Engineering Research Center for Mineral
Pipeline Transportation of Yunnan Province
Kunming Univ. of Scie. and Tech.
Engineering Research Center for Mineral
Pipeline Transportation of Yunnan Province
16:40-17:00
MonD08-4
The controller design for Singular Networked Control System with
Delay and Data Packet Dropout
Lili Liu
Northeastern Univ.
Jinghao Li
Northeastern Univ.
Qingling Zhang
Northeastern Univ.
Meishan Guo
Northeastern Univ.
17:00-17:20
MonD08-5
Research and Analysis of Denial of Service Performance based on
Service-Oriented Architecture
Yuntao Zhao
Shenyang Ligong Univ.
Yizhou Meng
Shenyang Ligong Univ.
Yingchun Huang
Shenyang Ligong Univ.
Yue Dai
Shenyang Ligong Univ.
Jian Yang
Shenyang Ligong Univ.
17:20-17:40
MonD08-6
Design of Remote Monitoring System for Heavy Metal Ions in Water
Dexia Li
Guilin University of Electronic Technology
Wenjun Zhai
Guilin University of Electronic Technology
Ke Lin
Guilin University of Electronic Technology
Tinglei Huang
Guilin University of Electronic Technology
MonD09
Multi-legged robot systems
Chair: Sha Sheng
CO-Chair: Yeqing Zhang
Room10A
15:40-17:20
Beijing Institute of Tech.
Beijing Institute of Tech.
15:40-16:00
MonD09-1
Review and Analysis of Quadruped Robots with Articulated Spine
Bin Li
Shandong Univ.
Qilu Univ. of Tech.
Xuewen Rong
Shandong Univ.
Yibin Li
Qilu Univ. of Tech.
16:00-16:20
MonD09-2
Central Pattern Generators with Biology Observation for the
Locomotion Control of Hexapod Robots
Dong Liu
Beihang University
Weihai Chen
Beihang University
Zhongcai Pei
Beihang University
Jianhua Wang
Beihang University
Zhifeng Li
Beihang University
16:20-16:40
MonD09-3
The Gait Planning Theory and Technology Research on the
Wheel-foot Multi-joint Mobile Robot
Yeqing Zhang
Beijing Institute of Tech.
Qingsheng Luo
Beijing Institute of Tech.
Meiling Wang
Beijing Institute of Tech.
Fan Wu
Beijing Institute of Tech.
Di Wu
Beijing Institute of Tech.
16:40-17:00
A Novel Biped Robot System Based on PMAC
Kai Zhang
Chinese
Bo Tu
Chinese
Danpu Zhao
Chinese
Xianqing Tai
Chinese
MonD09-4
Academy
Academy
Academy
Academy
of
of
of
of
Scie.
Scie.
Scie.
Scie.
17:00-17:20
MonD09-5
Design of Quadruped Robot Based on Coupling Driving Leg
Mechanism and Optimization of Crawling Gait
Sha Sheng
Beijing Institute of Tech.
Shaopeng Pan
Beijing Institute of Petrochemical Tech.
MonD10
Room10B
Energy management systems
15:40-17:40
Chair: Xi Li
Huazhong Univ. of Scie. and Tech.
CO-Chair: Ningyun Lu Nanjing Univ. of Aeronautics & Astronautics
71
2014CCDC
15:40-16:00
MonD10-1
A Distributed Equalization Control Approach for Series Connected
Battery Strings
Rui Ling
Chongqing Univ.
Qiang Dan
Chongqing Univ.
Jie Zhang
Chongqing Univ.
Gang Chen
Chongqing Univ.
16:00-16:20
MonD10-2
Modeling and Analysis of SOFC Thermal-Electrical Management
System with an Air Bypass Valve
Jianhua Jiang
Huazhong Univ. of Scie. and Tech.
Xi Li
Huazhong Univ. of Scie. and Tech.
16:20-16:40
MonD10-3
Real-time Estimation of Cruise Duration for Electric-powered
Micro-UAVs
Shengnan Liu
Nanjing Univ. of Aeronautics & Astronautics
Qiao Li
Nanjing Univ. of Aeronautics & Astronautics
Ningyun Lu
Nanjing Univ. of Aeronautics & Astronautics
Bin Jiang
Nanjing Univ. of Aeronautics & Astronautics
16:40-17:00
MonD10-4
Regional Energy Management System Considering Demand
Response
Jun Liu
State Grid Shanghai Municipal Electric Power Company
Yingxin Xie
Beijing GuoDianTong Network Tech. Co.,Ltd.
Yin Liu
Beijing GuoDianTong Network Tech. Co.,Ltd.
Fengyu Wang
Beijing GuoDianTong Network Tech. Co.,Ltd.
Maomao Wu
Beijing GuoDianTong Network Tech. Co.,Ltd.
17:00-17:20
MonD10-5
Isolated Voltage Balancing in Super-capacitor Energy Storage
System
Xuewen Zuo
Tongji Univ.
Guozheng Li
Tongji Univ.
17:20-17:40
MonD10-6
An Auto Regression Compression Method for Industrial Real Time
Data
Tiecheng Pu
Beihua Univ.
Jing Bai
Beihua Univ.
Northeastern Univ.
MonD11
Fuzzy systems
Chair: Shengtao Li
CO-Chair: Guo Zhang
Room11B
15:40-17:40
Shandong Normal Univ.
Luoyang Institute of Scie. and Tech.
15:40-16:00
MonD11-1
State Feedback Predictive Control Based on T-S Fuzzy Model and
State Estimator
Xiaomei Liu
Southeast Univ.
Shengtao Li
Shandong Normal Univ.
Kanjian Zhang
Southeast Univ.
Xiujuan Dong
Northeastern Univ,
Yuanwei Jing
Northeastern Univ,
16:00-16:20
MonD11-2
Decentralized Control for a Class of Discrete-time Fuzzy Bilinear
Interconnected Large-scale Systems
Wenqing Chen
Luoyang Institute of Scie. and Tech.
Guo Zhang
Luoyang Institute of Scie. and Tech.
Yanhua Zhang
Luoyang Institute of Scie. and Tech.
16:20-16:40
MonD11-3
Research on Lime Kiln Temperature System Based on Fuzzy PID
Algorithm and Optimal Control
Shaoming Li
Anhui Univ. Of Tech.
Peng Yang
Anhui Univ. Of Tech.
Fan Yang
Anhui Univ. Of Tech.
Guoli Zhang
Anhui Univ. Of Tech.
16:40-17:00
MonD11-4
Observer-based Direct Adaptive Fuzzy Control for SISO Nonlinear
Systems with Unknown Control Direction
Wuxi Shi
Tianjin Polytechnic Univ.
Hongquan Wang
Tianjin Polytechnic Univ.
Furong Li
Tianjin Polytechnic Univ.
Xiangyu Wei
Tianjin Polytechnic Univ.
17:00-17:20
MonD11-5
PubMed state lines prediction based on interval type-2 fuzzy set
Technical Programmes
Dan Tan
Hong Mo
Zhanlin Wu
Changsha Univ. of Scie. and Tech.
Changsha Univ. of Scie. and Tech.
Changsha Univ. of Scie. and Tech.
17:20-17:40
MonD11-6
A reduction algorithm of fuzzy time series model based on a kind of
new fuzzy sets
Gang Chen
Dalian Maritime Univ.
Jinling Li
Dalian Maritime Univ.
Pengfei Wang
Dalian Maritime Univ.
MonDIS
Interactive Session
The lobby of the 4th floor
15:40-17:40
MonDIS-1
Fusion Filtering Method Based on Pseudo-measurement Model
Library for Multisensor Systems with Delay Measurements
Haihong Ye
Hangzhou Dianzi Univ.
Chenglin Wen
Hangzhou Dianzi Univ.
Xiaoliang Feng
Hangzhou Dianzi Univ., and Henan univ. of tech.
MonDIS-2
Mixture of Topic Model for Multi-document Summarization
Na Liu
Dalian Polytechnic
Mingxia Li
Dalian Polytechnic
Ying Lu
Dalian Polytechnic
Xiaojun Tang
Dalian Polytechnic
Haiwen Wang
Dalian Polytechnic
Peng Xiao
Dalian Polytechnic
Univ.
Univ.
Univ.
Univ.
Univ.
Univ.
MonDIS-3
A Fractional-order Edge Detection Operator for Medical Image
Structure Feature Extraction
Dan Tian
Shenyang Univ.
Jingfei Wu
Shenyang Univ.
Yajie Yang
Shenyang Univ.
MonDIS-4
Survey of Dual Waveband Colorimetric Temperature Measurement
Technology
Yan Ren
Shenyang Aerospace Univ.
Xiaomin Zhou
Shenyang Aerospace Univ.
Li Fu
Shenyang Aerospace Univ.
MonDIS-5
New Local Density Definition Based on Minimum Hyper Sphere for
Outlier Mining Algorithm Using in Industrial Databases
Yiwei Yuan
Xi’an jiaotong Univ.
Yanbin Zhang
Xi’an jiaotong Univ.
Hui Cao
Xi’an jiaotong Univ.
Rui Yao
Xi’an jiaotong Univ.
MonDIS-6
Normal and Reverse Order Serial Models for Huge Image Database
Based on Formal Concept Analysis
Jianbo Liu
Northeastern Univ.
Xiaomin Wang
Northeastern Univ.
Yanyan Zhang
Northeastern Univ.
Jingfei Yang
Tangshan Teacher‘s Coll.
MonDIS-7
Optimal Data Clustering by Using Artificial Immune Network with
Elitist Learning
Zhonghua Li
Sun Yat-sen Univ.
Xianshu Fang
Sun Yat-sen Univ.
Jieying Zhou
Sun Yat-sen Univ.
MonDIS-8
Study on Cement Clinker Burning Energy Efficiency
Hongliang Yu
Chuanbo Yao
Xiaohong Wang
Univ. of Jinan
Univ. of Jinan
Univ. of Jinan
MonDIS-9
Empirical Analysis on How to Alleviate the Financial Constraints of
Chinese Small and Medium-sized Enterprises
Dongmei Wang
Univ. of Chinese Academy of Scie.
Ruijie Kang
Univ. of Chinese Academy of Scie.
MonDIS-10
The Efficiency Assessment of Internal Accounting Controls: A New
Perspective on the Financial Firms in China
72
Degui Zhu
Liqiongyu Zhu
2014CCDC
Harbin Univ. of Commerce
Harbin Univ. of Commerce
MonDIS-11
An Information Management System for FCC Units in Petrochemical
Plants
Hongxia Xu
Beijing Univ. of Tech.
Congli Cheng
Research Institute of Petroleum Processing
MonDIS-12
Merging Several Business Process Variants
Huifang Li
Beijing Institute of Tech.
Harbi Mohamed El-Amine
Beijing Institute of Tech.
Hachou Mohamed
Beijing Institute of Tech.
MonDIS-13
Research of Stability AugmentationHybrid Controller for Quadrotor
UAV
Qingji Gao
Civil Aviation Univ. of China
Fengfa Yue
Civil Aviation Univ. of China
Dandan Hu
Civil Aviation Univ. of China
MonDIS-14
Optimal Formation of Robots by the Continuous-Discrete PSO
Algorithm in Three Dimensional Space
Jun Liu
Beijing Institute of Technology
Hongbin Ma
Beijing Institute of Technology
Tianyun Shi
Chinese Academy of Railway Sciences
Ping Li
Chinese Academy of Railway Sciences
MonDIS-15
A Motor Learning Model Based on the Basal Ganglia in Operant
Conditioning
Yuanyuan Gao
Zhejiang A&F Univ.
Hongjun Song
Zhejiang A&F Univ.
MonDIS-16
Static Stability Analysis of a Joint Double-Tracked Robot
Chengguo Zong
Beijing Institute
Shigong Jiang
Beijing Institute
Wenzeng Guo
Beijing Institute
Fuquan Dai
Beijing Institute
Xueshan Gao
Beijing Institute
Harbin Institute
of
of
of
of
of
of
Tech.
Tech.
Tech.
Tech.
Tech.
Tech.
MonDIS-17
LQR controller design for two-wheeled robot with a movable seat
Wenzeng Guo
Beijing Institute of Tech.
Xueshan Gao
Beijing Institute of Tech.
Harbin Institute of Tech.
Shigong Jiang
Beijing Institute of Tech.
Chengguo Zong
Beijing Institute of Tech.
Fuquan Dai
Beijing Institute of Tech.
MonDIS-18
Real-time and Robust Odometry Estimation Using Depth Camera for
Indoor Micro Aerial V ehicle
Zheng Fang
Northeastern Univ.
Lei Zhang
Northeastern Univ.
MonDIS-19
A Novel Access Point Selection Strategy for Indoor Location with
Wi-Fi
Haoxuan Miao
Shanghai Jiao Tong Univ.
Zhanbin Wang
Shanghai Jiao Tong Univ.
Jingcheng Wang
Shanghai Jiao Tong Univ.
Langwen Zhang
Shanghai Jiao Tong Univ.
Zhengfeng Liu
Shanghai Jiao Tong Univ.
MonDIS-20
Object localization and tracking based on multiple sensor fusion in
intelligent home
Jianqin Yin
Univ. of Jinan
Shandong Univ.
Guohui Tian
Shandong Univ.
Guodong Li
Shandong Univ.
MonDIS-21
A new algorithm detects pilot fatigue based on machine vision
Zhizhi Guo
Beihang Univ.
Qianxiang Zhou
Beihang Univ.
Zhongqi Liu
Beihang Univ.
Technical Programmes
Yixuan Lv
Yun Tian
Beihang Univ.
Beihang Univ.
Weihua Hu
Qu Wu
2014CCDC
China Information Tech.Security Evaluation Center
Tsinghua Univ.
Beijing Venustech Cybervision Co.Ltd.
MonDIS-22
Improved Active Contour Model by using the Honey Bee Mating
Optimization
Zhonghai Li
Shenyang Aerospace Univ.
Xiang Man
Shenyang Aerospace Univ.
Jianguo Cui
Shenyang Aerospace Univ.
MonDIS-34
Study on the Algorithms for Shaping a Team’s Internal Complex
Scientific Research Networks
Limei Zhao
Heilongjiang Univ.
MonDIS-23
The combination of SfM and monocular SLAM
Haoyin Zhou
Tsinghua Univ.
Xian Flight Automatic Control Research Institute
Tao Zhang
Tsinghua Univ.
MonDIS-35
A Prediction Study on E-commerce Sales Based on Structure
Series Model and Web Search Data
Wei Dai
Univ.of Chinese Academy of
Geng Peng
Univ.of Chinese Academy of
Ying Liu
Univ.of Chinese Academy of
Shuaipeng Li
Univ.of Chinese Academy of
MonDIS-24
Research on Asteroid Autonomous Navigation Based on
Matching Algorithm
Jiangeng Li
Beijing Univ.
Haibo Tang
Beijing Univ.
Xiaogang Ruan
Beijing Univ.
Ruoyan Wei
Beijing Univ.
Zhen Jia
Beijing Univ.
Feature
of
of
of
of
of
Tech.
Tech.
Tech.
Tech.
Tech.
MonDIS-25
Image Registration Research Based on SUSAN-SURF Algorithm
Huiqing Zhang
Beijing Univ. of Tech.
Lin Gao
Beijing Univ. of Tech.
MonDIS-26
An UAV Navigation Aided with Computer Vision
Chenghao Zhang
Beijing
Jiabin Chen
Beijing
Chunlei Song
Beijing
Jianhua Xu
Beijing
Institute
Institute
Institute
Institute
of
of
of
of
Tech.
Tech.
Tech.
Tech.
MonDIS-27
Visual Servo with Template Update for a Deformable Moving Object
Chicheng Cheng
Nation Sun Yat-Sen Univ.
Cheng-Te Chou
Nation Sun Yat-Sen Univ.
MonDIS-28
Event-triggered Control of Two-Dimensional Discrete-time Systems
in Fornasini-Marchesini (FM) second model
Jianying Wang
Shanghai Univ.
Xin Du
Shanghai Univ.
Dawei Ding
Univ.of Scie.and Tech.Beijing
MonDIS-29
Mining Status-set Sequential Pattern based on Frequent Itemset for
Failure Prediction in a Temporal Database with Multiple Status Items
Monitored
Yingying Yuan
Beihang Univ.
Yiyong Xiao
Beihang Univ.
Jie Zhang
Beihang Univ.
Yun Tian
Beihang Univ.
MonDIS-30
Research on The Coupling Empirical of Knowledge Innovation,
Talent Development and Technological Innovation
Gongli Luo
Qingdao Univ.of Scie.and Tech.
Yumei Wang
Qingdao Univ.of Scie.and Tech.
Weijun Bian
Qingdao Univ.of Scie.and Tech.
MonDIS-31
Innovation Capacity and Economic Growth Study Based on Gray
Correlation Analysis---Comparative Study of Shandong Province
and Guangdong Province
Ren Yan
Qingdao Univ.of Scie.and Tech.
MonDIS-32
How Does Knowledge Learning Mediate between HR Flexibility and
Product Innovation Performance
Ling Xu
Qingdao Univ.of Scie.and Tech.
MonDIS-33
Malware Variant Detection Using Similarity Search over Content
Fingerprint
Xiaofang Ban
China Information Tech.Security Evaluation Center
Chen Li
China Information Tech.Security Evaluation Center
73
Time
Scie.
Scie.
Scie.
Scie.
MonDIS-36
An Efficient Algorithm for Influence Maximization under Linear
Threshold Model
Shengfu Zhou
Yunnan Univ.
Kun Yue
Yunnan Univ.
Qiyu Fang
Yunnan Univ.
Yunlei Zhu
Yunnan Univ.
Weiyi Liu
Yunnan Univ.
MonDIS-37
An Evolutionary Game Approach to Analyzing Bid Evaluation
Behaviors for Multi-Attribute Reverse Auction
Xuwang Liu
Henan Univ.
Wei Qi
Henan Univ.
Northeastern Univ.
Dingwei Wang
Northeastern Univ.
MonDIS-38
Model and Algorithm of Winner Determination Problem in Multi-item
E-Procurement with Variable Quantities
Na Wang
Northeastern Univ.
Dingwei Wang
Northeastern Univ.
MonDIS-39
Hybrid Method for Human Eye Detection
Di Zhu
Key Lab.of Measurement
Siyu Xia
Key Lab.of Measurement
Xin Zhou
Key Lab.of Measurement
Jihui Zheng
Key Lab.of Measurement
&
&
&
&
Control
Control
Control
Control
of
of
of
of
MonDIS-40
A comparative study of Face Recognition Algorithms on R1
Database
Limin Bai
Northeastern
Mingxing Jia
Northeastern
Shengyang Qiao
Northeastern
Qiang Wu
Northeastern
CSE
CSE
CSE
CSE
Face
Univ.
Univ.
Univ.
Univ.
MonDIS-41
Research of Three-Dimensional Localization Algorithm Based on
DV-Hop AC-PSO
Jun Xiao
Northeastern Univ.
Xiaochuan Zheng
Northeastern Univ.
The 26th Chinese Control and Decision Conference
Book of Abstracts
75
Book of Abstracts
2014CCDC
presented. Load torque used in dynamic surface controller is observed
via reduced order observer. The simulation results show that the
proposed control scheme is robust to bounded parametric uncertainties.
Adaptive dynamic surface control has a better rejection performance of
pump speed variation and load torque disturbance than PID control.
Saturday, 31 May, 2014
SatA01
Adaptive control (I)
Chair: Yan Li
CO-Chair: Bi Zhang
Room11A
13:10-15:10
Shandong Univ.
Northeastern Univ.
14:50-15:10
SatA01-6
Adaptive control for Hammerstein systems with dead-zone
nonlinearity and bounded noise
Bi Zhang
Northeastern Univ.
Zhizhong Mao
Northeastern Univ.
This note focuses on robust adaptive controller design for Hammerstein
systems with symmetric dead-zone nonlinearity and bounded noise. A
modified control law is proposed to compensate dead-zone nonlinearity
and a new recursive estimator with a nonnegative data weighting is
presented to deal with bounded noise. From convergence properties and
global stability analysis, we show that parameter estimation is convergent
and the closed-loop system is globally stable. What is more, the
theoretical results also show that tracking error is convergent with a
specific residue which is related to parameter estimation and the upper
bound of noise.
13:10-13:30
SatA01-1
Adaptive Fault-tolerant Control of Automotive Suspension with
Actuator Saturation and L2-disturbances
Wei Guan
Shenyang Aerospace Univ.
Qian Li
Shenyang Aerospace Univ.
Ling Guo
Shenyang Aerospace Univ.
Suspension is one of the important parts of automobile which has a great
influence on the comfort of riding, the stability of handling and the control
of vehicle’s posture.With the simple two degree of freedom of a quarter of
the simplified model of automotive suspension, we use the fixed-gain
control and the adaptive control to design the controller. Making use of
the MATLAB simulation, the scientific data shows that the adaptive
control has a better effect.
SatA02
Robust control (I)
Chair: Lu Ming
CO-Chair: Xiaomei Liu
13:30-13:50
SatA01-2
An Identification Based Optimization of Fractional-order Iterative
Learning Control
Yan Li
Shandong Univ.
Yang Zhao
Shandong Univ.
Yangquan Chen
University of California
Hyo-Sung Ahn
Gwangju Institute of Science and Tech
In this paper, a practical identification strategy is applied to the optimal
design of fractional-order iterative learning control (FOILC). The initialized
fractional-order gray-box system with commensurate order or
noncommensurate order is identified by using the fractional-order
iterative learning identification and the least square or instrumental
variable method. The optimal Da−type FOILC is derived from the
estimated system and by the assumption that the fractional-order system
is repeatable. Many other discussions on FOILC can be included as
special cases of this paper. A number of illustrated examples are shown
to validate the concepts.
Room6A
13:10-15:10
Beijing Institute of Control Engineering
Southeast Univ
13:10-13:30
SatA02-1
A Novel Approach for Rejection of Cosine Disturbances
Zeshao Chen
Northeastern Univ.
Yiheng Wei
University of Science and Technology of China
In this paper the disturbance rejection problem is investigated for a class
of linear systems in a new online disturbance-observer-based control
framework. The external disturbances are supposed to be cosine
harmonic signal with the known frequency. First for the system without
disturbances, an output feedback controller is designed via LMI. Based
on Fourier transformation algorithm, a modified algorithm is proposed to
compute the harmonic component of the output of the closed-loop control
system. By using the phaser method, one can estimate the disturbance
excitation signal, and then modify the control signal to reject the original
disturbance. If the output also has fluctuation, the rejection procedure can
be applied again. Finally, simulation is given to demonstrate the
effectiveness of the proposed method.
13:50-14:10
SatA01-3
Self-Adaptive PID Optimal Control of Wind Energy Conversion
System
Dinghui Wu
Jiangnan Univ.
Yiyang Li
Jiangnan Univ.
Zhicheng Ji
Jiangnan Univ.
Yanxia Shen
Jiangnan Univ.
Tinglong Pan
Jiangnan Univ.
Based on the characteristic of uncertainty and multi-disturbance of
variable-speed of SGIG for wind power generation system,a self-adaptive
PID controller was proposed for harvesting the maxiumum power from
wind.Self-adaptive parameters self-turning control and vector control
were used via mathematical model of SCIG-wind energy generator
system.The controllor was designed in Matlab and dSPACE
respectively.The simulation and experimental results showed that the
self-adaptive PID controller proposed had faster response speed and
better anti-interference capability than the classic PID,and the efficiency
and quality of wind energy conversion system were also improved.
13:30-13:50
SatA02-2
Delay-dependent H∞ Control for Lurie Type Singular Time-delay
Systems
Xiaomei Liu
Southeast Univ.
Kanjian Zhang
Southeast Univ.
Shengtao Li
Shandong Normal Univ.
Shumin Fei
Southeast Univ.
Haikun Wei
Southeast Univ.
In this paper, the design of delay-dependent H∞ controller for a class of
singular Lurie systems with state-delay is studied. Delay-dependent
sufficient condition is obtained in terms of matrix inequalities to ensure
the resultant closed-loop system regularity, free of impulses, global
uniform asymptotically stable and a prescribed H ∞ performance.
Furthermore, an LMI based state feedback H∞ control law is developed
to guarantee robust stability for the resulting closed-loop system.
Numerical example demonstrates that the proposed method is effective.
14:10-14:30
SatA01-4
Pitch Angle Control Based on Renforcement Learning
Bin Qin
Hunan University of Tech.
Pengcheng Li
Hunan University of Tech.
Xin Wang
Hunan University of Tech.
Wanli Zhu
Hunan University of Tech.
According to the random characteristics of external wind speed,
time-varying of the internal unit parameters and nonlinearity of wind
turbine system, a pitch angle control strategy based on reinforcement
learning algorithm for wind turbine is proposed in this paper. The
framework of Actor-Critic is adopted in this algorithm and RBF neural
network is used to process continuous input and output space. With this
algorithm the system can optimize its control parameter in time varying
environment. The simulation results of wind power generation system
show that the algorithm can quickly converge to the optimal value and
has a good dynamic response and strong anti-disturbance.
13:50-14:10
SatA02-3
L1-induced Performance Analysis for Continuous Positive
Time-delay Systems
Cuihong Wang
Shanxi Normal Univ.
Zhuanxia Yang
Shanxi Normal Univ.
Huili Yang
Shanxi Normal Univ.
The problem of L1-induced performance analysis for continuous positive
systems with time-delay is investigated in this paper. At first, we propose
a integral method to compute the value of the system L1-induced norm,
and the relationship between the transfer function and L1-induced norm
of such systems is obtained. Then, the necessary and sufficient condition
is given to ensure that such systems are asymptotically stable and have a
prescribed L1-induced performance by linear Lyapunov function. At last,
we get a conclusion that time-delay is independent of the L1-induced
performance of such systems.
14:30-14:50
SatA01-5
Adaptive Dynamic Surface Controller Design of Variable-Speed
Pump Controlled Motor System with Parametric Uncertainties
Xiaolin Li
Beijing Institute of Tech.
Xiangzhou Wang
Beijing Institute of Tech.
Yu Wang
Beijing Institute of Tech.
The constant speed control of variable speed pump controlled motor
system is discussed in this paper. A dynamic surface controller is chosen
to improve robustness of motor speed when rotational speed of variable
pump is time-varying. In the presence of bounded parametric
uncertainties, an adaptive control scheme with parameter estimation is
14:10-14:30
SatA02-4
Tuning Fractional Order Proportional Integral Controllers Based on
Vector in the Complex Plane for First Order Systems
Chunyang Wang
Changchun University of Science and Tech.
Nianchun Cai
Changchun University of Science and Tech
Lu Wang
Changchun University of Science and Tech
Wenting Jiang
Changchun University of Science and Tech
In this paper, an improved fractional order proportional integral controller
parameter tuning method has been proposed. This method is to map the
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Book of Abstracts
controller to get a set of vectors in the complex plane. Following the
method of vector and geometric in the complex plane, the complicated
derivation and calculation can be simplified in the process of the
controller design. In addition, the established geometric relationship
equations not only can still be used when the plant is different, but also
can be programmed in MATLAB. Therefore, the repetitive process of
formula derivation can be omitted. Because of the triangle constraints in
the complex plane, we can solve the problem that using MATLAB to
calculate the controller parameters has multiple solutions.
14:30-14:50
SatA02-5
Dynamics of Discrete-Time Linear Systems with Decaying
Disturbances
Xingwen Liu
Southwest University for Nationalities of China
Dynamical systems in the real world are always subject to various
disturbances. This paper studies the dynamics of delayed discrete-time
linear systems with decaying disturbances. It is first shown that if an
unforced linear system is exponentially stable, then the disturbed system
has a dynamical property like the exponential stability if the disturbance
decays at an exponential rate, and has a dynamical property like the
asymptotic stability if the disturbance asymptotically approaches to zero.
14:50-15:10
SatA02-6
Ultra-low Speed Control Strategy for SGCMG Gimbal Servo System
Ming Lu
Beijing Institute of Control Engineering
Shuyan Wang
Beijing Institute of Control Engineering
Wei Zheng
Beijing Institute of Control Engineering
Jia Liang
Beijing Institute of Electronic System Engineering
Yi Zhou
Beijing Institute of Control Engineering
Ni Xia
Beijing Institute of Control Engineering
Ultra-low speed control strategy is a difficult problem in the single gimbal
control moment gyro (SGCMG) gimbal servo system. Speed detection
resolution and disturbance torque attenuation are two major factors that
restrict further improvements on the ultra-low speed control performance.
In this paper, a novel ultra-low speed control strategy is proposed,
including a multi-cycle backward difference combined with KALMAN
estimation speed detection method to increase the ultra-low speed
detection resolution, and a variable structure controller (VSC) combined
with repetitive controller (RC) to improve the disturbance torque
attenuation capability. Simulation results show that the ultra-low speed
control strategy is feasible and efficient. Comparing to the conventional
controller, the speed control precision increases almost by one order of
magnitude.
SatA03
Room7A
Optimal control and optimization (I)
13:10-15:10
Chair: Chongliang Huang
North China Electric Power Univ.
CO-Chair: Zhiqiang Geng
Beijing Univ. of Chemical Tech.
13:10-13:30
SatA03-1
Subcarrier and Power Allocation for OFDM-Based Relay Cognitive
Radio System
Lina Fan
Northeastern University
University at Qinhuangdao
Jinkuan Wang
Northeastern University
University at Qinhuangdao
Jing Gao
Northeastern University
University at Qinhuangdao
In this paper, a suboptimal subcarrier and power allocation algorithm has
been
developed
for
the
orthogonal
frequency
division
multiplexing(OFDM)-based relay cognitive radio systems. The channel
capacity of secondary users is maximized while keeping the total
interference introduced to primary user less than a given threshold with a
specified power. Compared with the other power allocation algorithm, the
proposed method can achieve greater channel capacity and has a lower
complexity.
13:30-13:50
SatA03-2
An Optimal Model for Emergency Resource Dispatching based on
Simulated Annealing Algorithm
Lei Li
Zhe Jiang Normal Univ.
Ziruo Li
Zhe Jiang Normal Univ.
Xiaolin Lai
Zhe Jiang Normal Univ.
Xuecai Yu
Zhe Jiang Normal Univ.
The emergency resources dispatching problem (EMDP) has been
addressed in many research papers. Few of them take dynamic travel
time and how to find key dispatching route into consideration. Based on
previous research about the EMDP, in this paper an optimization model is
presented, a new model constraint is added which aims to decide the key
routes that need to be repaired priority, and the dynamic travel time also
considered as the model constraint which satisfies the ‘‘first-in–first-out’’
property. This paper adopted improved simulated annealing (SA)
algorithm to improve the calculation efficiency. Computational
experiments shows that the proposed model is reasonable and algorithm
is valid and the same the results can also help decision-makers identify
the key routes.
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2014CCDC
13:50-14:10
SatA03-3
Adaptive Particle Swarm Optimization Algorithm Based on Dynamic
Link Matrix and its Application
Lirong Xia
Beijing Univ. of Chemical Tech.
Runxue Li
Beijing Univ. of Chemical Tech.
Zhiqiang Geng
Beijing Univ. of Chemical Tech.
To deal with the problems of topological structure cannot adjust
adaptively, easy to trap into the local minimum and diversity losing in
traditional particle swarm optimization algorithm, a newly adaptive PSO
algorithm based on dynamic link matrix was proposed, which build the
neighborhoods though link matrix and divide them into the sub-swarm
based on feature clustering. The algorithm can adjust the link probability
between particles according to the evolution states of different
sub-swarms, which not only realize the topology structure adjustment
adaptively and every sub-swarm evolves as their own evolutionary state,
but also keep the swarm diversity and better character. The simulation
results of the standard benchmark test functions show that the proposed
algorithm is better and more effective than the topology of the other
proposed PSO algorithm. The feasibility of the method is illustrated with
the challenge of the optimization of the selectivity of the first reaction in
Kumar.
14:10-14:30
SatA03-4
Optimal Scheduling of Wind Farm with Storage and Forecasting
Based on Improved Genetic Algorithms
Juncheng Liu
North China Electric Power Univ.
Chongliang Huang
North China Electric Power Univ.
Pengfei Li
North China Electric Power Univ.
The optimal Operation Scheduling for power output of a wind farm with
storage units and forecasting system has been studied in this paper.
Genetic algorithm (GA) is used to achieve the optimal scheduling of wind
farm output power which maximize revenue and minimize costs over a
required period. However, the Traditional Genetic Algorithm (TGA) has
the characteristics of premature phenomenon and slow convergence; it
cannot get the desirable result on such a multi-step scheduling scenario.
An Improved Genetic Algorithm (IGA) is presented in this paper by
modifying the fitness function, choice strategy and crossover strategy.
Simulation shows that IGA has the advantages of fast convergence
speed and strong capability of global search over traditional genetic
algorithm. Finally, a method for optimal scheduling of wind farm with
storage and forecasting based on improved genetic algorithms is
presented and the experiments validate its feasibility and effectiveness.
14:30-14:50
SatA03-5
Research on The Evaluation Method of Design Scheme of Solar
House
Han Li
Northeast Dianli Univ.
Yue Liu
Northeast Dianli Univ.
Yuting Bian
Northeast Dianli Univ.
Ruonan Xu
Northeast Dianli Univ.
This paper will establish a reasonable evaluation index system and
research method as a solution of main problems. First of all, according to
the specific problems on solar house design, evaluation index system is
constructed, Then, the idea of integrating the AHP method and the
intuitionistic fuzzy entropy method is proposed to determine the weight
coefficient of each index; Finally, using the grey correlation analysis
method, different design schemes of solar house are comprehensively
evaluated.
14:50-15:10
SatA03-6
PID Control Strategy for UAV Flight Control System based on
Improved Genetic Algorithm Optimizationi
Feng Lin
Shenyang Aerospace Univ.
Haidong Duan
Shenyang Aerospace Univ.
Xiaoguang Qu
Shenyang Aerospace Univ.
The design objective of PID controller is to choose the reasonable
parameters which can make the system meet the design requirements.
Specific to the problem of the controller parameter optimization of flight
control system, the classic tuning method of PID controller parameters is
cumbersome and need repeating trial. What’s more, the controller
parameters cannot be guaranteed to be optimal. Therefore, in this paper,
the genetic algorithm was introduced into the control problem of small
unmanned aerial vehicle (UAV), namely, an improved genetic algorithm to
optimize the controller parameters. And then the results obtained were
compared with the conventional PID control method. Through MATLAB
simulation, the results show that the optimization strategy can adjust the
parameters of the flight control system effectively and have the
advantage of fast convergence rate and high setting accuracy.
SatA04
Nonlinear systems (I)
Chair: Xin Yu
CO-Chair: Dongsheng Ding
Room7B
13:10-15:10
Jiangsu Univ.
Zhejiang Univ.
13:10-13:30
SatA04-1
Global Output Feedback Control of Nonlinear Systems with
Uncertain Supply Rates
Book of Abstracts
Xin Yu
Jiangsu Univ.
Tairen Sun
Jiangsu Univ.
Guohai Liu
Jiangsu Univ.
This paper considers the problem of global output feedback control for a
class of nonlinear systems with inverse dynamics. The main contribution
of paper is that: For the inverse dynamics with uncertain ISS/iISS supply
rates, we construct a reduced-order observer-based output feedback
controller, which drives the output of system to zero and maintain other
closed-loop signals bounded. Finally, a simulation example shows the
effectiveness of the control scheme.
13:30-13:50
SatA04-2
Fractional-order Integral State Space Modeling and Quasi State
Analysis via Block Operational Matrix Scheme
Dongsheng Ding
Zhejiang Univ.
Donglian Qi
Zhejiang Univ.
Qiao Wang
Zhejiang Univ
In this paper, the fractional-order integral state space realization of a
class of any proper fractional transfer function is presented. The
operational matrix is generalized into the block form for fitting to carry out
the quasi state analysis of the fractional-order integral state space model.
Finally, some examples are exhibited to prove the validity of the proposed
developments.
13:50-14:10
SatA04-3
FPGA Implementation of Nonlinear Model Predictive Control
Fang Xu
Jilin Univ.
Hong Chen
Jilin Univ.
Weiwei Jin
Jilin Univ.
Yueting Xu
Jilin Univ.
The online computational burden associated with the solution of the
NMPC optimization problem is a key issue when applying nonlinear
model predictive control (MPC) to fast dynamic systems. In order to
improve the computation efficiency, a novel hardware implementation
method for NMPC on a field programmable gate array (FPGA) chip is
proposed. The optimization problem formed by NMPC is solved by
particle swarm optimization (PSO) algorithm. The process speed of
NMPC can be accelerated by exploring the parallelism-loop unrolling and
pipelining architecture. Real-time simulation test of engine idle speed
control (ISC) is performed to verify the NMPC controller. The results show
that the designed NMPC-FPGA controller can achieve satisfactory
performance for ISC.
14:10-14:30
SatA04-4
Stochastic observer design for Markovian jump Lur’e differential
inclusion system
Jun Huang
Soochow Univ.
Lei Yu
Soochow Univ.
Lining Sun
Soochow Univ.
This paper deals with the observer design for the Lur’e differential
inclusion system with Markovian jump parameters. The information of
transition probabilities is partially unknown. The stochastic observer is
designed to make the error system exponentially stable in mean square.
The condition for the existence of the stochastic observer is given by a
set of linear matrix inequalities and linear matrix equalities. Finally, the
rotor system is simulated to show the effectiveness of the proposed
observer.
14:30-14:50
SatA04-5
Generalized projective synchronization of an array of non-identical
coupled chaotic systems
Huichao Gong
Linyi Univ.
Xiangyong Chen
Linyi Univ.
Chunhua Xu
Linyi Univ.
Yuanwei Jing
Northeastern Univ.
Jianlong Qiu
Linyi Univ.
This paper considers the generalized projective synchronization problem
for an array of non-identical coupled chaotic systems with ring
connections. By using the direct design method, the control laws, which
transform the error system into a nonlinear system with special
antisymmetric structure, are designed to realize the generalized
projective synchronization. Some simple stability criteria are then derived
for reaching the transmission projective synchronization among
multi-systems. It is proved that these criteria not only are easily verified,
but also improve and generalize previously known results. Numerical
examples are presented to verify the effectiveness and correctness of the
synchronization within a desired scaling factor. For the multi-systems
synchronization model, it seems to have more valuable than the usual
one drive system and one response system synchronization model.
14:50-15:10
SatA04-6
Constrained Robust Output Regulation for a Class of Nonlinear
Systems with Unknown Control Direction
Jianglin Lan
South China Univ. of Tech.
Weijie Sun
South China Univ. of Tech.
This paper addresses a constrained robust output regulation problem for
a class of output feedback systems with unknown control direction. The
79
2014CCDC
problem is firstly transformed into a constrained stabilization problem by
introducing the internal model principle. Then a robust adaptive feedback
control law for the system is proposed to solve the constrained
stabilization problem by incorporating the techniques of Barrier Lyapunov
Function and Nussbaum gain. Such a design leads to the solution of the
constrained robust output regulation problem of the original system in the
sense that the output tracking error is constrained within the prescribed
barrier limit while asymptotically approaching to zero and the closed loop
signals are all bounded for all the time. A numerical example is provided
to illustrate the performance of the proposed control.
SatA05
Decision-making theory and method (I)
Chair: Guanjie Jiang
CO-Chair: Wenxue Geng
Room8A
13:10-15:10
Northeastern Univ.
Liaoning Univ. of Tech.
Luoyang Tech. on Electron-Optic Control
Lab.
13:10-13:30
SatA05-1
Negotiation Based Project Risk Management Framework
Guanjie Jiang
Northeastern Univ.
University of Scie. and Tech. Liaoning
Min Huang
Northeastern Univ.
Ruiyou Zhang
Northeastern Univ.
Xingwei Wang
Northeastern Univ.
In view of the distribution feature of decision-making between owner and
contractors, a novel decision-makingframework based on negotiation is
proposed. The owner and contractors negotiate on completion time in
order to obtainthe expected completion probability of a project with the
constraint of cost. Considering the dynamic property of risks,Markov
process is used in each subproject. The evaluation mechanism of the
owner is presented based on programevaluation and review technique
(PERT) and negotiation tactics are designed. Numerical analysis shows
that thisframework can achieve effective risk management.
13:30-13:50
SatA05-2
Study on Tactical Decision of UAV Medium-Range Air Combat
Wenxue Geng
Scie. and Tech. on Electron-Optic Control Lab.
Fan'e Kong
Scie. and Tech. on Electron-Optic Control Lab.
Dongqian Ma
Scie. and Tech. on Electron-Optic Control Lab.
To process the uncertainty of decision-making environment and the
real-time during the tactical decision of UAV medium-range air combat, a
hybrid tactical decision-making method based on rule sets and Fuzzy
Bayesiannetwork (FBN) was proposed. By studying the process of UAV
air combat, the main factors that affect the tacticaldecision were
analyzed. A corresponding FBN and expert system were built up. The
hybrid system retained theadvantage of expert system by the first call to
it. In the mean time, the system could also process the uncertainty
ofdecision-making environment by means of the FBN. Finally, through the
air combat simulation, the correctness, realtimeand effectiveness in an
uncertain environment of the hybrid tactical decision-making method
were verified.
13:50-14:10
SatA05-3
Research on Coupling Degree Model and Application of IT
Resources and IT Application Capabilities
Yupeng Liu
Harbin Institute of Tech.
Lei Shi
Harbin Institute of Tech.
Wei Liu
Harbin Institute of Tech.
On the basis of the interaction law of IT resources and IT application
capabilities, using collaborative theory point of view, IT resources and IT
application capabilities coupling measure model is established, which
involves the active function, coupling degree functions, coupled
coordination function and IT resources and IT ability coupling evaluation
index system. According to the model, combined with the characteristics
of IT resources and IT application capabilities coupling stage, the
corresponding value of the coupling value and coupling coordination
value are divided into 3 and 4 evaluation interval seperately, as the IT
resources and IT application capabilities coordinate basis for the
analysis. Finally, the empirical studies illustrate the operability and
practicability of the model.
14:10-14:30
SatA05-4
Analysis of the key influencing factors of the food industrial
enterprises’ integrity & credit in China based on DEMATEL method
Hongwei Li
Shandong Univ. of Scie. and Tech.
Caili Yang
Shandong Univ. of Scie. and Tech.
Min Tao
Shandong Univ. of Scie. and Tech.
The influencing factors indexes system of food industrial enterprises’
integrity and credit is constructed from enterprise, government, market,
society and consumer. It is difficult to decide accurately which factor has
the greatest influence and influenced degree on the integrity & credit
because there are the complicated, interactive and restrictive influencing
relations between each pair of the influencing factors in the practical
process of its building and management.In order to solve it, we consider
the direct influence and restriction relations among the influencing
factors, and calculate the integrative influence and influenced degrees of
each factor by DEMATEL (Decision-Making Trial and Evaluation
Book of Abstracts
Laboratory) approach. It is concluded that the key influencing factors are
enterprise's development strategy, the quality of the ordinary employees,
market information asymmetry, food production technology and the
production process, the quality of manager, quality safety admittance
system, the construction of social honesty and faith. Some advice is
proposed to improve food industrial enterprises’ integrity & credit.
14:30-14:50
SatA05-5
Stochastic Zero-Sum Differential Games and H ∞ Control of
Discrete-time Markov Jump Systems
Haiying Zhou
Guangdong Univ. of Tech.
Huainian Zhu
Guangdong Univ. of Tech.
Chengke Zhang
Guangdong Univ. of Tech.
In this paper, linear quadratic stochastic zero-sum differential games for
discrete-time Markov jump systems are discussed. It is shown that the
existence condition of finite horizon stochastic zero-sum games is
equivalent to the solvability of the associated difference Riccati
equations, and that of infinite horizon stochastic zero-sum games is
equivalent to the solvability of the associated algebraic Riccati equations.
Moreover, the explicit expressions of the optimal strategies are
constructed. The results are applied to H ∞ control problem for
disceret-time Markov jump systems.
14:50-15:10
SatA05-6
Modeling for Project Scheduling with Multi-skilled Workforce
Constraints and Uncertainty
Di Chen
Northeastern Univ.
Shixin Liu
Northeastern Univ.
Yifan Wang
Northeastern Univ.
This paper presents a new workforce allocation optimization model for
project scheduling problems with multi-skilled workforce constraints
(PSPMSWC), under uncertainty about the projects. The model is a
mixed-integer program(MIP) model that aims at maximizing the total
profit. As a subproblem, scheduling and staff assignment for projects
must also be optimized. In the experiment, projects are selected
randomly, and we get the workforce allocation optimal solution as well as
workforce assigned optimal strategy by means of CPLEX.
SatA06
Neural networks (I)
Chair: Hongbing Zeng
CO-Chair: Hongjie Xing
Room8B
13:10-15:10
Hunan Univ. of Tech.
Hebei Univ.
13:10-13:30
SatA06-1
Further Results on Passivity Analysis of Neural NetworksWith
Time-Varying Delay
Hongbing Zeng
Hunan Univ. of Tech.
Shenping Xiao
Hunan Univ. of Tech.
Changfan Zhang
Hunan Univ. of Tech.
Gang Chen
Hunan Univ. of Tech.
This paper deals with the problem of passivity analysis for neural
networks with both time-varying delay and norm-bounded parameter
uncertainties. By further utilizing the information of activation function and
employing a reciprocally convex approach to consider the relationship
between the time-varying delay and its time-varying interval, some
improved delay-dependent passivity conditions are obtained, which are
formulated in terms of linear matrix inequalities (LMIs) and can be readily
solved by existing convex optimization algorithms. Finally, a numerical
example is provided to verify the effectiveness of the proposed
techniques.
13:30-13:50
SatA06-2
Analysis of G-Type Model Exploited for Online ZLE Solving
Yunong Zhang
Sun Yat-sen Univ.
Zhengli Xiao
Sun Yat-sen Univ.
Ke Chen
Sun Yat-sen Univ.
Mingzhi Mao
Sun Yat-sen Univ.
Xun Liu
The Third Affiliated Hospital of Sun Yat-sen Univ.
In this paper, the performance analysis of the model of gradient neural
network (or termed G-type model), which was designed originally for
solving constant linear equation, is investigated, analyzed and simulated
for online solution of Zhang linear equation (ZLE or termed time-varying
linear equation). Compared with the constant case, Gtype model for
online ZLE solving can only approximately approach its time-varying
theoretical solution, instead of converging to it exactly. That is, the
steady-state error between the solution of G-type model and the
theoretical solution cannot vanish to zero. In order to understand this
situation better, the upper bound of such an error is estimated firstly, and
then the global exponential convergence rate is investigated for such a
G-type model when approaching the error bound. Computer simulations
substantiate the performance analysis of the G-type model exploited for
online ZLE solving.
13:50-14:10
SatA06-3
WASP Neuronet Activated by Bipolar-Sigmoid Functions and
Applied to Glomerular-Filtration-Rate Estimation
Yunong Zhang
Sun Yat-sen Univ.
80
2014CCDC
Sitong Ding
Sun Yat-sen Univ.
Xun Liu
The Third Affiliated Hospital of Sun Yat-sen Univ.
Jinrong Liu
Sun Yat-sen Univ.
Mingzhi Mao
Sun Yat-sen Univ.
By combining two fast training methods, i.e., the weights direct
determination (WDD) method and Levenberg-Marquardt method, this
paper proposes a novel training algorithm called weights and structure
policy (WASP) for the three-layer feedforward neuronet, in addition to the
algorithm of weights and structure determination (WASD). Note that the
pruning-while-growing and second-pruning techniques are developed
and exploited in the WASP algorithm with the aim of achieving a neuronet
with a simple and economical structure. In order to verify the WASP
efficacy and to address the problem of chronic kidney disease (CKD) for
clinical applications in China, numerical experiments about estimating
glomerular filtration rate (GFR) by theWASP neuronet and traditional
GFR-estimation equations are conducted and compared. The experiment
results show that theWASP training speed is fast and that the estimating
accuracy via the WASP neuronet is around 20% higher than those via
traditional GFR-estimation equations. The WASP efficacy is thus
demonstrated with a significant value in GFR estimation of CKD for
clinical applications.
14:10-14:30
SatA06-4
Training RBFNN with reglarized correntropy criterion and its
application to foreign exchange rate forecasting
Yanjun Liu
Hebei Univ.
Hongjie Xing
Hebei Univ.
In the paper, a regularized correntropy criterion (RCC) for radial basis
function neural network (RBFNN) is proposed. In RCC, the Gaussian
kernel function is used to replace the Eculidean norm of the
sum-squared-error (SSE) criterion. Replacing SSE by RCC can improve
the anti-noise ability of RBFNN. Moreover, the optimal weights and the
optimal bias terms can be iteratively obtained by the half-quadratic
optimization technique. The effectiveness of the proposed method is
validated on the foreign exchange rate time series. In comparison with
the RBFNN trained with the SSE criterion, the proposed method
demonstrates better generalization ability.
14:30-14:50
SatA06-5
A neural network algorithm for fast pruning based on remarkable
analysis
Fujin Li
Hebei United Univ.
Meijie Huo
Hebei United Univ.
Hongge Ren
Hebei United Univ.
Wenbin Zhao
Hebei United Univ.
Neural network architecture designed for large-scale and the
generalization is poor, presents a neural network algorithm for fast
pruning based on significance analysis. The essence of the method is
based on large-scale neural network perceptron as the research object,
the constructor error curved surface model to analyze the network
connection weights of disturbance on the network output error caused by
the impact of hidden layer neurons carry remarkable analysis, direct
remove redundant hidden layer neurons, reach pruning the neural
network structure while improving its generalization ability pruning
purposes. Experimental results show that the conventional algorithm, the
optimal pruning neurosurgery in quick pruning network structure has a
simpler and faster learning speed.
14:50-15:10
SatA06-6
Soft Sensor Modeling of Mill Level Based on Deep Belief Network
Muchao Lu
Taiyuan Univ. of Tech.
Yan Kang
Taiyuan Univ. of Tech.
Xiaoming Han
Taiyuan Univ. of Tech.
Gaowei Yan
Taiyuan Univ. of Tech.
Accurate measurement of the mill level is a key factor to improve the ball
mill’s productive efficiency, safety and economy. Aiming at solving the
critical problem of the mill level soft sensor, feature extraction of the
processing parameters, a novel method based on Deep Belief Network
(DBN) is proposed. DBN is one of the deep learning methods, which
focuses on learning deep hierarchical models of data. In this paper, basic
features, namely power spectrum density are obtained from the vibration
signal of ball mill by Welch’s method firstly. Then DBN is built on the basic
features to learn high level deep features. Finally a supervised learning
algorithm named back propagation neural network is used to model the
relationships between extracted features and mill level. Experimental
results indicate that the DBN based method outperforms traditional
feature extraction methods.
SatA07
Room9A
Fault diagnosis and fault-tolerant control (I)
13:10-15:10
Chair: Tao Wang
Nanjing Univ.of Aeronautics and Astronautics
CO-Chair:
13:10-13:30
SatA07-1
Design and Research of an ARINC 429 Bus Testing System
Yunlin Luo
Coll. of Aviation Automatic
Xiaoqing Zhao
Coll. of Aviation Automatic
An ARINC429 bus testing system is designed based on FFT processor,
Book of Abstracts
which aims at the technology of ARINC429 bus data communication. It
controls tested module by controlling bus. In other words, the
performance of ARINC 429 bus is tested by testing address bus and data
bus. The testing system is based on ARINC429 bus specification and
adopts universal ARINC429 special component DEI1016 and BD429 to
form a core unit of the testing system. At last, it can achieve how to
diagnose and locate fault by using VISA technology of LABVIEW, expert
system and BP neural network.
13:30-13:50
SatA07-2
TS Fuzzy approach for Fault Detection in Nonlinear Systems with
Immeasurable State Variables
Muhammad Abid
Pakistan Institute of Engineering and
Applied Sciences
Talal Hussain
Pakistan Institute of Engineering and
Applied Sciences
Abdul Qayyum Khan
Pakistan Institute of Engineering and
Applied Sciences
The design of TS Fuzzy observer for disturbance rejection based on H1
optimization index is discussed in this paper. The disturbance rejection
observer for Takagi-Sugeno (TS) fuzzy system is designed with weight
function depending on immeasurable premise variables and the residual
generated is robust to disturbances. The linear matrix inequalities (LMI)
which will minimize the optimizing index has also been stated.
13:50-14:10
SatA07-3
Analysis on Shaft Torsion Response of 600MW Steam Turbine Unit
Under Quick Load Regulation
Hongwen An
North China Electric Power Univ., and
Beijing Energy Investment Holding Co.
Zhiyong Ma
North China Electric Power Univ.
Zhuang Li
North China Electric Power Univ.
Caimao Zhong
North China Electric Power Univ.
Ying Liu
North China Electric Power Univ.
The safe and stable operation of the large capacity thermal power unit
must be seriously affected by the rapidly changed load when the unit
participates in peak regulation. This paper takes a domestic 600MW
steam turbine unit as an example, sets up a mass-spring model with
lumped parameter method and calculates the torsional vibration
responses of the shafts with the method combined Riccati transfer matrix
method with Newmark-β method when the load rapidly changes. As a
result, the maximum torque of the shaft appears on the coupling between
the 2 # low pressure rotor and the generator rotor, the rotor's torsional
angles at the ‘maximum torque’ place are opposite when load rises and
falls, the amplitude of torque has a relationship with the power when the
load starts to change (The greater the power, the greater the torque.) and
the power frequency is not included in the frequency spectrum of the
torque.
14:10-14:30
SatA07-4
Fault Detection Based on Finite Impulse Response Adaptive Filter
for Satellite Attitude Control Systems
Tao Wang
Nanjing Univ. of Aeronautics and Astronautics
Yuehua Cheng
Nanjing Univ. of Aeronautics and Astronautics
Bin Jiang
Nanjing Univ. of Aeronautics and Astronautics
Ruiyun Qi
Nanjing Univ. of Aeronautics and Astronautics
In this paper a finite impulse response (FIR) filter for online adaptive
modeling of satellite attitude control systems is proposed, and a recursive
least squares (RLS) algorithm is used to adjust the adaptive FIR filter
coefficients for minimizing the output error between the monitored system
and the FIR filter. The fault information can be obtained through the
analysis of the adaptive FIR filter coefficients. This fault detection
technique is applied to the satellite attitude control system, and evaluate
the performance with failures. Simulation results demonstrate that the
method is effective in the fault detection and simple to implement.
14:30-14:50
SatA07-5
Research on restraining the end effect of EMD based on grey
prediction model
Yongtao Zong
Jiangnan Univ.
Yanxia Shen
Jiangnan Univ.
Zhicheng Ji
Jiangnan Univ.
Dinghui Wu
Jiangnan Univ.
Tinglong Pan
Jiangnan Univ.
Empirical Mode Decomposition(EMD) is an advanced method for
analyzing non-stationary signal, but there is an involved end issue in the
course of getting two envelops of the data using spline interpolation. In
this paper a novel method based on grey prediction model is proposed to
restrain the end effect of empirical mode decomposition. In the grey
prediction endpoint extension process, based on the theory of GM(1,1)
prediction model, the endpoints are extended respectively to approach
the variation tendency of the original data sequences. Simulation result
shows that the proposed method can restrain end effect effectively and
the parameters of grey prediction are easy to determine.
14:50-15:10
2014CCDC
A Self-adaptive Analysis Method of Fault Diagnosis in Roller
Bearing Based on Local Mean Decomposition
Jiying Wang
Wuhan Univ. of Science and Tech.
Zhenxing Liu
Wuhan Univ. of Science and Tech.
In view of the nonlinear and non-stationary characteristics of fault
vibration signal in roller bearing, a self-adaptive fault diagnosis method
known as LMD (Local mean decomposition) is proposed. Initially the
original vibration signal is decomposed into several stationary PF
(product function) which possessed physical meaning and a residual
component by using of LMD. Subsequently, the main components in fault
signal are determined by calculation of correlation factor of each PF with
the original signal aiming at obtaining amplitude and frequency
information. LMD is applied in analysis of simulation signals and fault
diagnosis of bearing outer-race. The results indicate that LMD method of
fault diagnosis in roller bearing is equipped with high fault recognition and
identification rate. The characteristics of mechanical fault signals can be
effectively extracted.
SatA08
Room9B
The finalist of Zhang Si-Ying Outstanding Youth Paper Award
13:10-15:10
13:10-13:30
SatA08-1
Dynamic boundary stabilization of Euler-Bernoulli beam through a
Kelvin-Voigt damped wave equation
Lu Lu
Beijing Institute of Tech.
Jun-Min Wang
Beijing Institute of Tech.
In this paper, we study the stability of a one-dimentional Euler-Bernoulli
beam coupled with a Kelvin-Voigt damped wave equation, where the
wave equation acts as a dynamic boundary feedback controller to
exponentially stabilize the Euler-Bernoulli beam. Remarkably, the
resolvent of the closed-loop system operator is not compact anymore. By
a detailed spectral analysis, we show that the residual spectrum is empty
and the continuous spectrum contains only one point. Moreover, we verify
that the generalized eigenfunctions of the system forms a Riesz basis for
the energy state space. It then follows that the C0-semigroup generated
by the system operator satisfies the spectrum-determined growth
assumption. Finally, the exponential stability and Gevrey regularity of the
system are established.
13:30-13:50
SatA08-2
Output Swarm Stability for High-order Linear Swarm Systems
Jianxiang Xi
High-Tech Institute of Xi’an
Xiaogang Yang
High-Tech Institute of Xi’an
Yukun Qiao
High-Tech Institute of Xi’an
Yanhong Zhang
High-Tech Institute of Beijing
Output swarm stability problems for high-order linear swarm systems with
directed interaction topologies are investigated. Firstly, sufficient
conditions for output swarm stability are presented, which are
independent of the dimensions of Jordan blocks of the Laplacian matrix.
Then, an approach is proposed to determine the absolute output motion.
Moreover, it is shown that swarm systems with the same initial states but
different balanced interaction topologies have the same absolute output
motion. Finally, a simulation example is given to demonstrate theoretical
results.
13:50-14:10
SatA08-3
Fault subspace selection and analysis of relative changes based
reconstruction modeling for multi-fault diagnosis
Chunhui Zhao
Zhejiang Univ., and Key Laboratory of
System Control and Information Processing
Online fault diagnosis has been a crucial task for industrial processes.
Reconstruction-based fault diagnosis has been drawing special
attentions as a good alternative to the traditional contribution plot. It
identifies the fault cause by finding the specific fault subspace that can
well eliminate alarming signals from a bunch of alternatives that have
been prepared based on historical fault data. However, in practice, the
abnormality may result from the joint effects of multiple faults, which thus
can not be well corrected by single fault subspace archived in the
historical fault library. In the present work, an aggregative
reconstruction-based fault diagnosis strategy is proposed to handle the
case where multiple fault causes jointly contribute to the abnormal
process behaviors. First, fault subspaces are extracted based on
historical fault data in two different monitoring subspaces where analysis
of relative changes is taken to enclose the major fault effects that are
responsible for different alarming monitoring statistics. Then, a fault
subspace selection strategy is developed to analyze the combinatorial
fault nature which will sort and select the informative fault subspaces that
are most likely to be responsible for the concerned abnormalities. Finally,
an aggregative fault subspace is calculated by combining the selected
fault subspaces which represents the joint effects from multiple faults and
works as the final reconstruction model for online fault diagnosis.
Theoretical support is framed and the related statistical characteristics
are analyzed. Its feasibility and performance are illustrated with simulated
multi-faults using data from the Tennessee Eastman (TE) benchmark
process.
SatA07-6
14:10-14:30
81
SatA08-4
Book of Abstracts
Mean-field backward stochastic differential equations with
uniformly continuous generators
Hancheng Guo
Shandong Univ.
Xiuyun Ren
Shandong Univ.
This paper mainly studies one dimensional mean-field backward
stochastic differential equations (MFBSDEs) when their coefficient g is
uniformly continuous in (y',y,z), independent of z'and non-decreasing in
y'. The existence of the solution of this kind MFBSDEs has been well
studied. The uniqueness of the solution of MFBSDE is proved when g is
also independent of y. Moreover, MFBSDE with coefficient g+c, inwhich c
is a real number, has non-unique solutions, and it’s at most countable.
14:30-14:50
SatA08-5
Transmission Data Compression of Remote Networked Control
Systems via Model Reduction Method
Libin Bai
Univ. of North Carolina at Charlotte
Shengguo Wang
Univ. of North Carolina at Charlotte
This paper proposes a new approach to reduce the data transmitted in
networked control systems (NCSs) via model reduction method. Based
on the controllability and observability of the remote controlled plant, the
"unimportant" information of system states vector is truncated by
balanced truncation method (BTM) before sending to the controller via
network. The exponential stability condition of the truncated NCSs is
derived via linear matrix inequality (LMI) forms. This method of data
truncation can usually reduce the time delay and further improve the
performance of the NCSs. Furthermore; the optimization of NCSs is
discussed by utilizing this fact. The simulation validates the correctness
of the results.
SatA09
Room10A
Cooperative Control in Complex Networks and Multi-agent
Systems(Invited Session)
13:10-15:10
Chair: Wenwu Yu
RMIT University
CO-Chair: Guanghui Wen
Southeast Univ.
13:10-13:30
SatA09-1
Distributed Adaptive Coordinated Tracking for Coupled
Nonholonomic Mobile Robots
Yilong Qiu
Xiamen Univ.
Fei Chen
Xiamen Univ.
Linying Xiang
Xiamen Univ.
In this paper, a coordinated tracking control problem is studied for
coupled nonholonomic mobile robots with limited information of a
reference trajectory. A distributed control law with adaptive time-varying
gains is proposed to guarantee that the robots can form a prespecified
geometric pattern while the centroid of the geometric pattern can track
the reference signal. By designing the adaptive control gains, the control
algorithm of this paper does not require the global knowledge of the
upper bound on the leader's control input. The stability of the system is
proved with the aid of Lyapunov techniques. Finally, a simulation example
is presented to verify the theoretical results.
13:30-13:50
SatA09-2
Averaging Method for Consensus of Fast Switching Multi-agent
Networks with Communication Delay
Qiang Jia
Jiangsu Univ.
Wallace K. S. Tang
City University of Hong Kong
This work investigates the consensus problem of a group of nonlinear
agents over a fast-switching network. The communications between
agents are bidirectional and time delay exists. The topology, which
specifies the communications, is assumed to be switched within a finite
set of topologies, reflecting a practical fast-varying network environment.
Based on the Lyapunov functional stability theory and the averaging
technique, a relation between the consensus condition for the
time-averaged network and the studied network is established. It reveals
that, when the switching frequency is high enough, the consensus of the
time-averaged network induced the consensus of its counterpart. This
result has been verified and illustrated by numerical simulations. It is also
interesting to note that consensus is possible even when all networks are
disconnected.
13:50-14:10
SatA09-3
Leader-following control of second-order integrator systems using
binary information
Junjie Fu
Peking Univ.
Jinzhi Wang
Peking Univ.
In this paper, we solve a leader-following problem for second-order
integrator systems using only binary relative position and velocity
measurements. The leader is allowed to be dynamically evolving with a
bounded acceleration which is unknown to any of the followers. By
properly choosing the control gains, we prove that despite the fact that
only very coarse relative information is available, the leader-following
problem can still be solved by the proposed distributed controller. A
simulation example is provided to illustrate the results.
14:10-14:30
SatA09-4
82
2014CCDC
Node-to-Node Consensus of Multi-Agent Systems with Switched
Pinning Linkes
Guanghui Wen
Southeast Univ.
Wenwu Yu
Southeast Univ.
Jingyao Wang
Peking Univ.
Dabo Xu
Nanjing University of Science and Technology
Jinde Cao
Southeast Univ.
This paper considers the problem of distributed node-to-node consensus
for general linear multi-agent systems with switched pinning links. The
control goal in the present work is to make each follower track the
corresponding leader asymptotically under the condition that only a small
fraction of followers can sense their corresponding leaders through some
switched communication channels. By using tools from M-matrix theory
and switched systems theory, it is proved that such a node-to-node
consensus can be achieved if each follower can be directly or indirectly
influenced by at least one leader, and the inner linking matrix as well as
coupling strength are appropriately designed.
14:30-14:50
SatA09-5
Stochastic
Consensus
of
Linear
Multi-Agent
Systems:
Communication Noises and Markovian Switching Topologies
Long Cheng
Institute of Automation Chinese Academy of Scie.
Yunpeng Wang
Institute of Automation Chinese Academy of Scie.
Zeng-guang Hou Institute of Automation Chinese Academy of Scie.
Min Tan
Institute of Automation Chinese Academy of Scie.
This paper studies the mean square and almost sure consensus of
discrete-time linear multi-agent systems with communication noises
under Markovian switching topologies. By a sophisticated
stochastic-approximation type protocol, the closed-loop dynamics of this
linear multi-agent system can be transformed into a discrete-time
first-order integral multi-agent system. It is proved that if all roots of a
polynomial, whose coefficients are the parameters in the gain vector of
the proposed protocol, are in the unit circle, there is certain equivalence
between the consensus of original linear multi-agent system and the
consensus of transformed first-order integral multi-agent system. Then
some sufficient conditions on the mean square/almost sure consensus of
linear multi-agent systems can be obtained accordingly. Finally,
theoretical analysis is verified by simulation examples.
14:50-15:10
SatA09-6
Time Synchronization in WSNs with Noise: A Consensus Based
Approach
Yifei Lang
Southeast Univ.
Chuan Wang
Southeast Univ.
Ying Wan
Southeast Univ.
This paper solves the problem of time synchronization in wireless sensor
networks (WSNs) with noise. The consensus based approach is an
improved average value based protocol. This algorithm, compared with
the existing consensus-based synchronization approach, has the
advantage of being totally distributed, asynchronous and robust to
process and measurement noise. The main idea of this algorithm is to
average the local information when a node has received all its neighbors'
information with taking noise into account to achieve a global
synchronization. In particular, the simulation results can prove that all the
nodes' local information may converge to the average value or a bounded
value range, which determines by the bound of noise.
SatA10
Room10B
Advances in Switched Systems and Switching Control(Invited
Session)
13:10-15:10
Chair: Dan Ma
Northeastern Univ.
CO-Chair: Jie Lian
Dalian University of Technology
13:10-13:30
SatA10-1
Robust Reliable Guaranteed-cost H∞ Control for Delta Operator
Switched Linear Systems
Hao Hu
Nanjing Univ. of Aeronautics and Astronautics
Bin Jiang
Nanjing Univ. of Aeronautics and Astronautics
Hao Yang
Nanjing Univ. of Aeronautics and Astronautics
This paper concerns the robust reliable guaranteed-cost H∞ control
problem for delta operator switched linear systems with actuator faults.
The upper bound of the guaranteed-cost function is determined and the
closed-loop system can be guaranteed some H∞ performance by using
time and state switching control approaches. Finally, a simulation
example is provided to illustrate the proposed methods.
13:30-13:50
SatA10-2
Stabilization
for
Switched
Linear
Systems
Subject
to
Network-Induced Delays
Dan Ma
Northeastern Univ.
In this paper, we investigate the network-dependent hybrid controller
design for a class of networked switched linear control systems.
Sampling and network-induced delay cause the asynchronous motions
between switched subsystems and the candidate controllers in both the
state measurement and the switching signal. We rewrite the original
networked switched linear systems by sampled asynchronous switched
linear systems with time-varying delay. Using the asynchronous system
method, we give network-dependent conditions to guarantee the system
Book of Abstracts
is exponentially stable, and the hybrid controller design method is also
proposed.
13:50-14:10
SatA10-3
Positive l1 observer design for positive switched systems with
time-varying delays via delta operator approach
Shuo Li
Nanjing Univ. of Science and Technology
Zhengrong Xiang
Nanjing Univ. of Science and Technology
Hamid Reza Karimi
Univ. of Agder
This paper investigates the problem of l1 observer design for positive
switched systems with time-varying delays via delta operator approach.
The purpose is to design a positive observer such that the estimated error
exponentially converges to zero and the l1-gain from the disturbance
input to the estimated error is less than a prescribed level. Based on the
average dwell time approach, a sufficient condition for the existence of a
positive l1 observer for the considered system is established by
constructing an appropriate co-positive type Lyapunov-Krasovskii
functional in delta domain. Finally, a numerical example is presented to
explicitly demonstrate the effectiveness and feasibility of the proposed
method.
14:10-14:30
SatA10-4
Observer-based sliding mode control for switched stochastic
systems under asynchronous switching
Xiaona Wang
Dalian University of Technology
Can Li
Dalian University of Technology
Jie Lian
Dalian University of Technology
Feng Zhang
Dalian University of Technology
This paper is concerned with the observer-based sliding mode control
(SMC) for switched stochastic systems with unmeasureable states under
asynchronous switching. The state observers are designed to estimate
the system states, and its switching legs behind that of the system. Based
on the state estimate, the SMC problem is considered. First an integral
type sliding surface is constructed and sufficient conditions for
mean-square exponential stability of the closed-loop system are derived,
even the observer switchings are asynchronous with those of
subsystems. Variable structure controllers are designed to drive the state
of switched systems to reach the sliding surface in finite time.
14:30-14:50
SatA10-5
Cooperative Output Regulation Problem of a Class of Linear
Multi-agent System with Switched Exosystems
Hongwei Jia
Northeastern Univ.
Xia Wang
Northeastern Univ.
Jun Zhao
Northeastern Univ.
In this paper we investigate the cooperative output regulation problem of
linear multi-agent systems with a switched exosystem which is assumed
that some subsystems are Hurwitz stable, some are neutral stability, and
the others are unstable. We will deal with two difficulties in the paper. One
is the complexity of the switched exosystem trajectory. The other is the
limited information exchanges of different agents. Firstly, the switched
exosystem is less than or equal to an bounded function by satisfying a
switched law of stable subsystem and unstable subsystem running time
ratio. Then, by devising a distributed switched observer to estimate the
states of the exosystem, we can solve the output regulation problem by
distributed state feedback control. At last, a numerical simulation example
is provided to demonstrate the effectiveness of the results.
14:50-15:10
SatA10-6
Stabilization of a Class of State-Constrained Nonlinear Switched
Systems in Lower Triangular Form
Ben Niu
Bohai Univ.
Yanli Liu
Bohai Univ.
In this paper, we deal with the stabilization problem for a class of switched
nonlinear systems in lower triangular form subject to constraints on the
state. To prevent state from transgressing the constraints, we employ the
ideal p-times differentiable unbounded functions, which grow to infinity
when their arguments approach domain boundaries. Based on the
backstepping technique, we propose a constructive method to design
controllers for the switched system. Furthermore, we show that
asymptotic stabilization is achieved without violation of the constraints
and all closed-loop signals remain bounded, when a mild requirement on
the initial values is imposed. Finally, the effectiveness of the proposed
results is demonstrated using a simulation example.
SatA11
Room11B
Planning and Optimization(Invited Session)
13:10-15:10
Chair: Neng-Fa Zhou
City University of New York
CO-Chair: Roman Bartak
Charles University
13:10-13:30
Energy-aware Scheduling Model and Optimization
Flow Shop Problem
Min Dai
Nanjing Univ. of Aeronautics
Dunbing Tang
Nanjing Univ. of Aeronautics
Haitao Zhang
Nanjing Univ. of Aeronautics
Jun Yang
Nanjing Univ. of Aeronautics
SatA11-1
for a Flexible
&
&
&
&
Astronautics
Astronautics
Astronautics
Astronautics
83
2014CCDC
Nowadays, manufacturing enterprises consumes a significant amount of
energy; consequently, it has a significant potential to reduce resource
consumption. However, key performance indicators of the traditional
production do not completely take into account environmental impacts like
energy consumption in production planning and scheduling. Against this
background, an energy-aware scheduling model for a flexible flow shop
problem is proposed. First, a mixed integer programming model based on
energy savings is established to minimize energy consumption and
makespan. Then, an improved heuristic algorithm, which combines
genetic algorithm with simulated-annealing algorithm, is adopted to solve
the mathematical model. Finally, a case study in a plant is tested. The
experimental results show effectiveness of the model.
13:30-13:50
SatA11-2
A Controller for Autonomous Landing of AR.Drone
Roman Barták,
Charles University in Prague,
Andrej Hraško
Charles University in Prague,
David Obdržálek
Charles University in Prague,
In recent years, many so called “robotic toys” appeared at the market.
Though these devices are called toys and they are primarily intended for
games, they provide a set of sensors and actuators that can be controlled
from a computer. Hence these robotic devices may serve as
non-expensive research tools, in particular for developing advanced
software for controlling them. This paper describes a controller for landing
of an AR.Drone, a quadricopter marketed by Parrot Inc. This controller is
designed for fully autonomous landing to a given visual pattern and for
hovering above the pattern. We will show how to collect input information
for the controller and how to use it in a classical PID controller.
13:50-14:10
SatA11-3
On Scheduling Pseudo Just-in-Time Jobs on Single Machine
Yuka Kawamata
IT Frontier Corporation
Shao-Chin Sung
Aoyama Gakuin University
We are dealing with the problem of maximizing the weighted number of
pseudo just-in-time jobs on single machine model. The concept of
pseudo just-in-time is a relaxation of just-in-time. In our formulation, each
job is associated with a time-window instead of due date, and the lengths
of all such time-windows are bounded above by a certain value given in
advanced. A job is called pseudo just-in-time if it is completed within its
time-window. We show that the problem is polynomial time solvable, and
moreover, we show some results on computational complexity for more
general settings.
14:10-14:30
SatA11-4
Unifying Constraint Satisfaction and Recommendation for
Amusement Park Navigation
Hayato Ohwada
Tokyo University of Science
Hiroki Igarashi
Tokyo University of Science
Tsukasa Tanaka
Tokyo University of Science
Hiroyuki Nishiyama
Tokyo University of Science
Unlike conventional traveling salesman problems (TSPs) for
transportation, amusement park navigation using a smart phone needs
both efficiency and preference for personal adaptation. In addition, a
dynamic treatment for waiting time estimation and reservation ticket use
should be incorporated into a minimum path finding algorithm. This study
attempts to unify an optimization method and recommender system
facility for real-time support in Tokyo Disneyland navigation. We have
developed a smart phone web application in which users select
attractions, and then the application suggests reasonable and enjoyable
routes. The experiment was conducted to demonstrate the novel
functionality and performance of the proposed application.
14:30-14:50
SatA11-5
Solving Several Planning Problems with Picat
Neng-fa Zhou
The City University of New York
Hakan Kjellerstrand
Independent Researcher, hakank.org
In this paper, we present programs in Picat for solving three planning
puzzles, including 15-puzzle, Klotski, and the Rubik's cube. All of these
programs use the planner module of Picat. For a planning problem, we
only need to specify the conditions on final states and the set of actions,
and call the planner on an initial state to find a plan or a best plan. The
planner module uses tabling. The planner tables states encountered
during search and performs resource-bounded search} to fail states that
cannot lead to a final state with the available resources. The Picat
programs for the problems are straightforward. The programs for
15-puzzle and Klotski are very efficient. The Rubik's cube program has
succeeded in solving instances that require 14 or fewer moves. As
computers have more and more memories, we believe that the tabling
approach to planning will become increasingly more effective and
important.
14:50-15:10
SatA11-6
My First Look At Picat as a Modeling Language for Constraint
Solving and Planning
Håkan Kjellerstrand
Independent Researcher
Picat is a new and interesting programming language, combing many
different programming paradigms: logic programming, imperative
Book of Abstracts
programming, functional programming, constraint programming, and
tabling. This paper is a personal discussion of some of Picat's features
with several code examples.
SatAIS
Interactive Session
The lobby of the 4th floor
13:10-15:10
SatAIS-01
Time series predictive wavelet neural network control method
Jingwei Liu
Beijing University of Tech.
Pu Wang
Beijing University of Tech.
Hong Liu
Beijing University of Tech.
Lei Yang
Beijing University of Tech.
Vector time series autoregressive moving average predictive and wavelet
neural networks PID method is proposed in order to solve the
requirement of optimal parameters real-time calculation in various control
fields (engineering systems, economics systems, etc.), especially to
solve the instability and poor control performance problem of control
parameters online-tuning in engineering practice. Based on additional
wavelet neural networks and vector autoregressive moving average
predict method and comparative experiments of relative methods, better
feasibility, reliability, speed, lower static error, more flexible parameter
adjustment ability are verified.
SatAIS-02
System Control and DC Voltage Control Method for STACOM Based
on Hybrid Multilevel H-Bridge Converter
Zaifu Wang
Xi’an Jiaotong Univ.
Aimin Zhang
Xi’an Jiaotong Univ.
Hang Zhang
Xi’an Jiaotong Univ.
Jingjing Huang
Xi’an Jiaotong Univ.
This paper presents an improved structure for static synchronous
compensator (STATCOM) system based on hybrid multilevel H-bridge
converter. In the new structure, the chosen of dc capacitor capacitance is
considered for every module, which will reduce the dc capacitor
capacitance and reduce the cost of the system. A novel system control
and dc capacitor voltage balance control strategy is presented for the
new system. The control includes two levels. Upper level use direct
current control realize inactive current control, and lower level use a PLL
of compensating current realize the dc voltage control. Simulation results
show that the new control method can not only compensate reactive
power but also can maintain dc voltage at a given value.
SatAIS-03
Multi-Sensor Fusion Based on Unscented Strong Tracking
Information Filter
Tao Wen
Henan Univ.
Xianfeng Tang
Zhejiang Univ.
Quanbo Ge
Hangzhou Dianzi Univ.
Information fusion for nonlinear systems is one of the challenging topics
in target tracking recently. Aiming at a kind of multi-sensor target tracking
systems with correations between process and measurement noises, we
study the design of a decentralized fusion algorithm based on the
unscented strong tracking filter with correlated noises (USTF-CN). Firstly,
the information form of USTF with correlated noises is presented in order
to improve numerical performance. Subsequently, a decentralized
nonlinear fusion algorithm is proposed by using USTIF-CN and
decentralized fusion structure. Finally, two simulation examples based on
target tracking are demonstrated to verify the efficiency of the proposed
fusion algorithms.
SatAIS-04
Adaptive Conversion of the Leader in Multi-robot Obstacle
Avoidance
Jia Yan
Anshan Normal College of Higher Vo
cational Technical Coll.
Xiaonanr Wang
Anshan Normal College of Higher Vo
cational Technical Coll.
Xin Yang
Crane Control Equipment Co.Ltd.
Through the research of formation control of multi-robot system, aimed at
the fundamental problem that the formation control strategy of the
traditional single navigator methods cannot break away from its
dependence on the navigator, proposed an optimal control strategy,
which is Multi-Priority Multi-Ponstraint (MPMC)of a new type of navigator
method in the robot obstacle avoidance.
SatAIS-05
Multivariable Inverse Control for Glutamic Acid Fermentation
Process
Shouping Guan
Northeastern Univ.
Wenlong Wang
Northeastern Univ.
Fuqiang You
Northeastern Univ.
To improve the performance of the glutamic acid fermentation process, a
multivariable adaptive inverse control method is proposed considering
nonlinear and multivariable coupling of the fermentation process.
According to the characteristics of the fermentation process, the kinetics
84
2014CCDC
model and the simplified model are given and the reversibility of the
model is analyzed. An adaptive inverse control system of glutamic acid
fermentation process is designed based on the research of multivariable
adaptive inverse control, and a disturbance eliminator is designed in a
practical engineering system to further improve control accuracy.
Simulation results show that the proposed method achieved a very good
control in glutamic acid fermentation process, the disturbance has been
well suppressed, the system has strong robustness, and the structure is
simple and easy to project implementation.
SatAIS-06
Maneuver Target Tracking Algorithm Based On Intelligent Fuzzy
Adaptive Filtering
Xiaolu Wu
The Second Artillery Engineering Coll.
Xiaohu Fan
The Second Artillery Engineering Coll.
Liying Liu
The Second Artillery Engineering Coll.
Guanchao Wei
The Second Artillery Engineering Coll.
To improve Maneuver Target Tracking Algorithm ， The multi-model
intelligent input estimating method based on fuzzy logic is proposed. A
fuzzy inference system is constructed with the input of the residual of
observation and the residual variation. Then we could get the real-time
estimate of the maneuver input of the model according to the output of
the system. The algorithm is optimized by the parameter design of the
fuzzy system using GA, and the simulation results proved its obvious
improvement.
SatAIS-07
Extreme learning machine-based stable adaptive control for a class
of nonlinear system
Haisen Ke
China Jiliang Univ.
Wenrui Li
China Jiliang Univ.
Extreme Learning Machine (ELM), recently developed by Huang et al.,
has been demonstrating an exciting learning algorithm for Single hidden
Layer Feedback Neural Networks (SLFN). In this paper, the ELM has
been introduced to approximate the unknown functions, which may not
be parameterized and so make it impossible to develop an adaptive
controller. Besides, the Nussbaum-type gain method is also incorporated
into the controller design to counteract the unknown coefficient of the
control section. It is proved that the proposed approach is able to ensure
boundedness of all the signals in the closed-loop system, and the state
variables converge to zero asymptotically.
SatAIS-08
Robust adaptive observer for fractional order nonlinear systems: an
LMI approach
Chuang Li
Hainan Univ.
Shanghai Jiao Tong Univ.
Jingcheng Wang
Shanghai Jiao Tong Univ.
This paper is concerned with the parameter and state estimation problem
in the presence of the observer gain perturbations for a class of fractional
order nonlinear systems which are linear in the unknown parameters and
nonlinear in the states. According to the equivalent frequency distributed
model of fractional integrator, the direct Lyapunov approach is adopted to
derive a nonlinear adaptive non-fragile observer. The gain for the
non-fragile observer is systematically obtained in terms of linear matrix
inequality (LMI). A numerical example is provided to illustrate the
efficiency and validity of the proposed approach.
SatAIS-09
Research on adaptive feedforward control strategy of engine based
on GT-Power and Simulink simulation
Kunying Li
South China University of Tech.
Bing Xiao
South China University of Tech.
The paper provides the adaptive feedforward control strategy of engine
based on GT-power and simulink coupling simulation. This control
strategy makes exhaust engine emission to meet the Chinese state
emission standard V and pass the European transient cycle (ETC) test
during the transient conditions. The results in load and speed sudden
changing prove that the coupling model is suitable for developing the
adaptive feedforward control strategy.
SatAIS-10
Adaptive second-order leader-following consensus of nonlinear
multi-agent systems with time-varying delay
Hongjie Li
Jiaxing Univ.
Lihua Xu
Jiaxing Univ.
Libin Xiao
Jiaxing Univ.
Li Lin
Jiaxing Univ.
The paper investigates the second-order leader-following consensus
problem of nonlinear multi-agent systems with time-varying delay. Based
on graph theory and the neighbor-based coupling rule, the adaptive
control strategy is proposed for the following agents to track the leader,
the consensus condition is derived in terms of linear matrix inequalities,
which can be easily solved by various convex optimization algorithms. It
is worth noting that the interaction diagraph is not necessarily strongly
connected or contains a directed spanning tree. Some simulation
examples are provided to show the efficiency of the control scheme.
Book of Abstracts
SatAIS-11
Developing Support System for Cover Design with Interactive
Evolutionary Computation
Fei Yu
Wuhan Univ.
Minnan Normal Univ.
Yuanxiang Li
Wuhan Univ.
Li Kuang
Wuhan Univ.
Zhijie Li
Wuhan Univ.
we developed an automatic cover design supporting system for
non-professional users to create their preferred cover designs in a
user-oriented way by using Interactive Genetic Algorithm(IGA).Different
from the template design pattern, our system allows an interaction
between the algorithm and the Decision Maker(DM).It allows the users to
take into account their preferences at each generation of IGA.In order to
avoid the fatigue of the users, a novel evaluation model consisting of DM
evaluation and machine evaluation is applied.The whole population is
classified into clusters by the K-means clustering algorithm and only the
most representative individual of each cluster is evaluated by the DM.The
support system is applied to a book cover design.The results show that
the proposed IGA is able to capture preferences of user in a reasonable
number of iterations.
SatAIS-12
Reinforcement Learning Control for Gas Collector Pressure of Coke
Ovens
Bin Qin
Hunan University of Tech.
Leqiang Dai
Hunan University of Tech.
Pengcheng Li
Hunan University of Tech.
Wangli Zhu
Hunan University of Tech.
Xin Wang
Hunan University of Tech.
Due to nonlinear and strong coupling of coke ovens, a distributed
reinforcement learning control algorithm based on a radial basis function
(RBF) for gas collector pressure control was proposed, in which the
discrete space was dealt with by RBF and the critic-actor method was
used to update the parameters of search network and evaluation network
of the controller. Moreover, the control strategies of the controller were
optimized by trial and error in the strong interference environment. The
simulation of gas collector pressure control of coke ovens has shown that
the algorithm can effectively solve the coupling problem, and has better
stability.
SatAIS-13
Momentum Management of Chinese Space Station Based on Robust
H-infinite
Yue Lin
Beijing Institute of Control Engineering
Yingmin Jia
BUAA 7th research division
Yanan Gao
Beijing Institute of Control Engineering
Songtao Fan
Beijing Institute of Control Engineering
For the requirement of multi-structure architecture, a controller based on
robust H_∞ is proposed for LVLH angular momentum Management
control method. The method is characterized by a combination of robust
control and classical pole placement, and gives the system more
robustness of parameter variation. Numerical simulation based on
accurate dynamic model is proposed. Simulation result shows that
controller meets the requirement of different structure of Chinese space
station, and do not need to change control rate of system.
SatAIS-14
μ-synthesis Non-fragile Robust Design for a Fan Control System
Qinghai Heng
Beijing Information Science and Technology Univ.
Jing Lu
Beijing Information Science and Technology Univ.
Li Li
Beijing Information Science and Technology Univ.
Huan Cao
Beijing Information Science and Technology Univ.
Non-fragile robust control problem of a fan system is studied. It is pointed
out that this problem of the fan system is really a non-fragile robust
performance problem, the problem of the fan control system with both
non-fragile robust stability and performance requirements (bandwidth and
other performances). It is also suggested that the design of the
non-fragile robust performance of the fan system can be formulated as a
μ-synthesis problem, if the uncertainty weighting function and the
performance weighting function to the fan system bandwidth and
disturbance attenuation are revised appropriately. The μ-synthesis
non-fragile robust PI controllers of the fan system are solved. Results of
the design look as if they were normal PI controllers, but their control
quality, robustness are better than the latter, and their structures are
simple, definite, useful etc. The results show that the proposed method to
the fan control system is efficient and feasible.
SatAIS-15
H2 controller design of linear systems with time-varying
uncertainties and input quantization
Bochao
Nanjing University of Information Sciences & Tech.
Zheng
Yuanlu Li
Nanjing University of Information Sciences & Tech.
Ning Sun
Nanjing University of Information Sciences & Tech.
The paper considers the robust H2 state feedback control design for a
class of linear uncertain systems with input quantization. The
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uncertainties are assumed to be time-varying, unknown, but bounded.
The state feedback controller includes two parts. The first part, U1(t),
whose gains updating automatically between the lower bounds and upper
bounds of uncertain parameters, is obtained according to linear matrix
inequalities conditions. Such design purpose is to guarantee the robust
stability and U2 performance. The second part, U2 (t) is designed to
eliminate the effect of the quantization error. The main feature of this
paper is that a switching mechanism is introduced effectively to determine
which bound of uncertain parameters is active in the process of control at
each time instant. Finally, a numerical example is given to demonstrate
the effectiveness of the proposed scheme.
SatAIS-16
Multiobjective H2/H∞ Synthesis via Group-Preserving Scheme
Bin Liu
Northeast Petroleum Univ.
Jiuqiang Sun
Northeast Petroleum Univ.
Yangyang Cui
Northeast Petroleum Univ.
Wei Li
University of Sheffield
In this article, we provide a numerical method for the mixed H2/H∞
synthesis minimizing the H2 norm of one transfer function while imposing
restriction on H∞ norm of the other transfer function. The mixed H2/H∞
robust controller with degree constraint can be designed by solving the
nonlinear equations, where a group-preserving scheme is introduced.
Three examples are used to investigate the numerical characteristics of
new proposed method, also illustrating the effective of the proposed
technique.
SatAIS-17
Static and Reduced-Order Stabilizers Based on Improved State
Coordinates Transformations
Haibin Shi
Northeastern Univ.
Improved state coordinates transformations are used to design static and
reduced-order dynamical stabilizers for linear time invariant (LTI) system.
Free variable matrices are proposed in the transformations to stabilize
pivotal submatrices of new state space representations. The stabilizers
can be determined if corresponding linear matrix inequalities (LMIs) are
feasible.
SatAIS-18
Robust H ∞ Control for Uncertain Continuous-time Singular
Systems with Circular Pole Constraints
Lingqi Meng
Xi’an Jiaotong Univ.
Zhaoqiang Ge
Xi’an Jiaotong Univ.
This paper focuses on the problem of the robust H∞ control with circular
pole constraints in uncertain singular systems. Firstly, the concept of
quadratic d stablizability with an H∞ norm-bound is introduced for the
uncertain continuous-time singular system. Secondly, the robustH ∞
control problem is solved in the uncertain continuous-time singular
systems, on the basis of circular pole constraints. At last, on the notion of
quadratic d stablizability with anH∞ norm-bound, we gain the state
feedback controllers for uncertain singular systems such that the
closed-loop singular systems are regular and impulse-free, and the
closed-loop poles are located within a preassigned circular region, and
the H∞ norm-bound of the closed-loop transfer function matrix is strictly
less than a given positive constant for all admissible uncertainties.
SatAIS-19
Quantized H∞ control for stochastic nonlinear networked systems
Huaicheng Yan
Key Lab. of Advanced Control and Optimization f
or Chemical Processes of Ministry of Education
East China Univ. of Science and Technology
Hongbo Shi
Key Lab. of Advanced Control and Optimization f
or Chemical Processes of Ministry of Education
East China Univ. of Science and Technology
Hao Zhang
Tongji University
Haitao Zhao
Key Lab. of Advanced Control and Optimization f
or Chemical Processes of Ministry of Education
East China Univ. of Science and Technology
In this paper, we are concerned with the quantized H1 control problem for
a class of stochastic systems with random communication delays. The
system under consideration involves signals quantization, Itˆo stochastic
disturbance as well as random communication delays. The measured
output and the control input quantization are considered simultaneously.
We aim at designing an observer-based controller such that the dynamics
of the filtering error is guaranteed to be exponentially stable in the mean
square, and a prescribed H1 disturbance attenuation level is also
achieved. Finally, a numerical example is given to illustrate the
effectiveness of the proposed method.
SatAIS-20
Stabilization Control for LPV Systems with Time Delay and Actuator
Saturation
Xiaochao Dou
Harbin Institute of Technology Shenzhen Gradu
ate School
Rui Zhang
Shenzhen Institutes of Advanced Tech.
Ying Zhang
Harbin Institute of Technology Shenzhen Gradu
ate School
Book of Abstracts
The stabilization control for a class of linear parameter-varying (LPV)
systems with time delay and actuator saturation is investigated in this
paper. Based on Lyapunov stability theory and linear matrix inequality
(LMI) technique, a delay-dependent stability sufficient condition is
obtained by using the idea of delay partition and convex optimization
approach. Furthermore, the estimation of the domain of attraction and
state feedback stabilization controller design approaches are presented.
Finally, a numerical example is proposed to demonstrate the
effectiveness and feasibility of the presented results.
SatAIS-21
A Sharper Parameter Bound for Belgian Chocolate Stabilization
Problem
Wang Li
East China Normal Univ.
Wensheng Yu
East China Normal Univ.
In this paper, we study the Belgian Chocolate Stabilization Problem. By
using a complex analysis method, following Hempel and Smith’s
technique, we compute the parameter bound of the stabilization problem
ultimately. A more sharper bound for this parameter is obtained.
SatAIS-22
Some Remarks on Simultaneous Stabilization Problems of Linear
Systems
Qiang Guan
Chinese Academy of Scie.
Guannan He
Beijing University of Chemical Tech.
Wang Li
East China Normal Univ.
Wensheng Yu
East China Normal Univ.
In this paper, based on the results of complex analysis, we address and
analyze some conclusions proposed by V.Blondel et al., which concern
the simultaneous stabilization of three linear systems and a special
bistabilization problem, named as “Chocolate Problem”. As for the
simultaneous stabilization problem of three linear systems, it is shown
that there is a slight flaw in the sufficiency part of Blondel’s proof. On the
other hand, the claim is present, which illustrates that the theoretical
upper bound of δ in Chocolate Problem given by Blondel et al. is not
correct according to the work by Bergweiler et al. Finally, the analysis to
the new record proposed by Boston on the numerical bound is given,
which shows the new bound is also not correct.
SatAIS-23
H ∞ Controller Design for A Ball and Plate System Using
Normalized Coprime Factors
Haiqi Lin
Tianjin University of Technology and Education
Shigang Cui
Tianjin University of Technology and Education
Lihui Geng
Tianjin University of Technology and Education
Yongli Zhang
Tianjin University of Technology and Education
In this paper, we discuss how to synthesize a stabilizably robust controller
for a ball and plate system (BPS). In order to reduce the fragility in its
robust controller synthesis, a loop-shaping method in terms of a
normalized right coprime factor (NRCF) uncertainty description for the
BPS is thus employed. In effect, the design of weighting functions for the
BPS loop-shaping is a decisive factor to determine good performance of
the resulting closed-loop system. As a result, the well-known lead-lag
series compensation design methods are innovatively adopted to obtain
appropriate pre and post compensators as the weighting functions to
guaranteed the BPS time-domain performance requirements. Finally, a
numerical simulation on the BPS is used to verify the effectiveness of the
proposed design method for the shaping weighting functions.
SatAIS-24
Robust Controller Design for a Morphing Aircraft Based on SRAD
Jie Zhang
Beijing University of Aeronautics and Astronautics
Sentang Wu
Beijing University of Aeronautics and Astronautics
Military and civil aviation are requiring higher performance for the aircrafts
in recent years. The morphing techniques can effectively improve
aircraft’s performance to meet the customer’s multi-mission requirement
for the aircraft. To get the optimal aerodynamic performance under
different flight conditions, the aircraft must change its aerodynamic
configuration adaptive to specific condition. In the changing process, the
aircraft’s characteristics, such as aerodynamic coefficients, center of
weight, and moment of inertia, will change significantly. A robust controller
for the variable-sweep and variable-span aircraft is designed based on
the Stochastic Robustness Analysis and Design (SRAD) method. The
morphing and maneuvering process is simulated with a morphing UAV’s
nonlinear model. The results show that the pitch angle can track step
command during the aircraft’s morphing process, and the controller has
strong robust performance.
SatAIS-25
Based on single-stage multiplier CPS-SPWM chain SVG System
Yong Zhang
University of Science and Technology Liaoning
Shengli Bao
University of Science and Technology Liaoning
With energy efficient power systems and the increasing capacity
requirements, chain SVG more widely and gradually become a hot
research. SVG device in order to achieve high-performance real-time
control, Modulation technique is an important part of the chain of SVG,
this paper discusses a single-stage multiplier CPS-SPWM technology
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superiority to DSP28335 as the main chip, single-stage multiplier
CPS-based SPWM chain SVG implementation, and through theoretical
comparison with MATLAB simulation verify the monopole harmonic
progression in the level and harmonic content of the superiority.
SatAIS-26
Intelligent Decoupling for Flatness and Gauge Control System in
Hot Strip Rolling
Boqun Li
University of Science and Technology Liaoning
Chunlian Jiang
University of Science and Technology Liaoning
Xiangwen Fan
University of Science and Technology Liaoning
Daqing Zhang
University of Science and Technology Liaoning
Hot strip rolling flatness and gauge complex system has the features of
strong coupling，uncertainty and nonlinearity .To improve the control
accuracy, a strip flatness and gauge decoupling control method is put
forward based on QDRNN-PID. The simulation results compared to the
traditional PID control show that the decoupling control strategy has
better control effect, adaptive tracking ability and fast response, also
improve the control accuracy of strip flatness and gauge system
effectively.
SatAIS-27
A Hybrid Model for Furnace Exit Gas Temperature Monitoring Based
on CM-LSSVM-PLS
Zhengfeng Liu
Shanghai Jiao Tong Univ.
Jingcheng Wang
Shanghai Jiao Tong Univ.
Yuanhao Shi
Shanghai Jiao Tong Univ.
Bohui Wang
Shanghai Jiao Tong Univ.
Langwen Zhang
Shanghai Jiao Tong Univ.
Monitoring system of furnace ash fouling is the foundation of the
soot-blowing operation on furnace area. For furnace exit gas temperature
(FEGT) is the key parameter in monitoring system, a new
CM-LSSVM-PLS method is proposed to predict FEGT. In the process of
CM-LSSVM-PLS method, considering the characteristics of operational
data, c-means (CM) cluster algorithm is used to partition the training data
into several different subsets. Submodels are subsequently developed in
the individual subsets based on least squares support vector machine
(LSSVM). Finally, partial least squares (PLS) algorithm is employed as
the combination strategy. The single LSSVM is established to make a
comparison with CM-LSSVM-PLS method. The proposed model is
verified through operation data of a 300MW generating unit. The
comparison result shows that the new CM-LSSVM-PLS method can
predict FEGT accurately while the time consumed in modeling decrease
drastically.
SatAIS-28
Ammonia control of a wastewater treatment process Using Model
Predictive Control
Xiaoxin Liu
Northeastern Univ.
Northeastern Univ.
Yuanwei Jing
Jiahe Xu
Chinese Academy of Forestry
Siying Zhang
Northeastern Univ.
Activated sludge wastewater treatment processes are difficult to be
controlled because of their complex and nonlinear behaviour. However,
the control of the ammonia concentration is very important to achieve the
effluent standard. In this paper, the ammonia model is developed which
could be used for model predictive control (MPC) of ammonia
concentration to a certain value in a wastewater treatment plant. The
control strategy is investigated and evaluated based on the simulation
benchmark-the ammonia concentration is controlled to maintain at
different set-point ammonia concentration in an activated sludge process
using MPC. The effect of parameters such as the predictive horizon, the
control horizon, the weights of input and the sample time are also
investigated. The simulation results show that MPC can be effectively
used for ammonia control in wastewater treatment plants.
SatAIS-29
Tuning Method of Proportional Differential Controller for Delay-time
System Based on Polynomial Approximation
Ling Xu
Jiangnan Univ.
Wuxi Institute of Commerce
Feng Ding
Wuxi Institute of Commerce
Dengfeng Liu
Jiangnan Univ.
Baoguo Xu
Jiangnan Univ.
This paper proposes a design method of the proportional integral
derivative controller. The controller is used to a delay-time system. A
polynomial approximation method is studied to the delay-time system.
The controller is designed based on the approximation model and used to
the delay-time system. Some numerical examples are illustrated to show
the effective of the proposed method.
SatAIS-30
Sliding mode control for discrete time switched systems
uncertain parameters and time delay
Yang Li
Hebei University of Science and
Xueli Wu
Hebei University of Science and
Jianhua Zhang
Hebei University of Science and
with
Tech.
Tech.
Tech.
Book of Abstracts
Quanmin Zhu
University of the West of England
In this paper, the problem of sliding mode control of a discrete-time
switched system with uncertain parameters and time-varying delay is
investigated. By using the average dwell time approach and the
piecewise Lyapunov function technique, a sufficient condition is proposed
to guarantee the exponential stability of the switched systems with
uncertain parameters and time delays. The conservation of the obtained
results is reduced by employing the delay partitioning method and the
free-weighting matrix technique. A robust sliding mode controller has
been designed to force the closed-loop system to be driven onto a
prescribed sliding surface and maintained there for all subsequent time.
Finally, a numerical example is given to illustrate the effectiveness of the
proposed theory.
SatAIS-31
Fuzzy discrete-time sliding mode control on interconnected power
system
Xuejiao Guo
North China Electric Power Univ.
Xiangjie Liu
North China Electric Power Univ.
This paper presents the usage of discrete-time sliding mode control
(SMC) algorithm based on disturbance observer in multi-area
interconnected power systems. Compared with other schemes, sliding
mode control not only can reduce large overshoots, which occurs at the
instant of the step change of parameters, but also its control law is easy
to implement. The disturbance observer can estimate uncertainties and
outside interference. The proposed methodology considers power
system’s nonlinearity as well; the valve limit on the governor is modeled
by a fuzzy model. It is tested with a four-area interconnected power
system. Simulation results demonstrate the effectiveness of the proposed
control algorithm.
SatAIS-32
Research on trajectory tracking of crawler robot based on sliding
mode control
Guodong Li
North China Electric Power Univ.
Xiaolong Li
North China Electric Power Univ.
Crawler robot has been used widely in many areas because of its
excellent adaptation for all kinds of complex terrain. As one of automatic
control methods for the trajectory trace of robot, sliding mode control has
advantages over others because of its non-sensitivity and capability of
quick response when the system parameters change, it will be used in
this paper for the trace of trajectory. To begin with we can build the
mathematical model of robot. And then we analyze the theory of sliding
mode control in detail. In order to reduce chatter while ensure the
reaching time, we use sliding mode control with exponential reaching law
instead of conventional law, and design the controller of crawler robot. At
last, a simulation experiment is conducted to show that sliding mode
control with exponential reaching law is very effective in the trajectory
trace.
SatAIS-33
Multi-model back-stepping sliding mode control of Robotic
Manipulators
Yinling Jiang
Northeast Petroleum Univ.
Di Yu
Northeast Petroleum Univ.
Haixing Wang
Northeast Petroleum Univ.
This paper describes a multiple models controller for robotic manipulators
based on combination of SM control and adaptive backstepping control
approaches.The robot system working environment is changeful and the
robot system operates in multiple environments which may change
abruptly from one to another.Therefore,a good way to improve the
performance of the controller is to use multiple models control if models
are approximately available for different environments.We design a PID
performance index with weighting factors and forgetting factors,which
make the performance index more real-time.This backstepping controller
applied to Robot Manipulator, differs from standard backstepping in that
the virtual control inputs are designed based on estimates of the previous
virtual control inputs. This eliminates the need to take derivatives of the
system dynamics, which simplifies the control law. The design
methodology is based on the Lyapunov stability. The simulation results
demonstrate the effectiveness and feasibility of the proposed control
strategy. PID-type switching index function, which increased forgetting
factor making the witching more accurate and reasonable. The simulation
results demonstrate the effectiveness and feasibility of the proposed
control strategy.
SatAIS-34
Soft Variable Structure Control with Differential Equation for
Generalized Systems
Ruiping Xu
Ocean University of China
Qingdao Univ.
Yunlong Liu
Ocean University of China
Weifang Univ.
Cunchen Gao
Ocean University of China
Shuqin Wang
Ocean University of China
Soft variable structure control (VSC) for generalized systems is
concerned in the paper. The structural features of soft VSC with
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differential equation, and some preliminaries for generalized systems are
given. The generalized soft variable structure controller is designed, and
the stability of generalized systems with soft VSC is proposed by an
equivalent characterization. The concrete algorithm of soft VSC with
differential equation is given. The soft variable structure controller for
generalized systems was carried out for the purpose of intentionally
decreasing chattering, achieving high regulation rate, and shorting
reaching time. It is illustrated the feasibility of the proposed method by a
numerical example on a submarine dive model, and an outlook on its
further development is proposed.
SatAIS-35
Sliding Mode Control for Discrete Time-delay Nonlinear Systems
with Uncertainty and Packet Loss
Dongyan Chen
Harbin University of Science and Tech.
Mingming Kan
Harbin University of Science and Tech.
Jun Hu
Harbin University of Science and Tech.
The sliding mode control (SMC) problem is investigated for a discrete
time-delay nonlinear systems with uncertainties and packet losses. The
uncertainties may occur randomly and be assumed to be norm-bounded.
The delays are time-varying but bounded functions. Firstly, under the
assumption that the dropout probability is known, the states of the system
are constructed, and the sliding mode function with dropout probability is
designed. By using the Lyapunov method, the asymptotic stability of the
sliding motion is proved. Secondly, the sliding mode control is designed
by using GAO’s reaching law, the reachability of sliding mode surface is
also proved. Finally, a numerical example is constructed to illustrate the
effectiveness of the results obtained.
SatAIS-36
Robust Sliding Mode Control of Three-phase Voltage Source PWM
Rectifier with Uncertainties and Disturbances
Gangquan Si
Xian Jiaotong Univ.
Weili Zhao
Xian Jiaotong Univ.
Lixin Jia
Xian Jiaotong Univ.
Yanbin Zhang
Xian Jiaotong Univ.
This paper investigates the sliding mode control of three-phase voltage
source PWM rectifier (VSR). When the three-phase VSR system is
applied in different environmental conditions, external disturbances are
inevitable and stochastic, so these conditions should be taken into
consideration when designing the controllers.To have a good
performance and a fast response, the whole closed loop control is
designed in two parts: outer voltage loop control and inner current loop
control, to achieve the aim of well controlled output dc-bus voltage,
sinusoidal input currents at AC mains, controlled power factor and
bidirectional power flow, etc. Simulation results are given to demonstrate
the effectiveness of the proposed control method and it is in good
agreement with the desired control performance. Therefore, the proposed
sliding mode control in this paper presents new insights concerning the
control of three-phase VSR in the presence of uncertainties and external
disturbances and hence has a wide range of applications with good
robustness.
SatAIS-37
Chattering Avoidance High Order Sliding Mode Control for BDFM
Zhongrong
Kunming University of Science and Tech.
Duan
Guoyong Huang
Kunming University of Science and Tech.
Engineering Research Center for Mineral Pipeline
Transportation YN
Zongkai Shao
Kunming University of Science and Tech.
Engineering Research Center for Mineral Pipeline
Transportation YN
Jiande Wu
Kunming University of Science and Tech.
Engineering Research Center for Mineral Pipeline
Transportation YN
Xiaodong Wang
Kunming University of Science and Tech.
Engineering Research Center for Mineral Pipeline
Transportation YN
Aiming at the chattering problem of sliding mode control systems for
brushless double-fed machines (BDFM), a control strategy named as
high order sliding control with chattering avoidance is presented. A
feedback linearization technology was adopted for the nonlinear model of
BDFM. The results show that compared with traditional sliding mode
control, high order sliding control can remove system chattering and
enhance the dynamic performance of the control systems. The
experiment results verify the feasibility and effectiveness of the proposed
strategy.
SatAIS-38
Application of Fuzzy Optimization Control in NSV Anti- disturbance
Qian Gao
Jiangsu University of Tech.
Naibao He
Jiangsu University of Tech.
Variable universe fuzzy control based on intelligent control technology is
proposed in this paper for the hypersonic flight process of nearspace
vehicle (NSV) with severe changes of aero-dynamic parameters and
susceptibility
on
the
external
disturbances.
And
the
Book of Abstracts
contraction-expansion factor of the fuzzy control is given to modify the
scale of universe and reduce the computational cost. By adopting fast
fuzzy terminal sliding mode with variable universe in the slow loop
controller which is suffering the disturbance, its robustness, the speed of
anti-disturbance and control accuracy are enhanced with the adaptively
modified fuzzy universe. A demonstration with the Lyapunov function is
given to proved that the errors of system could converge to zero in finite
time.
SatAIS-39
Reasearch on Finite time Control Method Based on Terminal Sliding
Mode for Spacecraft Attitude
Yan Zheng
Northeastern Univ.
Wei Cao
Northeastern Univ.
The quaternion theory is used to describe the attitude of spacecraft based
on the analysis for several typical description methods of kinematic and
dynamic equations and the system model for the attitude of spacecraft is
built. The control law design for spacecraft attitude based on non-singular
terminal sliding mode control algorithm is proposed using the coupling
between kinematic and dynamic equations. Then it is proved that the
attitude of spacecraft can converge to the target posture in finite time by
finite time control theory. The simulation results approve that control law
design is feasible.
SatAIS-40
Research on Some Control Issues in the Czochralski Process of
Solar Grade Mono-Crystal Silicon
Ding Liu
Xi’ an University of Tech.
Jing Zhang
Xi’ an University of Tech.
Czochralski (CZ) method based silicon crystal furnace is the main
equipment to produce the solar cells silicon material. To meet the
technological requirements of the silicon material for the solar
photovoltaic industry, this paper introduces the role of mono-crystal
silicon in the solar photovoltaic industry, and studies some key control
issues in the silicon crystal growth process. Important achievements are
obtained in the aspects of diameter measurement and control, heat field
modeling and temperature control, design and implementation of the
large-scale CUSP magnetic field as well as solid-liquid interface
measurement and control etc. Experimental results show that the
proposed solutions meet the technological requirements of silicon crystal
growth process.
SatAIS-41
Novel Approach to Cluster Synchronization of Delayed Neural
Networks
Xinbiao Lu
Hohai Univ.
Buzhi Qin
Nanjing College of Chemical Tech.
Jing Tang
Jiangsu Xin'an Electric Co., Ltd.
Cluster synchronization of delayed neural networks with randomly formed
clusters is investigated. In this paper, a distributed approach is proposed
to make a delayed neural network achieve cluster synchronization.
Furthermore, the coupling strength between nodes adopts locally
adaptive strategy, which is only based on its local information. A sufficient
condition about the global stability of cluster synchronizationof delayed
neural networks is derived. Numerical simulations show the effectiveness
of the strategy.
SatAIS-42
Cluster Synchronization in Complex Dynamical Networks Via
Comparison Principle
Xuyang Lou
Jiangnan Univ.
Qian Ye
Wuxi Institute of Tech.
Baotong Cui
Jiangnan Univ.
This paper focuses on the problem of cluster synchronization of a class of
complex dynamical networks. Based on impulsive control theory and a
comparison theorem, generic criteria for cluster synchronization are
derived. It is shown that these criteria provide a novel and effective
control approach to synchronize a general dynamical network to a cluster
synchronization manifold by exposing the relationship between cluster
synchronization, the impulsive intervals, and the graph topology.
SatAIS-43
Global convergence of a class of nonlinear dynamical networks
Ao Dun
Beijing University of Tech.
Di Liang
Beijing University of Tech.
Haijing Liu
Beijing University of Tech.
This paper considers the global convergence of a class of nonlinear
dynamical networks, and the subsystems are discrete time pendulum-like
systems. Different from most of the existing results, two kinds of
interconnections are considered in view of the fact that the subsystems of
networks may have more than one kind of interconnection between each
other. The Kalman-Yakubovich-Popov (KYP) lemma and the Schur
complement formula are applied to get novel criteria, which have the
forms of linear matrix inequalities (LMIs). The Kronecker product is
presented which can be used to handle a class of LMI problems. The test
of the global convergence of a network of pendulum-like systems is
separated into the test of the global convergence of several independent
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2014CCDC
pendulum-like systems. Furthermore, a controller design method based
on LMIs is provided. Finally, a numerical example is presented to
illustrate the efficiency and applicability of the proposed methods.
SatAIS-44
A hybrid Pareto-based algorithm for multi-objective resource
allocation problem
Jun-qing Li
Northeastern Univ.
Liaocheng Univ.
Quan-ke Pan
Northeastern Univ.
Liaocheng Univ.
Kun Mao
Northeastern Univ.
This paper introduces a hybrid algorithm combining discrete harmony
search (DHS) and iterated local search (ILS) for solving the
multi-objective resource allocation problem (RAP). Two objectives are
considered simultaneously, i.e. minimization of the overall cost and
overall efficiency. The harmony search algorithm is used to conduct the
global exploration task, while the iterated local search performs the
exploitation work. In addition, an external Pareto archive set was
introduced to memory the non-dominated solutions found so far.
Experimental results on the well-known benchmarks verify the efficiency
and effectiveness of the propose algorithm.
SatAIS-45
Second-order leader-following consensus of nonlinear multi-agent
systems via adaptive pinning control
Hongjie Li
Jiaxing Univ.
Lihua Xu
Jiaxing Univ.
Libin Xiao
Jiaxing Univ.
Li Lin
Jiaxing Univ.
The paper investigates the second-order leader-following consensus
problem of nonlinear multi-agent systems via adaptive pinning control.
Based on graph theory and the neighbor-based coupling rule, the
adaptive pinning control strategy is proposed, the consensus condition is
derived in terms of linear matrix inequalities. It is worth noting that this
paper addresses that what kind of agents and how many agents should
be pinned. Moreover, the interaction diagraph is not necessarily strongly
connected or contains a directed spanning tree. Some simulation
examples are provided to show the efficiency of the control scheme.
SatAIS-46
Coordinating Multi-layer MPC for Complex Water Systems
Congcong
Advanced Control Systems Group at the Institut de
Sun
Rob`otica i Inform`atica Industrial
Vicenc Puig
Advanced Control Systems Group at the Institut de
Rob`otica i Inform`atica Industrial
Gabriela
Advanced Control Systems Group at the Institut de
Cembrano
Rob`otica i Inform`atica Industrial
CETaqua, Water Technology Centre at Esplugues 7
5, Cornell`a de Llobregat
In this paper, coordinating technique for the multi-layer model predictive
control (MPC) of complex water network is proposed. A multi-layer
topology structure resulting from a functional decomposition of water
network is briefly presented. Inside each layer, a MPC based controller is
used. Between the related two layers, a multi-layer coordinating
mechanism is provided to generate control strategies which consider
objectives and time scales of both layers. Optimal Path Method (OPM) is
used to estimate aggregated water price for the whole layer. The case
study is the Catalunya Regional Water Network. Simulation results based
on an aggregate model of this network are provided.
SatAIS-47
Simulation of Fractional order control Based on IPMC model
Lanfeng Chen
Northeastern Univ.
Dingyu Xue
Northeastern Univ.
Fractional order control theory was the summary and supplementary of
traditional control theory of integer order. It made traditional classical
control theory can be simulated and robustness more. So there was
fractional order PID control theory which integrated with Fractional
Calculus and PID control algorithm. First, integer order PID controller and
fractional order PID controller were designed for the integer order and
fractional order models of IPMC in this paper. Then, two models
controlled by two controllers. Third, the simulation analysis indicated that
rise time of fractional order PID control was faster and overshoot of that
was smaller. So it proved the control performance of system was
significantly improved which was applied of fractional order control
method.
SatAIS-48
Maximum likelihood stochastic gradient parameter estimation
algorithm for multi-input multi-output systems
Junhong Li
Nantong Univ.
Ping Jiang
Nantong Univ.
Yi Yang
Nantong Univ.
This paper discusses parameter estimation problems of the multi-input
multi-output systems described by input-output difference equation
models. A maximum likelihood stochastic gradient algorithm with a
Book of Abstracts
forgetting factor is proposed for each subsystem. The effectiveness of the
proposed algorithm is verified by a numerical example.
SatAIS-49
Composite single neural PID controller based on fuzzy self-tuning
gain and RBF network identification
Boyang Xing
Automation Research and Design Institute of
Metallurgical Industry
Liye Yu
State Key Laboratory of Hybrid Process Indus
try Automation System and Equipment Tech.
Zhongkai Zhou
Automation Research and Design Institute of
Metallurgical Industry
Nonlinear, time-varying and uncertainty matter is an important issue in
order to improve conventional PID control technology due to the rapid
development of control technologies for a wide range of industries.
Artificial neural PID controller such as the single neural PID controlling is
a current interesting research topic because of its potential ability of
auto-tuning by simulating the human brain functions. In the conventional
single neural network control method, it is difficult to realize a high
learning speed and online tuning PID gains. A new approach to improve
the single neuron PID control technology is to combine fuzzy controlling
with RBF neural network. Such a composite neuron adaptive PID
controller with fuzzy self-tuning gain takes advantages of online
identification and self-tuning gain thus to speed up the learning process
and rationally adjust the gain coefficient, providing a much improved
solution to reduce overshoot and to speed up self-learning. In this article,
we show our two simulations including a second-order motion control and
time-delay model to verify the effectiveness of the composite neuron
adaptive PID controller method. We conclude that the adaptive fuzzy gain
compound neural network PID control is superior in controlling nonlinear
and time-delay objects over the conventional method. The improved
control algorithm has excellent tracking performance and accuracy to
meet the requirements for the next generation of intelligent controllers.
SatAIS-50
An Alternative Scheme for Adaptive Backstepping Control
Zhengqiang Zhang
Qufu Normal Univ.
Key Laboratory of System Control and Inform
ation Processing
Xiqiang Cao
Qufu Normal Univ.
Mingxia Zhang
Qufu Normal Univ.
Mingxing Zhang
Qufu Normal Univ.
In this paper, we present a new adaptive backstepping control design
method to solve the overparametrization problem in parameter
estimation. Unlike the existing schemes, the concept of tuning functions
is not introduced. However, the number of parameter estimates is
reduced to be minimal, which is exactly the same as that of unknown
parameters. The parametric strict-feedback system is employed to
illustrate our design procedure.
SatB02
Complex networks and systems (I)
Chair:
CO-Chair:
Room6A
15:30-17:30
Jun Zhou
Bin Ye
15:30-15:50
SatB02-1
Random Matrix Analysis of Spectral Properties in Directed Complex
Networks
Bin Ye
China University of Mining and Tech.
Kangwei Zuo
China University of Mining and Tech.
Jiajia Jia
China University of Mining and Tech.
By using non-Hermitian random matrix theory, the spectra of adjacency
matrices of directed complex networks are analyzed. Both the
short-range and long-range correlations in the eigenvalues are
numerically calculated for typical directed complex networks and
compared with the predictions of Ginibre’s Ensemble. The spectral
density ρ(λ), the nearest neighbor spacing distribution p(s) and the
number variance Σ2(L) show good agreements with Ginibre’s ensemble
when the adjacency matrices of directed complex networks are in the
strongly non-Hermitian regime. Therefore, non-Hermitian random matrix
theory provides a new way to model and study the spectral properties of
directed complex networks.
15:50-16:10
SatB02-2
Controllability and (Ir-) Reducibility of Floquet Factorizations in
Continuous-Time Periodic Systems
Jun Zhou
Hohai Univ.
The paper examines reducibility/irreducibility of Flouqet factorizations
and explicates their relationship with controllability in finite-dimensional
linear
continuous-time
periodic
(FDLCP)
systems.
Reducibility/irreducibility of Floquet factorizations reflect numeric aspects
of the transition matrix representation in FDLCP systems that can be
attributed to matrix logarithm, which remain unnoticed mostly so far in the
Floquet theory. Controllability criteria are claimed by means of Floquet
factorizations, including a harmonic PBH test. The results reveal that
Floquet factorizations may distort or alter controllability structure when
unequally reducible Floquet factors are used separately. Numeric
89
2014CCDC
examples are included.
16:10-16:30
SatB02-3
A Quantum Dynamics Approach to Spectral Analysis in Small-World
Complex Networks
Bin Ye
China University of Mining and Tech.
Shuai Xu
China University of Mining and Tech.
Spectra and eigenstates of the adjacency matrix of a complex network
provide many important information about its structure and dynamics. By
mapping the adjacency matrix of a small-world network to the
Hamiltonian of a quantum system, the statistical properties of the spectra
and the localization of eigenstates are analyzed. Theoretical analysis and
numerical results show that the spectrum corresponding to small-world
networks with small rewiring probabilities have properties consistent with
those of quantum integrable systems. When the rewiring probability in
small-world networks is higher than a certain threshold, the spectral
statistics agree with those of quantum chaotic systems. These findings
may lead to further understanding of both complex networks and complex
quantum systems.
16:30-16:50
SatB02-4
Synchronization analysis of linear complex networks with time
delays
Hailong Li
Xi’an Research Inst. of High-tech.
Jianxiang Xi
Xi’an Research Inst. of High-tech.
Haisong Song
China National Tobacco Corporation Beijing Branch
Yaoqin Cao
Xi’an Research Inst. of High-tech.
Synchronization of high-order discrete-time complex networks with
time-varying delays and undirected communication topologies are
investigated. Firstly, synchronization problems are converted into
asymptotic stability ones, and the necessary and sufficient conditions for
synchronization are presented. Based on the linear matrix inequality
(LMI), sufficient conditions for synchronization are proposed. Then, an
explicit expression of the synchronization function is given. Finally,
numerical simulations are shown to demonstrate theoretical results.
16:50-17:10
SatB02-5
An Efficient Compressed Sensing-based Cross-layer Congestion
Control Scheme for Wireless Sensor Networks
Chengtie Li
Northeastern Univ.
Northeastern University at Qinhuangdao
Jingkuan Wang
Northeastern Univ.
Northeastern University at Qinhuangdao
Bin Wang
Northeastern Univ.
Northeastern University at Qinhuangdao
Yinghua Han
Northeastern Univ.
Northeastern University at Qinhuangdao
Cross layer congestion control algorithm based on compressed sensing
(CS) is developed and designed in order to relieve congestion in Wireless
Sensor Networks (WSNs).The main idea of this paper is to reduce
congestion of sensor nodes by compressed transmission signal and
allocated channel. In order to make an ideal distribution for sensor node,
original signal is compressed at the network bottleneck, prevented high
levels of data flow. The channel weights and the maximum effective set of
containing channel least are calculated, and we allocate the appropriate
channel in order to avoid channel contention and balance the network
loading among the sensor nodes. Simulation results indicate the superior
performance of our proposed algorithm to strike the appropriate
performance in the congestion control, energy consumption and network
Lifetime for the wireless sensor networks.
17:10-17:30
SatB02-6
Improving Controllability of Complex Networks by Rewiring Links
Regularly
Jiuqiang Xu
Northeastern Univ.
Jinfa Wang
Northeastern Univ.
Hai Zhao
Northeastern Univ.
Siyuan Jia
Northeastern Univ.
Network science have constantly been in the focus of research for the
last decade, with considerable advances in the controllability of their
structural. However, much less effort has been devoted to study that how
to improve the controllability of complex networks. In this paper, a new
algorithm is proposed to improve the controllability of complex networks
by rewiring links regularly which transforms the network structure. Then it
is demonstrated that our algorithm is very effective after numerical
simulation experiment on typical network models (Erdös-Rényi and
scale-free network). We find that our algorithm is mainly determined by
the average degree and positive correlation of in-degree and out-degree
of network and it has nothing to do with the network size. Furthermore,
we analyze and discuss the correlation between controllability of complex
networks and degree distribution index: power-law exponent and
heterogeneity.
SatB03
Optimal control and optimization (II)
Chair: Jing Fang
CO-Chair: Zhaoying Li
Room7A
15:30-17:30
Tongji Univ.
Beihang Univ.
Book of Abstracts
15:30-15:50
SatB03-1
Launch Vehicle Ascent Trajectory Optimization Based on Modified
Gauss Pseudospectral Method
Qiuhong Zhang
Beihang Univ.
Zhaoying Li
Beihang Univ.
Huifeng Li
Beihang Univ.
A direct method is discussed for multistage launch vehicle ascent
trajectory optimization. First the optimal control problem is modeled with
the performance index as maximum terminal mass. A modified Gauss
Pseudospectral method is used to design a rapid optimal algorithm for
multistage launch vehicle ascent trajectory. The nonlinear terminal state
constraints are converted into linear terminal state constraints through
state equation matrix and Gauss weight coefficient. Based on linear
gravity assumption, the analytical vacuum solution is obtained and used
as initial guess. The simulation shows that the proposed algorithm can
achieve the trajectory optimal goal with high precision and rapid
convergence when all the terminal and path constraints are satisfied.
15:50-16:10
SatB03-2
Trajectory Optimization of a Cruise Missile Using the Gauss
Pseudospectral Method
Yi Hu
Beihang Univ.
Wanchun Chen
Beihang Univ.
Compared with the conventional optimization approaches, Gauss
Pseudospectral Method (GPM) can deal better with optimal problems
with complex constraints and is less time consuming. As a numerical
technique, GPM transforms the optimal control problem to a nonlinear
programming problem (NLP) by using discrete approximation. This paper
considers a cruise missile’s mission which is to hit a fixed target while
minimizing the exposure to anti-air defenses. The objective function can
be set as integrated altitude along the trajectory. The Gpops tool kit is
used to demonstrate GPM on this problem. The case study’s results
show that the method converges fast and precisely.
16:10-16:30
SatB03-3
Design of a P-D feedback controller for continuous-time descriptor
systems
Mengjuan Cao
Univ.of Scie. and Tech.Beijing
Fucheng Liao
Univ.of Scie. and Tech.Beijing
A new and simple method is proposed to design the P-D feedback
controller for continuous-time descriptor systems in this paper. The
original system is turned into a normal system by using a linear
transformation. Based on the control theory and variable substation
method, the bilinear inequality is changed to the linear matrix inequality
(LMI). With this method, the LMI conditions and P-D feedback controller
are obtained for the admissibility related to the descriptor closed-loop
system. Finally, a numerical example illustrates the correctness and
effectiveness of the method.
16:30-16:50
SatB03-4
Application of Genetic Algorithms in Football Field Lighting for
Energy-saving
Hui Xiao
Tongji Univ.
Jing Fang
Tongji Univ.
Ping Zhu
Tongji Univ.
East China Electric Power Design Institute
Qi Kang
Tongji Univ.
There is a huge energy-saving space in sports lighting area, sports
lighting designers have taken plenty of measures to save energy, but
using the intelligent optimization algorithms to optimize the sports
lighting's light environment for energy-saving are rarely studied in
domestic. In this paper we take advantage of the evolutionary parallel
search abilities of genetic algorithms to find the appropriate aiming
schemes and types of photometric curves which are mainly determined
by reflectors. The total number and exact aiming positions of luminaires
are not predefined, thus the GA system has a large degree of freedom in
designing process. The possibilities of reflectors are limited to three
different types on this issue. We established the optimization model of
standard football field's light environment based on the genetic algorithm,
and the simulation is carried out. The results show that the method can
highly improve the sports lighting's quality and greatly save energy.
16:50-17:10
SatB03-5
Set Divisions and Customer Point Collaborations-Based Heuristic
Vehicle Routing with Appointment Time Window
Zhengzheng Xu
Northeastern Univ.
Jiafu Tang
Northeastern Univ.
This paper studies the collaboration-based vehicle routing problem with
appointment time window aiming at the pickup and delivery service to
airport. After defining the satisfaction degree under appointment time
window, a heuristic approach is proposed to find the globally optimal
vehicle routing scheme. By modeling the pickup and delivery service to
airport with and without collaborations, the corresponding multi-constraint
models are built. Set divisions and vehicle collaborations at customer
points are considered to find the optimal basic and collaborative routes.
Thus the optimal vehicle routing scheme with appointment time window
can be created. Simulation results show that the proposed approach is
90
2014CCDC
feasible.
17:10-17:30
SatB03-6
Finite-time Convergent Guidance and Control Based on Integrated
Model
Lin Lin
Harbin Institute of Tech.
Songyan Wang
Harbin Institute of Tech.
Tao Chao
Harbin Institute of Tech.
Ming Yang
Harbin Institute of Tech.
An integrated guidance and control model for missile control system
design is established in this paper. Finite-time stability theory is used to
design a finite-time convergent guidance and control law based on the
proposed model. Some simulation tests are done to verify the validity of
the control law designed in this paper and the advantages compared with
other guidance laws. The results show the control designed in this paper
can satisfy the terminal indicators accurately.
SatB04
Nonlinear systems (II)
Chair: Yuan Gao
CO-Chair: Xiongjun Wu
Room7B
15:30-17:30
Jilin Univ.
Shanghai Jiao Tong Univ.
15:30-15:50
SatB04-1
Launch Control Strategy for AMT Vehicles Based on ADRC
Yuan Gao
Jilin Univ.
Qifang Liu
Jilin Univ.
Chao Li
Jilin Univ.
Hong Chen
Jilin Univ.
Launch control is a complex issue which requires keeping the engine
running, making the launch process of the vehicle smooth and fast.
According to the diversity and the uncertainty of launch conditions and
the complex control requirements, an active disturbance rejection
controller (ADRC) is designed by the speed tracking control. Moreover, a
model of the clutch system is given based on the dynamics of the system,
which is a second-order equation. In order to verify the controller’s
effectiveness, a powertrain model of a medium-sized truck about AMT
vehicles is established. The model includes an engine, a clutch, a
transmission, a main reducing gear and wheels. And some simulations
are carried out in various working conditions according to the actual
situation. Compared the performance to the traditional PID controller’s
and analyzing the results of simulations, the active disturbance rejection
controller provides a good performance in AMT vehicles’ launch progress
and shows good adaptability in various working conditions.
15:50-16:10
SatB04-2
Saturated Scheduling Anti-windup Design: Static Case
Xiongjun Wu
Shanghai Jiao Tong Univ.;
The 802 Inst. of Shanghai Acad. of Space Flight Te
ch., The Eighth Acad. of China Aero. Scie. and
Tech. Corporation
Kun Cai
The 802 Inst. of Shanghai Acad. of Space Flight Tech.,
The Eighth Acad. of China Aero. Scie. and
Tech. Corporation
A saturation allowed scheduled anti-windup design method is proposed in
this paper for the linear systems subject to input saturation. We
introduced the scheduled controller design method into the anti-windup
scheme, in which a family of controllers are designed. These controllers
are activated depending on the response of the system, rather than only
considering the worst noise case off-line. Also, the delayed activation
scheme is introduced into the scheduled antiwindup mechanism, i.e., the
physical actuator is activated when it really need to, and then the most
aggressive controller is activated. In this proposed scheme, since the
saturation is allowed and no hard constraint is needed to imposed on the
controller input, we can makes fuller utilization of the available actuator
capacity. The proposed anti-windup scheme provides the system stability
and guaranteed peak-to-peak gain. The control strategy is carried out
under the scheme of state feedback and the main results are presented
in linear matrix inequality forms. The advantage of the proposed
saturated allowed scheduling anti-windup scheme against the traditional
saturation avoid method is illustrated through a numerical example.
16:10-16:30
SatB04-3
On
Pullback
Attractors
in
H2
for
Non-autonomous
Reaction-diffusion Equations
Hongyan Li
Shanghai Univ. of Engineering Scie.
Weisi Zhang
Shanghai Univ. of Engineering Scie.
In this paper we consider H2-regularity of pullback attractors for the
reaction-diffusion equation. Firstly, we show that under the suitable
conditions, every family of bounded subsets of L2(Ω) which is invariant
for the process U, is in fact bounded in H2(Ω). Then, as a consequence,
we obtain that the system has a unique continuous periodic solution
which attracts any bounded set exponentially.
16:30-16:50
SatB04-4
Prediction for Chaotic Time Series of Optimized BP Neural Network
Based on Modified PSO
Song Li
Hebei Univ.
Book of Abstracts
Qing Hao
Hebei Univ.
Ying-ying Yue
Hebei Univ.
Hao-ning Liu
Hebei Univ.
In order to improve forecasting model accuracy of BP neural network, an
improved prediction method of optimized BP neural network based on
modified particle swarm optimization algorithm (PSO) was proposed. In
this modified PSO algorithm, an adaptive mutation operator was
proposed in PSO to change positions of the particles which plunged in
the local optimization. The modified PSO was used to optimize the
weights and thresholds of BP neural network, and then BP neural
network was trained to search for the optimal solution. The availability of
the proposed prediction method was proved by predicting several typical
nonlinear systems. The simulation results have shown that the better
fitting and higher accuracy are expressed in this improved method.
16:50-17:10
SatB04-5
Finite-time Stabilization of Fractional-order Systems with Model
Uncertainties and External Disturbances
Xiaomin Tian
Southeast Univ.
Shumin Fei
Southeast Univ.
Lin Chai
Southeast Univ.
In this paper, a fractional-order sliding mode controller is proposed to
realize the finite-time stabilization of fractional order (FO) system. The FO
systems are perturbed by model uncertainties and external disturbances.
First, a new fractional non-singular terminal sliding surface with desired
dynamics is proposed. Subsequently, on the basis of Lyapunov function
and finite-time control theory, a robust control law is introduced to
guarantee the occurrence of the sliding motion in a given time. It
demonstrates that reaching and sliding phases both are finitetime
convergent. Finally, an example is provided to illustrate the effectiveness
of the proposed method.
17:10-17:30
SatB04-6
Path Following Control of Non-minimum Phase VTOL Aircraft via
Minimum Distance Projection Method
Shanwei Su
Beihang Univ.
In this paper, we study the problem of path following control for a
non-minimum phase vertical take-off and landing (VTOL) aircraft. To
locate the point on the desired path that corresponds to the minimum
distance between the aircraft’s position and the desired path, the
projection method is used. Thus the proposed controller, consisting of
feed-forward and state-feedback, not only forces the VTOL aircraft to
asymptotically follow the desired path, but also keeps its unstable internal
dynamics be bounded. Numerical simulation results illustrate the
effectiveness of the designed controller and the advantages of path
following control over trajectory tracking control.
17:30-17:50
SatB04-7
Robust Nonlinear Control Design For Scaled Yak-54 Unmanned
Aerial Vehicle
Ussama Ali
Mohammed Ali Jinnah Univ.
M. Zamurad Shah
Mohammed Ali Jinnah Univ.
Aamer Iqbal Bhatti
Mohammed Ali Jinnah Univ.
Raza Samar
Mohammed Ali Jinnah Univ.
In this work, the authors consider the applications of sliding mode
controllers to the longitudinal flight dynamics of the benchmark system of
scaled Yak-54 Unmanned Aerial Vehicle for executing maneuvers over
full flight envelope. Control of unmanned aerial vehicle involves the
problem of incomplete measurements, modeling uncertainties and
external disturbances. Sliding mode control provides good precision and
robustness to the aforementioned factors. First order sliding mode
controller are designed but they provide chattering at the control input
thus a non linear second order super twisting controller is used to provide
chattering free control with improved performance for the robust
stabilization of pitch angle and control of its altitude. The simulation
results indicate good tracking and regulation control of the vehicle.
SatB05
Room8A
Decision-making theory and method (II)
15:30-17:30
Chair: Channi Liu
Hunan Univ.
CO-Chair: Qifa Jiang
Yunnan Univ. of Finance and Economics
15:30-15:50
SatB05-1
Evaluation and Selection of Suppliers under Multi-product Purchase
Based on Fuzzy Multi-objective Integer Programming Model
Ling Hu
Shenzhen Institute of Information Tech.
Zhuangpin Wei
Shenzhen GTA Information Technology Co.,Ltd.
Suppliers evaluation and selection is one of the most critical activities of
purchasing management in a supply chain, because of the key role of
suppliers’ performance in achieving the objectives. And it is a
multi-criteria decision-making in which the objectives are not equally
important. Supplier evaluation and selection decisions are complicated by
the fact that various criteria must be considered in the decision-making
process for the decision makers. In this paper, vagueness and
imprecision of the objectives, constraints and parameters are considered,
and the fuzzy multi-objective integer programming model is proposed to
solve suppliers selection problem under mulit-product purchases.
91
2014CCDC
15:50-16:10
SatB05-2
A Solution to Seasonal Adjustment Forecasting for Hydraulic SMEs
in InvestmentDecision-making
Qifa Jiang
Yunnan Univ. of Finance and Economics
Seasonal adjustment plays a significant role in the analysis of current
social and economic conditions, particularly in determining the stages of
the business cycle at which the economy stands. Nowadays the most
popular method for seasonal adjustment in time series forecasting is the
X-12-ARIMA algorithm, etc. All of these methods are sophisticated and
difficult to understand and not suitable for small and medium enterprises
(SMEs) to forecast and make decisions, especially for hydraulic SMEs
which are troubled about low ROI and natural issues. To stimulate private
investment in hydraulic industry the seasonal effects should be averaged
out to smooth the investment decision making. Thus we introduce the
Centered Moving Average (CMA) method, the modification to the moving
average method, which is simple and easy to operate for hydraulic SMEs.
By using a case, we illustrate the procedure carefully. Comparing the
accuracy of forecasts between the actual data trend line and the
deseasonalized data trend line, we can conclude that the accuracy
improves greatly when using the CMAs. It is simple and low cost and
more suitable for hydraulic SMEs.
16:10-16:30
SatB05-3
Board of Directors Characteristics and Internal Control Quality：
Evidence from Chinese-listed companies
Hui Lei
Hunan Univ.
Channi Liu
Hunan Univ.
Using panel data and DK fixed regression, this paper empirically
researches the relationship between the board of directors characteristics
and internal control quality based on a dataset consisting of listed
companies of both Shanghai stock exchange from 2008 to 2012. We find
that the internal control quality is significantly inversely associated with
general CEO duality, board size, board meetings numbers, significantly
positively associate with general the board independence. The
independent directors who are not from the area where listed private
companies registered is insignificantly related with the internal control
quality. These results indicate that board characteristics have great
significant impacts on the internal control quality.
16:30-16:50
SatB05-4
Research on Port Cooperation Game-Theory Based on Productivity
Restrain
Xiaoling Huang
Dalian Maritime Univ.
Xiaonan Gao
Dalian Maritime Univ.
Port competitiveness mainly depends on its profit. Port profit is affected
by management measures. How to increase port competitiveness under
the premise of the same port soft and hard environment is the main
purpose for port managers. In order to meet the requirement, this paper
takes three steps to build a benign competition relationship. Firstly, the
indictors which influent the port profit are analyzed qualitatively. Then,
indexes are quantified by analytic hierarchy process. At last, a
cooperation game-theory mathematical model based on productivity and
government support is set up. This mathematical model is applied on
Dalian port and Yingkou port. By comparing with the port competition
game-theory model to conclude both ports will achieve more profit after
cooperation.
16:50-17:10
SatB05-5
Spare Parts Consumption Rolling Forecasting Model Based on Grey
LSSVM
Shenyang Liu
Shijiazhuang Mechanical Engineering Coll.
Qi Gao
Shijiazhuang Mechanical Engineering Coll.
Yang Ge
Shijiazhuang Mechanical Engineering Coll.
Zhiwei Li
Shijiazhuang Mechanical Engineering Coll.
Zhirong Li
Shijiazhuang Mechanical Engineering Coll.
Considering the limited data of spare parts consumption and the
stochastic and uncontrollable of the inducing factors, a new rolling
forecasting model of grey least square support vector machine (LSSVM)
is proposed through analyzing disadvantages of current spare parts
consumption forecasting models. The new model not only develops the
advantages of accumulation generation of the grey forecasting method,
weakens the effect of stochastic-disturbing factors in original sequence
and strengthened the regularity of data, but also uses the quickly solving
speed and the excellent characteristics of least square support vector
machines for nonlinear relationship and avoids the theoretical defects
existing in the grey forecasting model. Through continuous interaction
between predictive value and statistical value to update the training
samples, the model realizes the rolling forecasts of the spare parts
consumption. At last, one example is given to testify the effectiveness of
the model.
17:10-17:30
SatB05-6
Model Construction and Mechanism Analysis on The Power
Systems of Enhance the competitiveness of innovative enterprises
Yumei Wang
Qingdao Univ. of Scie. and Tech.
Shuai Wang
Qingdao Univ. of Scie. and Tech.
On the basis of systematical analysis of the competitiveness, target
Book of Abstracts
elements, the main elements and resource elements of innovative
enterprises, the power system model of enhance the competitiveness of
innovative enterprises was put out. Basing on the system dynamics
theory, this model revealed the rule of competitiveness enhance of
innovative enterprises.
SatB06
Neural networks (II)
Chair: Penghua Li
CO-Chair: Tengfei Zhang
Room8B
15:30-17:30
Chongqing Univ. of Posts &
Telecommunications
Nanjing Univ. of Posts and
Telecommunications
15:30-15:50
SatB06-1
Speaker Identification Based On Gammatone Cepstral Coefficients
And General Regression Neural Network
Penghua Li
Chongqing Univ. of Posts & Telecommunications
Chongqing Automotive Electronics & Embedded
System Research Center
Fangchao Hu
Chongqing Univ. of Posts & Telecommunications
Yinguo Li
Chongqing Univ. of Posts & Telecommunications
Chongqing Automotive Electronics & Embedded
System Research Center
Baomei Qiu
Chongqing Univ. of Posts & Telecommunications
Chongqing Automotive Electronics & Embedded
System Research Center
This paper presents a speaker identification method using Gammatone
cepstral coefficients extracted by Gammatone filters and a group of
general regression neural networks. The Gammatone cepstral
coefficients are adapted to the characteristics of speech signals through
adjusting the Gammatone filter and the filter bank settings. To reduce the
training data and time cost of the general regression neural network used
as the classifier for speaker identification, the non-linear partition
algorithm is employed to divide the Gammatone cepstral coefficients
used as the speech features. In this sense, the speaker identification task
is partitioned into a number of small tasks which can be operated by a
group of general regression neural networks. Each recognition rate of
these general regression neural networks is integrated into the final
recognition rate of the speech signals. The results indicate that the
proposed method has an acceptable recognition rate with high accuracy.
15:50-16:10
SatB06-2
Nonlinear Internal Model Control Based on Fuzzy Rough Granular
Neural Networks
Tengfei Zhang
Nanjing Univ. of Posts and Telecommunications
Yaliang Tan
Nanjing Univ. of Posts and Telecommunications
Fumin Ma
Nanjing Univ. of Finance and Economics
A nonlinear system internal model control based on neural networks is
studied in this paper. The fuzzy rough set theoretic techniques are used
to knowledge extraction from the collected data. Extracted knowledge is
then encoded into the network in the form of initial weights by granular
computing. The Neural Network Controller is designed based on the
proposed fuzzy rough granular neural networks. Meanwhile, the fuzzy
neural network is used to design the Neural Network Model of nonlinear
system. The identification and control of inverse model based on fuzzy
rough granular neural network are researched in detail. The feasibility of
the proposed control method is demonstrated by simulation analysis.
16:10-16:30
SatB06-3
Hysteretic Neural Network and Its Application in the Prediction of
the Wind Speed Series
Hongfei Wang
Tianjin polytechnic Univ.
Chunbo Xiu
Tianjin polytechnic Univ.
Yanqing Li
Univ. of Scie. and Tech. Beijing
Yi Cheng
Tianjin polytechnic Univ.
Yimei Chen
Tianjin polytechnic Univ.
In order to improve the information processing capabilities of the
traditional neural network, and improve the forecast accuracy of the wind
speed series, a new hysteretic neural network based on the hysteretic
neurons is proposed. The hysteretic neuron is constructed by adding a
hysteretic operator into the activation function. The hysteretic
characteristic can make the response of the neuron is related to not only
the current input information but also the history input information. In this
way, the amount of information used in the prediction process is
increased, and the prediction ability of the neural network can be
improved. In order to avoid the information redundancy or loss, the
structure and the training samples are determined according to the
autocorrelation function and the partial autocorrelation function of the
wind speed series. Simulation results show that the hysteretic neural
network can complete the prediction of the wind speed series, and the
prediction performance is superior to that of the same type neural
network.
16:30-16:50
SatB06-4
An Improved Artificial Immune Network for Multimodal Function
Optimization
Zhonghua Li
Sun Yat-sen Univ.
Jianming Li
Sun Yat-sen Univ.
92
2014CCDC
Jieying Zhou
Sun Yat-sen Univ.
Multimodal optimization problems are typical those problems where both
a global optimum and one or more local optima are included, which can
be tackled with by evolutionary algorithms. This paper proposes an
improved artificial immune network for multimodal function optimization.
In the antibody population, antibodies are allocated to three spaces, i.e.,
the elitist space, the common space and the poor space. To be specific,
the antibodies in the elitist space undergo self-learning mutation, those in
the common space undergo elitist-learning mutation and those in the
poor space undergo the random hypermutation. At each generation, the
mutated antibodies with higher affinity are regrouped into a new elitist
space while those with medium affinity are regrouped into a new common
space. On the other hand, the old poor space is removed; instead, a
group of randomly generated antibodies are grouped into a new poor
space. Six benchmark functions in both 10D and 30D are used to
evaluate the optimization performance of the proposed artificial immune
network and the other existing artificial immune networks, such as
opt-aiNet, IA-AIS and AINet-SL. The simulation results indicate that the
proposed artificial immune network is an effective and relative efficient
method in optimizing both the unimodal and multimodal functions.
16:50-17:10
SatB06-5
Constrained Graph Concept Factorization for Image Clustering
Yuqing Shi
Northwest Univ. for Nationalities
Shiqiang Du
Northwest Univ. for Nationalities
Weilan Wang
Northwest Univ. for Nationalities
Matrix factorization techniques have been frequently applied in data
representation and pattern recognition. One of them is Concept
Factorization (CF), which is a new matrix decomposition technique for
data representation. In this paper, we propose a novel semi-supervised
matrix factorization algorithm, called Constrained Graph Concept
Factorization (CGCF), which incorporates the label information as
additional constraints. Specifically, CGCF preserves the intrinsic
geometry of data as regularized term and use the label information as
semi-supervised learning, it makes nearby samples with the same
class-label are more compact, and nearby classes are separated. An
efficient multiplicative updating procedure was produced along with its
theoretic justification of the algorithmic convergence. Compared with
NMF, GNMF, CF, LCCF and Kmeans, experiment results on ORL and
YALE face databases have shown that the proposed method achieves
better clustering results．
17:10-17:30
SatB06-6
The modeling for pellets induration process based on Bagging
method
Xiaoke Fang
Northeastern Univ.
Jun Peng
Northeastern Univ.
Jianhui Wang
Northeastern Univ.
Xiao Wang
Northeastern Univ.
The grate-kiln system for iron ore pellet induration is a nonlinear, high
coupling and large delay process. Considering the deviation between
assumption and actual results, it is hard to build accurate kinetic models.
Besides, the pure kinetic model also has the limitations to describe the
induration process. In this paper, based on kinetic modeling, a hybrid
model is built via neural network ensemble. The Bagging method is
applied for training sample set with BP network as its network. The result
shows that the hybrid model is more accurate and better than the kinetic
model.
SatB07
Room9A
Fault diagnosis and fault-tolerant control (II)
15:30-17:30
Chair: Yuntao Shi
North China Univ. of Tech.
CO-Chair: Rui Bin
Central South Univ., and Hunan Engineering
Laboratory for Advanced Control and Intelligent
Automation Changsha
15:30-15:50
SatB07-1
Hybrid Model Predictive Control and Fault Detection of Wind Energy
Conversion System Based on Mixed Logical Dynamic
Yuntao Shi
North China Univ. of Tech.
Shujuan Qiao
North China Univ. of Tech.
Yanjiao Hou
North China Univ. of Tech.
Zhijun Li
North China Univ. of Tech.
Dehui Sun
North China Univ. of Tech.
The main contribution of this paper is the development of hybrid model
predictive control and fault detection strategy for wind energy conversion
system (WECS) based on mixed logic dynamic (MLD) model framework.
The MLD model for WECS including multiple work regions is established.
Also the hybrid model predictive control method based on the MLD model
of WECS is adopted to implement the variable speed constant frequency
control and variable pitch control for the optimal power tracking. The
mixed logic dynamic fault (MLDF) model is also established for generator
speed sensor fault and the pitch actuator fault of WECS. Moving horizon
estimation (MHE) method is applied to estimate the fault states of WECS
based on MLDF model of WECS. The performance and the efficiency of
the proposed approaches validated via simulations.
15:50-16:10
SatB07-2
Book of Abstracts
Multiple Incipient Faults Prognosis for CCBII Braking System
Yingze Yang
Central South Univ., and Hunan Engineering
Laboratory for Advanced Control and Intelligent
Automation Changsha
Rui Bin
Central South Univ., and Hunan Engineering
Laboratory for Advanced Control and Intelligent
Automation Changsha
Zhiwu Huang
Central South Univ., and Hunan Engineering
Laboratory for Advanced Control and Intelligent
Automation Changsha
Yufu Qin
Central South Univ., and Hunan Engineering
Laboratory for Advanced Control and Intelligent
Automation Changsha
Jiandui Yi
Central South Univ., and Hunan Engineering
Laboratory for Advanced Control and Intelligent
Automation Changsha
Due to various operation modes, complex working environment, and
various components with strong coupling in CCBII braking system,
multiple incipient faults may happen simultaneously. It is difficult to carry
out the multiple incipient faults prognosis for the CCBII braking system
using the traditional faults prognosis techniques. In this article, a
model-based fault prognosis approach is used for CCBII braking system
with multiple incipient faults. Firstly, the models of the working modes are
established, the latest concept of Augmented Global Analytical
Redundancy Relations (AGARRs) is used to consider parametric and
nonparametric incipient fault prediction. Before the faults are detected,
mode tracking is realized by comparing Mode-change Signature Matrix
(MCSM) with the coherence vector. Once the mode tracking fails, the
fault hypothesis set, including suspected faults and suspected mode
change, is established correspondingly. The degradation behavior of
incipient fault is unknown in advanced and the unknown degradation
characteristics of each incipient fault can be predicted with some
matching dynamic models. Furthermore, the degradation models and
incipient faults are identified using a mixed differential evolution (MDE)
algorithm. The real-time online faults prognosis of CCBII braking system
is realized. Finally, simulation tests validate the efficiency of the proposed
scheme.
16:10-16:30
SatB07-3
A Parametric Design Method of Finite Time State Observers in
Linear Time-invariant Systems
Guo-sheng Wang
Academy of Armored Force Engineering
Fan Xia
Academy of Armored Force Engineering
Bing Liang
Jiangxi Univ. of Science and Tech.
Feng Guo
Academy of Armored Force Engineering
Liu Feng
Academy of Armored Force Engineering
A parametric design problem of the finite time state observers for the
linear time-invariant systems is investigated. The design aim of the finite
time state observers in linear time-invariant systems is to present the
parametric form of the state observers which can estimate the system
state in a predefined finite time and the estimation stays bounded during
the convergence time interval. Based on the parametric solutions for a
class of Sylvester matrix equations, the parametric expressions of all the
gain matrices for the finite time state observers in linear systems are
proposed. Finally, a numerical example and its simulation results show
that the proposed parametric design method of the finite time state
observers in the linear time-invariant systems is effective and simple.
16:30-16:50
SatB07-4
Rolling Bearing Fault Diagnosis Based on Wavelet Energy Spectrum,
PCA and PNN
Keyong Shao
Northeast Petroleum Univ.
Miaomiao Cai
Northeast Petroleum Univ.
Guofeng Zhao
The Third Oil Extraction Plant
In order to solve the problem that the excessive dimensions of feature
vector will lead to probabilistic neural network (PNN) ’s structure
becoming complicated and recognition rate slowing down when we take
the wavelet energy spectrum of the rolling bearing vibration signal as the
feature vector, a novel approach based on wavelet energy spectrum,
principal component analysis (PCA) and probabilistic neural network
(PNN) is proposed．The method firstly decomposes the vibration signal by
wavelet transform algorithm, separately reconstructs the wavelet
coefficients of each level, and calculates each frequency band’s signal
energy in the time domain as the feature vector. Then, we use the
principal component analysis (PCA) technology to process wavelet
energy spectrum so as to reduce its dimensions. Lastly, we feed the
principal components into the PNN for recognition. The experimental
results show that the proposed method not only can accurately recognize
the test set, but also can reduce the dimensions of input feature vector in
order to simplify network model, reduce the time required for recognition,
and improve the recognition efficiency.
16:50-17:10
SatB07-5
Research on Fault Diagnosis Method for Complex Equipment Based
on VPRS and NBNC
Chao Zhang
Northwestern Polytechnical Univ.
Liang Liu
Northwestern Polytechnical Univ.
Xi Wang
Northwestern Polytechnical Univ.
93
2014CCDC
Yang Yu
Northwestern Polytechnical Univ.
Yong Zhou
Northwestern Polytechnical Univ.
The inconsistent diagnostic information often occurs in fault diagnosis of
complex equipments. In order to improve the diagnosis precision, an
integrated fault diagnosis method is proposed based on variable
precision rough set (VPRS) and Naive Bayesian network classifier
(NBNC). Firstly, according to the relative discernibility of the original fault
diagnosis decision table, the β in VPRS is self-determined. Secondly, the
β-reducts are obtained using the heuristic reduction algorithm which is
based on the VPRS condition entropy. Thirdly, the NBNC is used to
analyze the reduction decision table, and consequently, the diagnostic
result can be obtained. Finally, the validity and engineering practicability
of the proposed method is demonstrated by an example, and the
comparison results show that the proposed method combines the tolerant
analysis ability of VPRS and the classification superiority of NBNC, so it is
more effective than rough set theory (RST) and VPRS methods to handle
the inconsistent information.
17:10-17:30
SatB07-6
Fault Diagnosis Method for Complex Equipment using Cased-based
Reasoning
Chao Zhang
Northwestern Polytechnical Univ.
Xi Wang
Northwestern Polytechnical Univ.
Yang Yu
Northwestern Polytechnical Univ.
Liang Liu
Northwestern Polytechnical Univ.
Yong Zhou
Northwestern Polytechnical Univ.
Rapid and accurate fault detection and diagnosis (FDD) is gaining
importance for complex equipments because of the need to increase
reliability and to decrease possible loss. In this paper, an intelligent fault
diagnosis method is presented by using case-based reasoning (CBR)
methodology to infer and classify various failures. Firstly, the case
representation and the case base are established according to the
characteristics of diagnosis process, and a novel case retrieval approach
base on the improved grey relational analysis is presented to solve the
matching problems under uncertain cases. Secondly, a new CBR-based
Engine fault diagnosis (Engine-FD) system is designed and developed to
diagnose four faults of 4135 diesel engine according to eighteen fault
features. Finally, the application results show that the proposed fault
diagnosis method has a good reliability and engineering practicability,
and it can be used to solve other fault diagnosis problems.
SatB08
Motion control (I)
Chair: Baomei Qiu
CO-Chair: Jing He
Room9B
15:30-17:30
Chongqing Univ.of Posts & Telecommunications
Hunan Univ.of Tech.
Natiaonal Univ.of Defense Tech.
15:30-15:50
SatB08-1
Control and Design of Small Aerial Photography Stabilized Platform
Baomei Qiu
Chongqing Univ.of Posts & Telecommunications
Penghua Li
Chongqing Univ.of Posts & Telecommunications
Peipei Chen
Chongqing Univ.of Posts & Telecommunications
Yinguo Li
Chongqing Univ.of Posts & Telecommunications
Due to mechanic vibration, multi-frame coupled and gyro random drift
and so on, the design and control of the aerial photography stabilized
platform is a complicated process. To improve the existing problem of
aerial photography stabilized platform, such as the heavy structure, the
lacking of adaptability and so on, the small aerial photography stabilized
platform is developed.This system consists of the AT91RM9200
microcomputer, the attitude and heading reference system apparatus
being composed of the MEMS-gyro, the accelerometer and GPS (Global
Positioning System), DC motor and the three frame structure. The
dynamic equations of the three-axis frame were deduced based on the
Lagrange theorem. The control theory based on the system is introduced.
An artificial immune feedback controller is designed. The test data prove
that the design can obtain satisfactory control effects. The stabilized
accuracy is reduced to about +/-0.2. It can satisfy the requirements of
high quality aerial photography.
15:50-16:10
SatB08-2
A Multi-motor Synchronous Control Algorithm for Artificial Potential
Field with Adjacent Attractive Force
Changfan Zhang
Hunan Univ.of Tech.
Mangang Niu
Hunan Univ.of Tech.
Han Wu
Hunan Univ.of Tech.
Jing He
Hunan Univ.of Tech.
National Univ.of Defense Tech.
Yuanyuan Xiao
Hunan Univ.of Tech.
Pertinent to the multi-shaft synchronous control precision of printing press
with shaft-less drive, the artificial potential field algorithm in the flocking
motion control method is introduced and the traditional artificial potential
field control strategy is given. This control strategy allows the rapid
tracking of target value. However, in the traditional artificial potential field
control arithmetic, there is no mutual relationship between various
follower motors, which is unable to maintain the high synchronization
performance. In this paper, the improved artificial potential field is
proposed and the attractive force between adjacent motors is considered.
The attractive force will drive the low speed motor to follow other motor
Book of Abstracts
rapidly. The experiment results demonstrate the improved artificial
potential field control strategy makes the motor synchronization
performance higher.
16:10-16:30
SatB08-3
Optimization method based swing-up control and visual validation
for rail length-limited parallel-coupled cart-pendulums system
Mengqi Xue
Shanghai Univ.
Minrui Fei
Shanghai Univ.
This paper introduces a rail length-limited parallel-coupled
cart-pendulums system which is one of the morphs from the inverted
pendulum family. A swing-up control strategy based on optimization
algorithm (pattern search) instead of manual tuning has been proposed
for such kind of system to swing the pendulums up cooperating with the
original stabilizing controller. The blockset-view of the system is
presented in Matlab/Simulink. For a clearer demonstration of the
feasibility of the strategy, a visual validation is implemented through the
VRML 2.0 based 3D animation blocks supplied in Simulink. With the use
of the optimization tool along with the dynamic simulation results obtained
in Matlab/Simulink, proper swing-up signal parameters will be derived for
the system. The proposed swing-up strategy is proved effective under the
visual demonstration and the diagram analyses about the simulation
results.
16:30-16:50
SatB08-4
A Practical Approach to Motion Control for Planar Multi-Rigid-Body
Systems
Rongqi Shi
Tsinghua Univ.
Jie Peng
Tsinghua Univ.
This research is focused on developing a practical motion control
approach, which can greatly simplify the control-oriented modeling and
improve the control performance. For any dynamical system which meets
the requirements, all necessary dynamics information is deduced in a
general form as two matrices, which skillfully avoids the complicated
modeling of multi-rigid-body dynamics. The other information, such as
un-modeled dynamics and uncertain disturbances, is treated as a
generalized total disturbance, estimated by an extended state observer
and compensated by a simple controller. A standardizing controller is
designed to convert any dynamical system into a standardized model so
that the extended state observer can be constructed in a general form.
The approach is applied to the control system design of an in-plane
morphing wing and morphing aircraft in pitch plane, and multidisciplinary
joint simulations are performed. The proposed approach is validated with
the following advantages: simplicity and effectiveness in control-oriented
dynamical modeling and controller tuning; universality for a certain class
of planar multi-rigid-body systems; practicality for engineers and
interdisciplinary researchers of mechanics and control.
16:50-17:10
SatB08-5
Design and Analysis of Plug-in Repetitive Controller for
Zero-following Performance
Zeyuan Li
Beijing Jiaotong Univ.
Wennong Zhang
Shenzhen Univ.
Hiroshi Nakamura
YASKAWA Electric Corporation
Minoru Koga
YASKAWA Electric Corporation
Xiang Xu
Montion Control Institute Googol Tech.Ltd.
Repetitive control is a method to track the periodical signal. This paper
proposes a design method of the plug-in repetitive controller based on
the architecture in [27]. In such a way, zero following error can be
achieved based on the internal model principle. To avoid realizing the
inverse dynamics of the plant, a novel controller structure is proposed as
the stabilizing filter. It is easy to design and implement. The stability is
guaranteed and the robustness is preserved. The simulation and
experimental results show its effectiveness.
17:10-17:30
SatB08-6
Study on BDFG Control Strategy with Unbalanced loads
Shuai Zhang
Wuhan Univ.of Scie.and Tech.
Huikang Liu
Wuhan Univ.of Scie.and Tech.
When wave power system using BDFG operated in islanded mode,the
unbalanced loads condition should be taken into consideration in the
control system,otherwise it will cause active,reactive power and
electromagnetic torque fluctuations because of civil electricity.In this
paper,the model of BDFG with unbalanced loads is deduced based on
symmetrical component theory,the impact of negative sequence voltage
on the BDFG vector control theory based on PI regulator is analyzed.And
then current control strategy based on IM regulator of BDFG is
presented.Theoretical analysis and simulation results show that
introdduced theory and control strategy is correct and effective.
SatB09
Room10A
Networked Agents: Coordinated Sensing, Localization and Control
(Invited Session)
15:30-17:30
Chair: Xiangke Wang
National University of Defense Technology
CO-Chair: Changbin Yu
The Australian National University
15:30-15:50
SatB09-1
94
2014CCDC
Null-steering beamforming in uncertain environment
Jian Hou
Beijing Aerospace Automatic Control Institute,
Zhiyun Lin
Zhejiang University
In this paper, we study a transmit null-steering beamforming problem for
wireless sensor networks in uncertain communication environment.
Given a desired receiver direction, the system requires to avoid the
unknown eavesdroppers as well. In this case, we adjust both the sensors
distribution and phase offsets such that beamforming is achieved at the
desired direction, and meanwhile the communication of all the other
directions is suppressed, which substantially reduces the risk of
information theft by eavesdroppers. The Particle Swarm Optimization
(PSO) algorithm is used to solve this constraint problem.
15:50-16:10
SatB09-2
Distributed Robust Leaderless Consensus of Lipschitz Nonlinear
Multi-agent Systems with Matching Uncertainties
Zhongkui Li
Peking University
Yu Zhao
Peking University
Zhisheng Duan
Peking University
This paper considers the distributed robust consensus problem of
multi-agent systems with Lipschitz nonlinear dynamics and subject to
different matching uncertainties. Due to the existence of nonidentical
uncertainties, the multi-agent systems discussed in this paper are
essentially heterogeneous. For the case where the communication graph
is undirected and connected, based on the local state information of
neighboring agents, distributed continuous static and adaptive consensus
protocols are designed, under which the consensus error is uniformly
ultimately bounded and exponentially converges to a small adjustable
residual set.
16:10-16:30
SatB09-3
Autonomous Target Localization using Quadrotor
Yun Hou
The Australian National Univ. and NICTA Ltd
Changbin Yu
The Australian National Univ. and NICTA Ltd
In this paper, autonomous target localization is achieved on quadrotor
helicopter, with the use of 2D laser rangefinder and fixed monocular
camera. Color-featured target is located in 3D space without prior
knowledge of its size or shape. Coordinate systems of camera and laser
rangefinder are integrated to establish body-fixed reference coordinate
system for both localization and flight control. Rotation compensation
algorithm is developed to neutralize the errors introduced by the changes
of attitude angles during the flight. With this feature, quadrotor can obtain
the real world coordinates of target from one single frame of camera once
the target is captured and identified, without the requirement of keeping
orientated towards the target all the time. The relative position between
quadrotor and target is updated every time the target is located. Indoor
experiments are conducted with Asctec Pelican quadrotor to demonstrate
the performance of the proposed localization approach.
16:30-16:50
SatB09-4
A Time Synchronization Method of Wireless Sensor Networks
Based on the Simulated Annealing Algorithm
Fuqiang Wang
Shandong Academy of Sciences
Xiaoming Wu
Shandong Academy of Sciences
Yong Pang
Shandong Academy of Sciences
Changbin Yu
Shandong Academy of Sciences
Yifan Hu
Shandong Academy of Sciences
Xiangzhi Liu
Shandong Academy of Sciences
Time synchronization is very important for a Time Division Multiple
Access (TDMA) Wireless Sensor Networks (WSNs). In this paper, we
introduce a new method of time synchronization for WSNs based on the
simulated annealing algorithm which is endowed with the search process
of a time-varying and can effectively avoid falling into the local minimum
and finally tends to the global optimum. Errors between the global time
and prediction time are used as the evaluation function from which we
can obtain more stable time synchronization. Our method is implemented
on SCSC-RFA1 platform and the results show the validity of the method.
16:50-17:10
SatB09-5
A Novel Approach to NLOS Identification in Sensor Localization
Wenye Meng
Inner Mongolia University
Huang Baoqi
Inner Mongolia University
Guanglai Gao
Inner Mongolia University
Sensor localization is a basic and important task of wireless sensor
networks, and abundant localization algorithms have been proposed
based on various ranging techniques, including time-of-arrival (TOA),
time-difference-of-arrival (TDOA), received signal strength (RSS),
angle-of-arrival (AOA) and etc. The accuracy of these ranging techniques
rely on the line-of-sight (LOS) propagation of signals, while in practical
environments, signals may be propagated in non-line-of-sight (NLOS)
channels, with the result that both ranging and localization accuracy can
be seriously degraded. In this paper, we consider TOA-based sensor
localization and propose a novel NLOS identification method using
Cayley-Menger determinant (CMD). To be specific, the errors induced by
NLOS in distance measurements are positive and much larger than
errors from TOA systems, and as a result, the values of corresponding
CMD behave differently under LOS/NLOS channels. Hence, we leverage
Book of Abstracts
this character to establish a statistical hypothesis testing model to identify
NLOS channels. Finally, a simulation analysis is conducted to verify the
effectiveness of the proposed method.
17:10-17:30
SatB09-6
Nonlinear Consensus under Directed Graph via the Edge Laplacian
Zhiwen Zeng
National University of Defense Technology
Xiangke Wang
National University of Defense Technology
zhiqiang zheng
National University of Defense Technology
This paper considers a leaderless consensus problem for multi-agent
system with inherently nonlinear dynamics under directed graph. To
provide an effective perspective to handle the consensus problem, an
innovative concept about the edge Laplacian is developed for directed
graph. The algebraic properties of the graph Laplacian and edge
Laplacian bare a lot in common, and the edge Laplacian has much
potential to solve the leaderless consensus problem under the edge
agreement framework. By using the proposed consensus protocol, the
technical challenges caused by the inherently nonlinear dynamics can be
well handled. Finally, the effectiveness of the theoretical results is
demonstrated through simulation.
17:30-17:50
SatB09-7
A Particle Swarm Algorithm Based Routing Recovery Method for
Mobile Sink Wireless Sensor Networks
Yi-fan Hu
Shandong Computer Science Center
Xiao-ming Wu
Shandong Computer Science Center
Fu-qiang Wang
Shandong Computer Science Center
Hua Han
Shanghai University of Engineering Science,
This paper presents the routing recovery problem of mobile sink wireless
sensor networks (mWSNs), which is caused by the sink mobility. We
propose an immune orthogonal learning particle swarm optimization
algorithm (IOLPSOA) based routing recovery method to build and
optimize the alternative path, in order to repair the broken path and
maintain the available route from the source nodes to the mobile sink
through a multi-hop network. The IOLPSOA can improve the method with
faster global convergence and higher solution quality, which can provide
more efficient routing recovery capability to mWSNs. We have evaluated
the performance of routing recovery method through both mathematical
analysis and simulation experiments. The results show that our method
effectively supports sink mobility with low energy consumption,
communication overhead, and the improvement of routing recovery
problem.
SatB10
Room10B
Stability and Control of Networked Control Systems(Invited Session)
15:30-17:30
Chair: Xi-Ming Sun
Dalian University of Technology
CO-Chair: Huawen Ye
Central South University
15:30-15:50
SatB10-1
A new stability criterion for networked predictive control system
with varying controller gains scheme
Sheng-li Du
Dalian University of Technology
Xi-ming Sun
Dalian University of Technology
Wei Wang
Dalian University of Technology
Chong-quan Zhong
Dalian University of Technology
The stability analysis problem is investigated for networked predictive
control systems with varying controller gains in this paper. By introducing
a new auxiliary variable and analyzing the deep relationship between two
consecutive sampling points, the NCS is transformed into a coupled
switched system. The sufficient condition guaranteeing the asymptotical
stability of the coupled switched system is presented by virtue of the
small gain theorem. The proposed stability analysis method is easier to
test in practical network environment and much less conservative than
existing ones. An algorithm to solve the desired controllers is also
presented.
15:50-16:10
SatB10-2
Fuzzy-Model-Based Stabilization of Nonlinear Networked Control
Systems
Jianan Huang
Guangdong University of Technology
Bing Tang
Guangdong University of Technology
Defeng He
Guangdong University of Technology
Yun Zhang
Guangdong University of Technology
This paper is concerned with fuzzy-model based stabilization of nonlinear
networked control systems (NCSs) with time-varying transmission delays
and transmission intervals based on a random-delay approach. The
real-time distribution of input delays resulting from transmission delays
and intervals is modeled as a dependent and nonidentically distributed
process. Then a randomly switched Takagi-Sugeno fuzzy system with
multiple input-delay subsystems is proposed to model the nonlinear
NCSs. Based on an improved Lyapunov-Krasovskii method, which takes
into account the real-time distribution of input delays in estimating
cross-product integral terms, new sufficient conditions are derived for the
exponential stability of the overall systems. The resulting controller
design method is equivalent to a nonlinear convex optimization problem
with LMI constraints. Numerical examples are presented to substantiate
the effectiveness of our results.
95
2014CCDC
16:10-16:30
SatB10-3
Continuous-Time Markov Chains Based H∞ Control of Networked
Control Systems
Qing-kui Li
Shanxi University
Ning Yang
Shanxi University
Wei-wei Gao
Shanxi University
Mei Li
Shanxi University
This paper deals with the H∞ control for a class of continuous-time
networked control systems based on continuous-time Markov chains.
Firstly, with controller switching strategy, a class of linear continuous-time
networked control systems are modeled as continuous-time Markov jump
linear systems. Secondly, using the Lyapunov functional approach,
sufficient conditions on the existence of an H∞ controller for linear
continuous-time networked control systems are obtained. Finally, a
simulation example is provided to illustrate the effectiveness of the
proposed method. Meanwhile, the occurring rate of dropouts or large
delays, as well as the sojourn time of each mode with dropout or large
delay, respectively, without dropout and large delay are investigated with
the Chapman-Kolmogorov equation.
16:30-16:50
SatB10-4
Set Stability of Boolean Networks via Quotient Mappings
Wang Pan
Central South University
Guo Yuqian
Central South University
The Boolean network is a powerful tool in describing, analyzing, and
simulating the cellular networks. In this paper, we investigate stability of
given subsets (or set stability) for Boolean networks which includes
synchronization problem as a special case. First of all, based on the
semi-tensor product of matrices and the algebraic expression of Boolean
networks, we derive some necessary and sufficient conditions for set
stability. Then we propose a quotient mapping method the main idea of
which is to regard the largest invariant set contained in a pre-specified
subset as a single point and then transfer the set stability problem of the
original Boolean network to the stability of the multi-logical systems in the
quotient space. Examples are also provided to explain the results
obtained.
16:50-17:10
SatB10-5
The flocking and formation of multiple agents based on multiple
virtual leaders
Siming Li
Central South University
Huawen Ye
Central South University
This paper processes the formation problem of multiple agents by
assuming multiple virtual leaders. The basic idea is stated as follows:
every dynamic agent is equipped with a virtual leader, and the agents
reach consensus with their virtual leaders on the velocity and position
through assigning stable control laws. Therefore, to solve the formation
problem we just need to preset the trajectories of every virtual leader, and
make each agent globally asymptotically track its virtual leader. The
detailed work in this paper is stated as follows: we first present the
tracking design for the model of single agent single virtual leader, and
then deal with the situation of multiple agents multiple virtual leaders. The
stability analysis in the case of multiple agents is carried out by
constructing suitable Lyapunov function, and the collision avoidance
performance can be achieved due to the introduction of the artificial
potential field. Finally, simulation examples are given to show the validity
of the result.
17:10-17:30
SatB10-6
Controller Design for Observer-based Continuous-Time Networked
Control Systems with Packet Dropout and Delay
Wang Tian-Bao
Northeastern Univ.
Wang Yu-Long
Jiangsu Univ. of Scie. and Tech.
Zhang Jian
Nanjing Univ. of Information Scie. and Tech.
Feng Yi-Fu
Jilin Normal Univ.
This paper is concerned with the observer-based H1 control for
continuous-time networked control systems(NCSs) considering packet
dropouts and network-induced delays. Under consideration of packet
dropouts and network-induced delays in Sensor-to-Controller (S-C)
channel and network-induced delays in Controller-to-Actuator (C-A)
channel, by taking the non-uniform distribution characteristic of
measurement output arrival instant into full consideration, a new model
for continuous-time NCSs is established. To reduce the conservatism of
modelling, a linear estimation-based measurement output estimation
method is introduced. A novel controller design method is proposed with
defining a new Lyapunov functional. To illustrate the effectiveness and
merits of the proposed method, a numerical example is given at the end
of this paper.
SatB11
Room11B
On the robust and adaptive control for the hypersonic flight vehicles
(Invited Session)
15:30-17:30
Chair: Bin Meng
Beijing Institute of Control Engineering
CO-Chair: Hong-Fei Sun
Xiamen Univ.
15:30-15:50
SatB11-1
Book of Abstracts
Research Progresses on Characteristic Model-Based Control of
Hypersonic Flight Vehicles
Meng Bin
Beijing Institute of Control Engineering
Characteristic modeling based all coefficients adaptive control was
proposed by Academician Wu Hong-Xin in 1980s. The theory is
motivated and gradually enhanced to completion in the past three
decades. This theory and method have already been appliedsuccessfully
to the reentry adaptive control of manned spaceships, automatic
rendezvous and docking between Shenzhou-8, Shenzhou-9 and
Tiangong-1, etc. In addition, the investigation on the characteristic
modeling based all coefficients adaptive control for hypersonic flight
vehicles have also made important progresses. In this paper, we will
simply review the progresses and present the further research problems.
15:50-16:10
SatB11-2
On the Feedback Linearization Control for Hypersonic Flight Vehicle
Analogy X20
Gong Yulian
Beijing Institute of Control Engineering
Meng Bin
Beijing Institute of Control Engineering
In this paper, we consider the control problem of the hypersonic flight
vehicle analogy X20. Through a careful analysis of the relationship
between the aerodynamic coefficients and their independent variables of
height, Mach number, attack angle, sideslip angle and rudder angel, we fit
the aerodynamic coefficients according to the independent variables and
give their analytic expressions. And we establish the affine nonlinear
control model of analogy X20, which is proved the input-output
linearization. On the basis, we design the feedback linearization control
law. When there being the uncertainties of aero density, aerodynamic
moment coefficients and inertia, the simulations are performed for the
original dynamics, which include the earth rotation and whose
aerodynamic data come from the aerodynamic data table directly. The
simulation results indicate that the resulting control law ensures the
control targets and has strong robustness.
16:10-16:30
SatB11-3
Robust Adaptive Tracking Control for Air-Breathing Hypersonic
Vehicles
Zhiling Yang
Xiamen Univ.
Bin Meng
Beijing Institute of Control Engineering
Hongfei Sun
Xiamen Univ.
This paper focuses on the adaptive tracking problem for air-breathing
hypersonic vehicles (AHVs) subject to aerodynamic uncertainties and
unknown disturbances caused by modeling errors. Motivated by the
nonlinear disturbance observer-based control approach (NDOBC), the
parameter uncertainties are merged into the disturbances. A control law
based on the tracking control method originally proposed by Sun et al.
(2013) is designed to achieve the desired tracking objective. The
adaptation law used to update the disturbances estimates can be
synthesized by usual adaptive control techniques. Different from the
backstepping method, this control method does not need to transform the
system model into a strict-feedback form. Simulation results show its
effectiveness.
16:30-16:50
SatB11-4
Tracking Control for Air-breathing Hypersonic Vehicles Based on
Active Disturbance Rejection Control Technique
Yan Jinke
Xiamen Univ.
Sun Hongfei
Xiamen Univ.
In order to deal with the inherent characteristics of an air-breathing
hypersonic vehicle (AHV) including high nonlinearity, strong coupling,
fast-time variability, under-actuation, parameter perturbations as well as
uncertainties, the cascade decoupling technique based on the active
disturbance rejection control (ADRC) is applied to design a tracking
controller during cruise. The tracking strategy designed in this way does
not need to ignore the inner-to-outer-loop couplings when the tracking
task is performed on the basis of dividing the control system into the inner
and outer loops. By using the ADRC, the summation of the parameter
perturbations and external disturbances can be estimated on line thus
compensated for in the feedback loop, therefore, it is easier to achieve
the real-time dynamic feedback linearization. The longitudinal motion
dynamics of an AHV is partitioned into two parts, the velocity and
rotational (flight-path-angel, angle of attack, and pitch rate) subsystems
and, the rotational subsystem is rewritten as the cascade form. Then the
rotational subsystem is regarded as the combination of the inner loop
(flight-path-angel), middle loop (pitch angle), and outer loop (pitch rate).
The ADRC is employed in the velocity subsystem and the three loops of
the rotational subsystem to attain the tracking controller. Numerical
simulations show that the designed controller has good robustness and
adaptability for the parameter perturbations and external disturbances.
16:50-17:10
SatB11-5
Distributed Adaptive Attitude Consensus of Networked Spacecraft
on Directed Graphs
Lijiao Wang
Beijing Institute of Control Engineering
In this paper, we address attitude consensus problem of multiple
spacecraft in the presence of dynamic uncertainties and bounded
constant time delays. The agents are assumed to interact on strongly
96
2014CCDC
connected graphs. The consensus objective is achieved via the
construction of the reference systems, where the quaternion-based
nonlinear inner coupling of the attitudes is utilized as the reference
control input such that the attitudes of the reference systems are driven to
synchronize asymptotically. Then, based on the reference systems, we
perform the quaternion-based adaptive controller design to achieve
consensus of the networked spacecraft.
The convergence of consensus errors is proved with energy-based
analysis structure and Lyapunov stability tool. Finally, simulation with
networked spacecraft is included to validate the effectiveness of the
proposed strategy.
17:10-17:30
SatB11-6
Current Research and New Trends on Flight Control of
Air-Breathing Hypersonic Cruise Vehicles
LI Gongjun
Beijing Institute of Control Engineering
This paper reviews research results on flight control of air-breathing
hypersonic cruise vehicles. The results are classified according to
different flight control strategies. Their main ideas and drawbacks are
analyzed. Finally, some suggestions on future work based on the analysis
are pointed out.
SatBIS
(Interactive Session)
The lobby of the 4th floor
15:30-17:30
SatBIS-1
Analysis Based on the Shortest Path Method of Equipment
Replacement
Ping Zhao
Xi'an Univ. of Architecture and Tech.
Laifeng Li
Xi'an Univ. of Architecture and Tech.
Equipment is the foundation and precondition of the survival of the
enterprises, the advanced level and the update problem of which directly
affect the enterprise's survival and development, which also are paid
more and more attention. Based on network model, this paper studied the
update problem of the construction equipment, through changing the
equipment update problem to the shortest path problem of graph theory,
so as to solve the selection problem of equipment renewal scheme and
ensure total cost of equipment replacement is the minimum in the service
life. Compared to the traditional method of equipment renewal, this
method possesses more intuitive. Through a instance analysis of
concrete mixer truck in a construction enterprise, the paper proved and
solved the method mentioned above and reached the optimal solution..
SatBIS-2
An improved Harmony search algorithm with dynamic control
parameters for continuous optimization problems
Biao Zhang
Liaocheng Univ.
Huihui Yan
Liaocheng Univ.
Junhua Duan
Liaocheng Univ.
J.J.Liang
Zhengzhou Univ.
Hongyan Sang
Liaocheng Univ.
Quanke Pan
Northeastern Univ.
An improved harmony search algorithm is presented for solving
continuous optimization problems in this paper. In the proposed
algorithm, an elimination principle is developed for choosing from the
harmony memory, so that the harmonies with better fitness will have
more opportunities to be selected in generating new harmonies. Two key
control parameters, pitch adjustment rate (PAR) and bandwidth distance
(bw), are dynamically adjusted to favor exploration in the early stages
and exploitation during the final stages of the search process with the
different search spaces of the optimization problems. Numerical results of
12 benchmark problems show that the proposed algorithm performs
more effectively than the existing HS variants in finding better solutions.
SatBIS-3
The Application of Ascending Iterative Optimization Algorithm
Yi Xu
Northeast Dianli Univ.
In this paper, a new kind of iterative algorithm----Ascending iterative
optimization algorithm is investigated. The following steps are the basic
procedure of this algorithm. Step 1, establish a Minimum and maximum
model based on the concrete example with the help of 0-1 variables. Step
2, establish the objective function targeting on the Minimal Time for police
cars to reach the last intersection which is required to be blocked. Step
3,solve the objective function with Lingo programs, confirming the
reasonable scheduling scheme of police forces from all the Police
Service Platforms.
SatBIS-4
The Research and Application of Laying Photovoltaic Battery With
The Optimal Obliquity
Jie Zhang
Northeast Dianli Univ.
Lianjie Shan
Northeast Dianli Univ.
Feng Li
Northeast Dianli Univ.
Tingyu Gao
Northeast Dianli Univ.
Firstly，this paper established an optimization model on laying otovoltaic
battery with the optimal horizontal obliquity aiming at maximum radiation
Book of Abstracts
intensity and the slope obliquity as the decision variable. Then, proposed
an "Embedded Search Algorithm" to solve this model. The algorithm not
only has high computation efficiency, but also can according to the
requirements of the project to achieve satisfactory accuracy. And the
results of case analysis verified the rationality of the model and the
effectiveness of the algorithm.
2014CCDC
and multi-task routing problem of 4PL is considered, and the problem is
simplified with mathematic and optimizing methods. To solve this
complex mathematical model, this paper proposed a improved ant colony
algorithm and compares it with basic ant colony algorithm. Numerical
experiments show the effectiveness and robustness of the algorithm for
the proposed problem.
SatBIS-5
The Study of Two Stage Optimization Model of PV Installation
Design
Jie Zhang
Northeast Dianli Univ.
Chao Yin
Northeast Dianli Univ.
Menggang Jiao
Northeast Dianli Univ.
Wenyu Liu
Northeast Dianli Univ.
According to the laid problem of photovoltaic cells, first of all, we need to
divide the wall which laid photovoltaic cells into pieces to lay more
photovoltaic cells; Secondly, to make total electricity generation maximize
and unit electricity generation cost as little as we can, we established the
0-1 multi-objective programming model; Thirdly, aiming at lowest cost,
the inverter configuration optimization model is established; Finally, we
modeling to the instance of the solar house design , and obtained
reasonable scheme of the solution of photovoltaic battery lying and
inverter configuration.
SatBIS-10
Two Modified PRP Conjugate Gradient Methods with Sufficient
Descent property for Unconstrained Optimization
Yubin Zhou
Coll. of Humanities and Scie. of Northeast
Normal Univ.
Zhongbo Sun
Coll. of Humanities and Scie. of Northeast
Normal Univ.
Jilin Univ.
Xudong Shi
Coll. of Humanities and Scie. of Northeast
Normal Univ.
Yinghui Teng
Coll. of Humanities and Scie. of Northeast
Normal Univ.
In this paper, we propose two modified conjugate gradient methods,
which produce sufficient descent direction at every iteration. The
theoretical analysis shows that the algorithms are global convergence
under some suitable conditions. The numerical results show that both
algorithms are efficient for the given test problems from the Matlab library.
SatBIS-6
Gain Estimates and Exponential ISS for a Class of Hybrid Dynamical
Networks
Bin Liu
Hunan Univ. of Technology
Chunxia Dou
Yanshan Univ.
Dong-Nan Liu
Hunan Univ. of Technology
This paper studies the exponential input-to-state stability (e-ISS) for
hybrid dynamical networks (HDNs) consisting of flow and jumping
subsystems. Concepts of input-to-state exponent (IS-E) and event-ISS
are proposed. By using the IS-E estimates of subsystems and the
method of multiple Lyapunov functions and M-matrix theory, the e-ISS
including event-e-ISS criteria are established for HDNs. The small-gain
condition for the coupling of flows is needed while such condition for the
coupling of impulses is not necessary. It also shows that a HDN may
have ISS even all subsystems have no ISS. Finally, one example is given
to illustrate the results.
SatBIS-7
A Predictive Current Control Strategy for Grid Side Converter in
Doubly-fed Wind Power System
Yang Shen
State Grid ShangHai Municipal Electric Power
Company JiaDing Power Supply Company
Li Zhang
State Grid ShangHai Municipal Electric Power
Company JiaDing Power Supply Company
Hui Chen
State Grid ShangHai Municipal Electric Power
Company JiaDing Power Supply Company
Xianfeng Lu
State Grid ShangHai Municipal Electric Power
Company JiaDing Power Supply Company
Zhong Qian
State Grid ShangHai Municipal Electric Power
Company JiaDing Power Supply Company
In this paper a current predictive control strategy for grid side converter
was proposed, which is of fixed switching frequency, the sinusoidal
output current, and fast dynamic response. Experimental platform based
on Infineon XC2785X was built. Experimental results showed that the
control strategy is feasible and efficient.
SatBIS-8
The Basic Properties and Algorithm of a Linear Bilevel
Programming Model with Multiple Followers
Shengyue Deng
Hunan Univ. of Tech.
Yangjin Cheng
Xiangtan Univ.
Xinfan Wang
Hunan Univ. of Tech.
The geometric properties and optimality conditions for a class of typical
odel of linear bilevel programming with multiple followers are discussed in
this paper. Under the assumption that the constrained set is nonempty
and bounded, we study the geometric properties of the feasible set and
reach the conclusion of the feasible set of weak quasi-convex and
connected set. An optimum condition is obtained by using the duality
theory of linear programming. According to these properties, an algorithm
is proposed to solve the model and to verify the correctness of the theory
and the feasibility of algorithm by giving the examples of numerical
calculation.
SatBIS-9
Improved Ant Colony Based Multi-objective Multi-task Routing for
4PL Under Non-reusable Capacity
Liang Ren
Northeastern Univ.
Min Huang
Northeastern Univ.
Speeding of E-commerce and Internet nowadays promote development,
reform and recombination of logistics industry. More and more
professionals focus here and approve concept of 4PL, which is the
integrator of logistics industry, owns obvious advantages, and can play a
role in today's highly competitive condition. In this paper, a multi-objective
97
SatBIS-11
Solving Multiobjective Optimal Reactive Power Dispatch Using
Improved Multiobjective Particle Swarm Optimization
Yujiao Zeng
Automation Research and Design
Institute of Metallurgical Industry
Yanguang Sun
Automation Research and Design
Institute of Metallurgical Industry
In this paper, a novel improved multiobjective particle swarm optimization
(IMOPSO) is proposed for solving the optimal reactive power dispatch
(ORPD) problem with multiple and competing objectives. In order to
improve the global search capability and the nondominated solutions
diversity, time variant parameters, mutation operator, and dynamic
crowding distance are incorporated into the MOPSO algorithm. In
addition, multiple powerful strategies, such as mixed-variable handling
approach, constraint handling technique and stopping criteria, are
employed. The propose IMOPSO is validated on the standard IEEE
30-bus and IEEE 118-bus systems, and compared with MOPSO and
nondominated sorting genetic algorithm( NSGA-II) using performance
metrics with respect to convergence, diversity, and computational time.
The numerical results demonstrate the superiority of the proposed
IMOPSO in solving the ORPD problem while strictly satisfying all the
constraints.
SatBIS-12
Application of quantum-behaved particle swarm optimization
algorithm
Shanli Wang
Guangxi Univ.
Jun Long
Guangxi Univ.
Zhiyi Wei
Guangxi Univ.
As one of the typical examples of Swarm Intelligence Algorithm, POS has
been applied successfully in many fields. But it cannot guarantee a
globally optimal solution. To improve that, researchers use related
theories in quantum mechanics combined with the basic convergence of
particle swarm and put forward a new model of PSO as
Quantum-behaved PSO. The new algorithm is convenient for appliance
and good at finding the globally optimal solution. It has been proved of
good performance to solve optimizing problems through engineering
application instances. The paper analyzes deeply the QPSO and
thoroughly discusses the engineering application of QPSO and its
improvement. It also has the prospect of the development tendency and
extended applications of QPSO.
SatBIS-13
Optimization Chemical Control in Integrated Pest Management
Hongjun Guan
Shenyang Univ.
This paper considers optimization chemical control in integrated pest
management. The impulsive models of the pest management consisting
of the spaying pesticides and the pesticide effect of crops are established
and analyzed. Making use of the optimal control theory to solve the
optimal dosages of the pesticides and the time intervals with spaying
pesticides. Thus, given an optimal pest management strategy of the
chemical control, which makes pesticide residuals and the total dose of
the spraying pesticides least, and pest populations, can maintain the level
below the economic threshold. Finally, the simulation result shows the
strategy is viable and effectively.
SatBIS-14
Prediction Model of Non-stationary Time Series Parameters
Complex Blending Process
Lijun Xi
Hunan Univ. of
Lingshuang Kong
Hunan Univ. of
Shenping Xiao
Hunan Univ. of
for a
Tech.
Tech.
Tech.
Book of Abstracts
Gang Chen
Hunan Univ. of Tech.
Considering the difficulty of on-line measurement and the large
time-lagging in a complex blending process, a hybrid prediction model is
proposed to effectively realize the prediction of non-stationary time series
parameters with large fluctuation. Firstly, by wavelet decomposing, the
original time series is decomposed into different frequency subseries
according to scale. Then, according to the characteristics of each
subseries, the ARMA model, BP neural network model and Holt-Winters
no seasonal model are respectively used to build the prediction model for
the high frequency subseries and the low frequency subseries. Finally,
the prediction results of each subseries are synthetized to obtain the
prediction value of original time series. The prediction results show that
the proposed model has the great advantage for the prediction of
non-stationary time series with large fluctuation of the process industry.
SatBIS-15
Combining CA and PSO to Solve Flexible Job shop Scheduling
Problem
Wei Zhou
East China Univ. of Scie. and Tech.
Yanping Bu
Shanghai Jiaotong Univ.
Yeqing Zhou
Fudan Univ.
The flexible job shop scheduling problem (FJSP) is an extension of the
classic job shop scheduling problem (JSP), which breaks through the
uniqueness of limit resources, allows a procedure in many machines
processing and one machine processing many kinds of different types of
procedures. It is more practical and complex than JSP. The
computational complexity of FJSP is much higher, which disables exact
solution methods and makes heuristic approaches more qualified. A
hybrid optimization algorithm, CPSO, based on the cultural algorithm and
particle swarm optimization algorithm, is proposed in this paper to solve
the FJSP. The objective is to minimize makespan. Computational results
show that this hybrid method is able to solve efficiently these kinds of
problems.
SatBIS-16
An Improved NSGA-II to Solve Multi-Objective Optimization Problem
Yaping Fu
Northeastern Univ.
Min Huang
Northeastern Univ.
Hongfeng Wang
Northeastern Univ.
Guanjie Jiang
Northeastern Univ.
Univ. of Scie. and Tech. Liaoning
NSGA-II (nondominated sorting genetic algorithm II) is a popular
multi-objective evolution algorithm (MOEA), which applies binary
tournament selection, elitist preserving strategy, nondominated sorting
and crowding distance mechanism to obtain a good quality and uniform
spread nondominated solution set. In this paper, an improved version of
NSGA-II (INSGA-II) is proposed aiming to increase the diversity and
enhance the local search ability. The INSGA-II has two populations:
interior population and external population. The external population is
used to store the nondominated solution found in the search process,
while the interior population takes part in generation evolution. When the
interior population tends to converge, it is updated by the individuals in
the external population and generated randomly. A local search based on
the amount of domination is applied to enhance the local search ability. In
order to demonstrate the effectiveness of the proposed INSGA-II,
comparisons with NSGA-II is carried out by ten functions, and the results
show the quality and spread of INSGA-II are better than NSGA-II.
SatBIS-17
Guidance law modeling based on the ideal line-of-sight with
constraint of the terminal flight angle and acceleration
Hao Li
Beijing Institute of Tech.
Haoping She
Beijing Institute of Tech.
In the process of pursuing the target,we not only expect the least miss
distance,but also a better attitude when the missiles impact the
target.The better attitude can effect the power of missiles,and what’s
more,it can avoid the unnecessary disturbance.For instance,a missile
always fails to lock the target owing to the too complicated background
while attacking a low-attitude target.The strong surficial background and
ground clutter will disturb the seeker’s ability to intercept and capture the
target.It’s a serious problem faced by modern missile guidance system,so
we must keep some constraints on the terminal direction line of sight to
avert the disturbance,enhance the accuracy of control system. This
dissertation focus on the optimal guidance law using a new modeling
method to achieve the purpose of control the terminal direction of the line
of sight.The complementary constrain for the guidance law as the bound
on the acceleration show that the new method of modeling is a better way
of modeling to solve the problem about final constrain of the final direction
of the line of sight when it’s compared with the conventional ones.It’s
more succinct and more suitable of engineering.In the end,we design a
strategy for a situation about air-to-air missile attacking low-attitude
target.The result of simulation shows the guidance law achieve the
requirement commendably.
SatBIS-18
Research on Partner Selection Problem of Virtual Enterprise Based
on Improved Genetic Algorithm
98
2014CCDC
Wei Zhou
East China Univ. of Scie. and Tech.
Yanping Bu
Shanghai Jiaotong Univ.
Yeqing Zhou
Fudan Univ.
The partner selection and optimization problem is an important area of
virtual enterprise (VE). Genetic algorithm （GA） is optimization and
parallel strategy simulating biology evolutionary mechanism in nature and
a high efficient algorithm solving these types of problems. After analyzing
the partner selection problems of virtual enterprise, the improved genetic
algorithm (IGA) was presented to solve enterprise alliance problem within
reasonable time and cost. There are certain number partners of each
sub-task in virtual enterprise environment. The objective is, by selecting
the optimal combination of partners, to minimize project’s completion time
and project’s total cost. A set of experiments show that the algorithm is
stable and presents low variability. We analyze the laboratory results to
show that the improved algorithm has better characteristics than standard
GA when it was used in partner selection problems.
SatBIS-19
Feedback-assisted Iterative Learning Control Based on a Nonlinear
Fuzzy Model
Ke Xi
North China Electric Power Univ.
Xiangjie Liu
North China Electric Power Univ.
As a feedforward control strategy, iterative learning control (ILC) is used
to track a pre-defined reference and reject repetitive disturbances
iteratively, but it is incapable of compensating for non-repetitive
disturbances. Thus, ILC is often combined with a well-designed feedback
controller. Considering nonlinear process, this paper presents an
integrated ILC and on-line model predictive (MPC) strategy for wide
range-operation, which base on a fuzzy model. In the overall control law,
the feedforward ILC contributes the majority of the control signal, while
the feedback MPC is meant to be supplementary to regulate the control
signal and reject disturbances. The performance of the feedback-assisted
ILC is illustrated by a steam-boiler system.
SatBIS-20
Nonlinear Multivariable Supervisory Predictive Control for
Drum-Type Boiler-Turbine System
Yubin Jia
North China Electric Power Univ.
X. J. Liu
North China Electric Power Univ.
Supervisory predictive control based on GPC theory is an effective
control algorithm for complex industrial process which can be realized by
adding a supervisory optimal level without modifying the regulatory level.
In this paper supervisory predictive control is studied and applied in
drum-type boiler-turbine system which is characterized by nonlinearity.
Therefore, T-S fuzzy model is used to approximate the dynamics of
nonlinear processes. Reasonable solution to the optimization and
constraints using Quadratic Programming is presented. Electric power,
steam-water fluid density in the drum and drum water level control in
drum-type boiler-turbine system is displayed to illustrate the advantages
of the proposed method.
SatBIS-21
Reactive Power Optimization of Electric Power System
Incorporating Wind Power Based on Parallel Immune Particle
Swarm Optimization
Tianhong Wang
China Power Complete Equipment Co., Ltd.
Guili Yuan
North China Electric Power Univ.
Lei Zhu
North China Electric Power Univ.
Tong Yu
North China Electric Power Univ.
This paper aims at the characteristics of reactive power optimization of
the electric power system with the wind farm; proposing a new method for
reactive power optimization on the entire power grid which uses the
Parallel Immune Particle Swarm Optimization. It uses integer and real
number hybrid encoding, improves the efficiency of compiling. And it
combines the continuous and discrete particle swarm optimization, and
introduces immune operators to improve the convergence precision.
IEEE-14 and IEEE-30 system simulation examples show that the new
method has better global convergence ability, faster convergence rate
and higher accuracy.
SatBIS-22
The UAV dynamic path planning algorithm research based on
Voronoi diagram
Xia Chen
Shenyang Aerospace Univ.
Xiangmin Chen
Shenyang Aerospace Univ.
According to the flight path planning problem in dynamic environment,
this paper gives a method of analysis. First, the radar threat field based
on Voronoi diagram is created, and the track performance indicators
established based on radar threat cost and fuel cost. Then the dijkstra
algorithm was improved, and the algorithm is used for path planning in
dynamic environment. .Finally, the simulation experiment is made, the
result of simulation shows that the improved algorithm can achieve
real-time tracking of moving targets, so the effectiveness of the algorithm
is be verified.
SatBIS-23
Book of Abstracts
A Fast Weight Optimization Method in H∞ Loop-shaping Design for
Single Input Single Output System
Yuyan Liu
North China Electric Power Univ.
Shiliang Zhou
North China Electric Power Univ.
A weight optimization method for single input single output system H∞
Loop-shaping Design is addressed. Using the proposed method,
suboptimal weight which meets constraints of desired loop-shaping and
grade of amplitudefrequency curve of weight can be obtained.
Acceptable range of amplitude-frequency curve of weight is also given, in
which maximum robust stable margin is kept. Designer can choose low
order whose amplitude-frequency curve is within this range no matter
how much fitting error between the selected weight and optimal
amplitude-frequency is. Simulation results show that the proposed
method can maximize the robust stable margin while ensuring loop shape
of open loop plant lives in a pre-defined region and grade of weight less
than the value given by designer. Stable lightly damped pole-zero
cancellation is prevented, which is attributed to grade constraint of
amplitude-frequency curve of the synthesized weight. And corresponding
program is at least 100 times faster than similar optimization algorithm
which completely is based on linear matrix inequality technology.
SatBIS-24
An off-line approach to dynamic output feedback robust model
predictive control with ellipsoidal estimation error set
Xubin Ping
Xidian Univ.
Ning Sun
Xidian Univ.
Baocang Ding
Xi’an Jiaotong Univ.
For the system with both polytopic uncertainty and bounded disturbance,
an off-line approach to the dynamic output feedback robust model
predictive control is considered. To reduce the on-line computational
burden, a look-up table is constructed off-line for on-line searching the
real-time control parameters. During the on-line searching stage, if an
off-line calculated ellipsoidal region of attraction contains the real-time
estimated state, then the corresponding off-line calculated control
parameters are real-time feasible. On-line, the real-time controller
parameters are searched in the look-up table according to region of
attraction with the closest containment of the real-time estimated state. A
numerical example is given to illustrate the effectiveness of the approach.
SatBIS-25
A Comparison of Accuracy and Efficiency of Three Control Strategy
Design Methods for Low Energy Moon Return Mission
Yue Liu
Harbin Institute of Tech.
Wuxing Jing
Harbin Institute of Tech.
Yingying Xiao
Harbin Institute of Tech.
In this paper a comparison is made between three thrust steering
strategy design methods for the low energy moon return mission. The
dynamic equations are given under the elliptical four body problem and
the virtual satellite method applied to establish the control model.
Because of the narrow launch window and weak stability of the low
energy return orbit, the space craft must inject into the target orbit with a
high accuracy while it’s necessary to finish the optimization within a short
time. So the efficiency and accuracy of the three methods, the changing
thrust angle iteration method, the maximum principle optimization method
and the Gauss pseudo spectral method are analyzed in a simulation
example. From the result, it’s found that, though the changing thrust
angle iteration method cannot give an accurate control strategy but the
high efficiency of the algorithm can provide a preferable original value for
the other methods to decreases the amount of computation in solving the
accurate optimal control strategy.
SatBIS-26
Opposition-Based Learning Harmony Search Algorithm with
Mutation for Solving Global Optimization Problems
Hao Wang
Northeastern Univ.
LiaoNing provincial Coll. of Communications
Haibin OuYang
Northeastern Univ.
Liqun Gao
Northeastern Univ.
Wei Qin
China Academy of Aerospace Aerodynamics
(CAAA)
This paper develops an opposition-based learning harmony search
algorithm with mutation (OLHS-M) for solving global continuous
optimization problems. The proposed method is different from the original
harmony search (HS) in three aspects. Firstly, opposition-based learning
technique is incorporated to the process of improvisation to enlarge the
algorithm search space. Then, a new modified mutation strategy is
instead of the original pitch adjustment operation of HS to further improve
the search ability of HS. Effective self-adaptive strategy is presented to
fine-tune the key control parameters (e.g. harmony memory
consideration rate HMCR, and pitch adjustment rate PAR) to balance the
local and global search in the evolution of the search process. Numerical
results demonstrate that the proposed algorithm performs much better
than the existing improved HS variants that reported in recent literature in
terms of the solution quality and the stability.
2014CCDC
Ciann-Dong Yang
National Cheng Kung Univ.
Lieh-Lieh Cheng
National Cheng Kung Univ.
Ming-Hsien Hsia
National Cheng Kung Univ.
Following the de Broglie’s idea of pilot wave, this paper treats quantum
mechanics as a problem of stochastic optimal guidance law design. The
guidance scenario considered in the quantum world is that an electron is
the flight vehicle to be guided and its accompanying pilot wave is the
guidance law to be designed so as to guide the electron to a random
target driven by Wiener process, while minimizing a cost-to-go function.
After solving the stochastic optimal guidance problem by differential
dynamic programming, we point out that the optimal pilot wave guiding
the particle’s motion is just the wavefunction Ψ (t,x), a solution to
Schrödinger equation. Quantum trajectories under the action of the
optimal guidance law are solved and their statistical distribution is shown
to coincide with the prediction of the probability density functionΨ*Ψ.
SatBIS-28
The Optimization Model and Algorithm Study of Photovoltaic Cells
Installation and Design
Ru Qu
Northeast Dianli Univ.
Ruonan Xu
Northeast Dianli Univ.
Yuting Bian
Northeast Dianli Univ.
Yue Liu
Northeast Dianli Univ.
According to the goal that total annual solar photovoltaic power
generation in solar house is as large as possible, and unit power
generation costs are as small as possible, multi-objective optimization
model of installation and design is established; Efficiency - cost sorting
algorithm based on heuristic is proposed. Finally, we applied the
algorithm to the practical Photovoltaic cell installation and design, and
obtained the reasonable laying scheme and inverter options of
photovoltaic cell components connect.
SatBIS-29
Application of Quorum Sensing to PSO and MOPSO for
Convergence Promotion
Shan Cheng
China Three Gorges Univ.
Gang Hu
Chongqing Univ. of Scie.and Tech.
Tianya Qin
China Three Gorges Univ.
One of the most important features of the PSO algorithm is its fast
convergence. This is a positive feature as long as there’s no premature
convergence. Inspired by the phenomenon of quorum sensing behavior
in the bacteria, we incorporate this bio-behavior into PSO and MOPSO to
maintain the swarm diversity and promote global exploration when the
velocity of each particle in the swarm is rather small. The effectiveness of
applying quorum sensing to PSO and MOPSO has been tested on a set
of benchmark functions and compared with representative algorithms.
Simulation results illustrate that application of quorum sensing to PSO
and MOPSO enables to promote their convergence, the proposed
algorithms with introduction of quorum sensing mechanism are rather
competitive and could be used as effective global optimization tools.
SatBIS-30
Research of Urban Green Space Distribution Based on Convex
Programming Model
Xiaoning Yue
Shenyang Univ.
Mengxiang Wu
Shenyang Univ.
Yue Ding
Shenyang Univ.
The product diffusion theory and the optimization theory are introduced to
research the quantification of the livable index satisfaction for green
coverage of urban and performed the quantitative analysis on the
rationality of distribution. Using the statistical curve regression theory and
mathematical statistics software SPSS, the utility function of livable index
satisfaction for green coverage of urban is analyzed with using the curve
of Logistic regression. In which urban residents are regarded as the
subject, a convex programming model for green coverage ratio of urban
is established, and the existence condition for the optimal solution of
convex programming is proposed. In the meantime, the optimum
distributions of green coverage are discussed. Some references for the
theory and practice of livable urban are provided by the results of the
study.
SatBIS-31
Comparative Study on Several PSO Algorithms
Weichang Jiang
Beijing University of Tech.
Yating zhang
Beijing University of Tech.
Ruihua Wang
Beijing University of Tech.
With the development of intelligent algorithm, GA and PSO have become
the hot spot for the study on multi-objective optimization in recently years.
Information sharing is the core of PSO algorithm. Comparing with GA,
PSO algorithm has less variables to adjust and is easy to achieve, so it is
widely used in engineering.This paper focus on the comparation on
several PSO algorithm and introduce a kind of PSO algorithm that is
better in performance than others.
SatBIS-32
Research of Harmony Search Algorithm based on variable metric
method
SatBIS-27
Optimal Guidance Law in Quantum Mechanics
99
Book of Abstracts
Wei Qi
Henan Univ.
Xuwang Liu
Henan Univ.
Harmony search algorithm is a good intelligent optimization algorithm, but
it is not high robustness and large random. So combining variable metric
method of the better local search ability, Harmony Search Algorithm
based on variable metric method is proposed. Giving the theory of the
basic harmony search algorithm and variable metric method, the specific
processes of the improved algorithm is analyzed, through four test
functions demonstrate the performance of the improved algorithm. The
numerical experiments show that the means of the algorithm are better
than other given algorithms in the text, and standard deviations are better
than other algorithms. This shows the improved algorithm has the better
optimization ability, good robustness, and the method is easy
implemented,it has a good prospect in engineering.
2014CCDC
Guangdong Univ. of Foreign Studies
Guangdong Univ. of Tech.
Kairui Chen
Guangdong Univ. of Tech.
Yun Zhang
Guangdong Univ. of Tech.
This paper is devoted to the consensus problem of multi-agent systems
with inherent nonlinear dynamics. To reflect the practical environment of
multi-agent systems, the communication topology is assumed to switch
slowly within a finite set of directed topologies restricted by an average
dwell time switching signal. By taking advantage of tools from switched
systems and piecewise Lyapunov functions, it is shown that consensus
can be guaranteed for the choice of suitable parameters if each topology
contains a directed spanning tree. Explicit analytical conditions on both
feedback gain and average dwell time of admissible switching signals for
consensus are also offered. Finally, an example with computer simulation
is provided to illustrate the theoretical results.
Junwei Wang
SatBIS-33
A new sample update strategy based on kringing
Yuanyuan Chen
Northwest Polytechnical Univ.
Junqiang Bai
Northwest Polytechnical Univ.
Dan Wang
Northwest Polytechnical Univ.
The study presented in this paper sets up a new mixing sample update
strategy based on the Kriging model to address the issue of accuracy in
complicated engineering optimization problems by adding points
dynamically. First, a new optimized Latin Hypercube Sampling
experiment design method is established to increase the homogeneity of
the sample. Second, a sample update strategy based on local
optimization and EI-based Kriging model is established. Three numerical
samples are carried out to compare the results of traditional popular
method EGO, and the results show that this method has increased the
accuracy and the efficiency. The successful application of this method on
RAE2822 Airfoil using less sample and reducing 14.3% of the drag has
further proven the effectiveness of this method.
SatBIS-38
Mean Square Synchronization of Nonlinear Multi-Agent Systems
under Measurement Noises
Wenhui Liu
South China Univ. of Tech.
Feiqi Deng
South China Univ. of Tech.
Jiarong Liang
Guangxi Univ.
Hongwei Ren
South China Univ. of Tech.
Guangdong Univ. of Petrochemical Tech.
This paper studies the synchronization problem of multi-agent systems
with nonlinear dynamics in mean square. It is supposed that the
measurement of relative-state is disturbed. For the nonlinear multi-agent
systems, we show that the conventional consensus protocols are robust
against the measurement noises which are dependent to the
relative-state. Simulations are provided to demonstrate the theoretical
results.
SatBIS-34
An Improved Quantum Particle Swarm Optimization and Its
Application in System Identification
Huang yu
North China Electric Power Univ.
Xiao tiantian
North China Electric Power Univ.
Han pu
North China Electric Power Univ.
In order to improve convergence speed and precision of optimization in
quantum particle swarm optimization (QPSO), an improved quantum
particle swarm optimization (IQPSO) algorithm was presented. Chaotic
sequences were used to initialize the origin angle position of particle,
mutation operation algorithm was used to increase diversity of population
and avoid premature convergence. The proposed algorithm was applied
to identify the classic adaptive infinite impulse response (IIR) model, the
results show the validity of IQPSO.
SatBIS-39
A new consensus protocol for high order multi-agent systems
Changbin Li
Tianjin Univ.
Chunyan Du
Tianjin Univ.
Yi He
Tianjin Univ.
In this paper, the consensus problem of a class of high order multi-agent
systems is studied. We supposed the multi-agent can only exchange
information only accord to a directed communication graph. By using the
relative state consensus algorithm, a sufficient condition is provided for
consensus achievement. Then, a new consensus protocol which using a
state observer is provided. The N observer and the N multi-agents can be
viewed as 2N multi-agent components which will reach consensus
asymptotically. This technique simplified consensus protocol design to
some extent. We believe this technique can be extended to solve
consensus problem exists in multi-agent systems with nonlinear
dynamics over directed communication graph or even switching graph.
SatBIS-35
Some Necessary and Sufficient Conditions for Containment Control
of the Second-order Multi-agent Systems
Bin Qi
Jiangnan Univ.
Wuxi Institute of Tech.
Baotong Cui
Jiangnan Univ.
Xiaojiao Zhang
Jiangnan Univ.
In this paper, distributed containment control problems of the
second-order multi-agent systems under the undirected communication
topology are investigated. Based on the LaSalle’s Invariance Principle
and the control protocols proposed in this paper, some necessary and
sufficient conditions for the achievement of containment control are
respectively proposed in the presence of multiple stationary leaders and
multiple dynamic leaders. Finally, several simulation results are
presented to support the effectiveness of our theoretical results.
SatBIS-36
Finite-time attitude consensus tracking with terminal sliding mode
observer
Xinsheng Wang
Harbin Institute of Tech.
Huaqiang Zhang
Harbin Institute of Tech.
Changxi Li
Harbin Institute of Tech.
In this paper, a distributed attitude consensus tracking control law is
proposed for satellite formation flying by using sliding mode method.
First, graph theory and Modified Rodriguez Parameters (MRPs) are
introduced to describe the relation and dynamics of the team. Second,
distributed terminal sliding mode observers are constructed to estimate
the velocity state of rigid bodies in the team. The observer error will
converge to zero in finite time. Then, an attitude consensus tracking
control law based on sliding mode method is discussed, using the
estimated states by the proposed observers. The control law can ensure
not only attitude agreement between rigid bodies in the team but also
time-varying reference tracking without velocity measurements. Finally,
an illustrative example shows that the attitude tracking goal will achieve
with the velocity-free consensus control strategy.
SatBIS-37
Consensus of multi-agent nonlinear dynamic systems under slow
switching topology
100
SatBIS-40
Synchronization Control of Multi-finger Dexterous Hand Based on
Iterative Learning Control Scheme
Lei Chen
Huazhong Univ. of Scie. and Tech.
Mingfeng Ge
Huazhong Univ. of Scie. and Tech.
Dingxin He
Huazhong Univ. of Scie. and Tech.
Zhihong Guan
Huazhong Univ. of Scie. and Tech.
Yanwu Wang
Huazhong Univ. of Scie. and Tech.
In this paper, aiming at solving the synchronous problem of multi-finger
dexterous hand, we introduced the iterative learning control (ILC)
algorithm into the control of the system’s synchronous coupling error to
ensure the synchronization between finger joints on the premise that the
system have good performance. In addition, we introduce a
Lyapunov-like composite energy function to analyse the stability of the
system with the ILC controller. Finally a simulation is conducted to show
the performance and verify that the system could achieve stability.
SatBIS-41
A kind of Soft Sensing Method for Biomass Concentration of
Phytoplankton in Seawater
Ying Zhang
Shanghai Maritime Univ.
Jia Shi
Shanghai Maritime Univ.
Effective monitoring the growth state of seawater phytoplankton plays an
important role for the early warning of marine disasters, such as coastal
red tides. Grey correlation analysis method was used to select the
secondary variables of the soft sensing model. It can effectively reduce
the dimension of the system. Extreme learning machine regression
(ELMR) method was used to build the soft sensing model of biomass
concentration of phytoplankton. Comparing with the generalized
regression neural network, the testing result indicates that extreme
learning machine regression has better accuracy, efficiency and
generalization ability of measurement than the other methods. It adapts
to be used for real time monitoring of biomass concentration of
phytoplankton in seawater.
SatBIS-42
Primary Research on the System Identification Method of Pitching
and Heave Motion of Composite Trimaran
Book of Abstracts
Feng Zhu
China Ship Scientific Research Center
Songlin Yang
Jiangsu Univ.of Scie. and Tech.
This article established the mathematical model of system identification
of composite trimaran pitching and heave motion model based on the
genetic optimization algorithm ,using VB language to write the recognition
software, Design and produce a composite trimaran test model ,doing the
free pitching and heaving decay test ,then completing the pitching and
heave motion system identification according to the test data ,and got
their motion equation which will be used to do the forecast ,the results of
forecast can well match with the test results , confirmed the feasibility of
this set of identification method. Also using the simulation software called
SIMULINK in MATLAB to simulate the vertical acceleration, getting the
ideal forecasting result.
SatBIS-43
Research on Measurement of Infrared Spectral Radiant Intensity of
Aero-engine Exhaust System
Yanmei Liu
Shenyang Aerospace Univ.
Li Fu
Shenyang Aerospace Univ.
Jianhui Xi
Shenyang Aerospace Univ.
Yan Ren
Shenyang Aerospace Univ.
This paper presents a testing method for infrared radiation characteristics
of the aircraft exhaust system. By using graphical programming language
of virtual instrument development testing platform, infrared radiation
characteristics of jet aircraft are studied. Infrared radiation can be
achieved, displayed and so on. The virtual panel and block diagram are
designed. The system designed mainly is composed of infrared
radiometer calibration, data collection procedures and showing
procedures. Simulation results show that the method is reliable and
practical.
SatBIS-44
New self-calibration schemes for accelerometers of platform
Chan Li
National Univ. of Defense Tech.
Yuan Cao
National Univ. of Defense Tech.
Zhijian Ding
National Univ. of Defense Tech.
Hong Cai
National Univ. of Defense Tech.
To guarantee success of precision navigation, it is necessary to carry out
in-field calibration for the accelerometers of platform inertial navigation
system (INS) before a mission is launched. Traditional continuous
self-calibration methods are not fit for accelerometers’ fast calibration
because the platform misalignments have to be estimated precisely and
the nonlinear coupling terms will affect accuracy. Focusing on this field,
the present paper proposes new fast self-calibration methods for the
accelerometers of platform INS. Continuous calibration schemes are
designed and optimized by the genetic algorithm (GA) to improve the
observability of parameters. Simulations are conducted to analyze the
performance and the sensitivity of the proposed methods. It is proved that
the proposed methods can estimate the accelerometer parameter more
precisely and more practical to deal with urgent situations than traditional
methods.
SatBIS-45
Identification of MIMO Hammerstein-Wiener System
Jing Bai
Northeastern Univ.
Beihua Univ.
Zhizhong Mao
Northeastern Univ.
Feng Yu
Northeastern Univ.
Yajun Wang
Northeastern Univ.
Liaoning Univ. of Tech.
A new approach to identification of multi-input multi-output (MIMO)
Hammerstein-Wiener system is presented. The output nonlinear block
consists of several single-input single-output (SISO) blocks, one of which
is dead zone and saturation nonlinearity. The hinging hyperplane (HH)
model expresses the character. The MIMO input nonlinear block is
described by multi layer feed forward neural networks. The transfer
function matrix indicates the MIMO linear dynamics block. According to
the prior structure knowledge, the identification problem is transformed to
constrained optimization using prediction error method (PEM). The
interior-point method (IPM) is adopted to solve the nonlinear
programming. Finally, the simulation examples illustrate the performance
and validate the effectiveness of the proposed algorithm.
SatBIS-46
MIMO System Identification with Extended MADALINE Neural
Network Trained by Levenberg-Marquardt Method
Wenle Zhang
Univ. of Arkansas at Little Rock
Presented in this paper is an extended version of the Multi- ADAptive
LINear Element (MADALINE) neural network, termed EMADALINE, for
On-line System identification of Multi-Input Multi-Output (MIMO) linear
time-varying (LTV) systems Trained by Levenberg-Marquardt Method. A
sliding window on the data set is used in the learning algorithm for the
purpose of improving convergence speed during training and thus better
tracking system parameters. Based on the input output polynomial
model, which can be easily transformed into the row canonical state
space model, Tapped delay lines are introduced, so the EMADALINE
becomes recurrent in nature and thus is suitable for parameter estimation
101
2014CCDC
of such systems. The EMADALINE can then be setup under the
assumption that the system structure is known in advance. The estimated
parameters are obtained as the weights of trained individual neurons of
the EMADALINE. The method is implemented in MATLAB and simulation
study was then performed on a few well known examples. Simulation
results show that the algorithms offer impressive results on convergence
speed improvement. This work is based on author’s previous work on
MIMO systems’ identification [18].
SatBIS-47
A Novel Approach for Modelling of an Injector Powered Transonic
Wind Tunnel
Wei Rui
High Speed Aerodynamics Institute, China Aero
dynamics Research and Development Center
JianHua Qin
High Speed Aerodynamics Institute, China Aero
dynamics Research and Development Center
YongYi Ma
High Speed Aerodynamics Institute, China Aero
dynamics Research and Development Center
A mathematical model of an injector powered transonic wind tunnel is
developed in this paper. The whole running process is divided into three
stages and the model of each child processes is established respectively.
The data applied to the parameter identification is obtained from the
actual running process. The NARMAX model is adopted as the structure
of model and the parameters including the order and sampling interval
are identified by means of the false nearest neighbor’s algorithm and the
mutual information algorithm accordingly. The non-linear mapping
between the inputs and the outputs is completed by the BP neural
network. The total pressure at stagnation and the static pressure at test
section are calculated via the model and the Mach number can be
obtained by the relationship between the pressure and Mach number.
The simulation result shows that the mathematical model established by
the above method has a better performance compared with modelling the
whole process.
SatBIS-48
Gradient-based iteration for a class of matrix equations
Huamin Zhang
Bengbu College,
In this paper, an iterative algorithm is established for solving a class of
matrix equations with complex unknowns. By using the hierarchical
identification principle, the gradient-based iterative algorithms are
constructed to solve the equation AXB+CX*D=F and the coupled
equations A1XB1+A2X*B2=F1 and C1XD1+C2X*D2=F2. The the
convergence factor is presented to guarantee that the iterative algorithms
are effective for any initial values. The analysis indicates that if the matrix
equation has a unique solution, then the iterative solutions converge to
the exact one for any initial value under proper conditions. A numerical
example is provided to illustrate the effectiveness of the proposed
algorithm.
SatBIS-49
Attitudes Decoupling Control and Disturbance Compensation of the
Hypersonic Vehicle
Zhiqiang Yan
Second Artillery Equipment Academe
Jianhua Mu
Second Artillery Equipment Academe
Jishuang Qu
Second Artillery Equipment Academe
Weiwei Xia
Second Artillery Equipment Academe
For the nonlinear coupling control problem induced by the maneuver
flying with high angle of attack of the hypersonic vehicle, the dynamic
inversion is used to realize the decoupling of the attack angle and bank
angle dynamics. For the model uncertainty, parameter perturbation and
outer disturbance, the estimation and compensation of the disturbance
moments is carried out by the extended state observer. The second order
dynamics is developed for the controller outer loop to achieve the
expected transitions with dynamic performance constraints. The
simulation shows the feasibility of the method, which can maintain the
command tracing quality of the attitude control system with deviation and
disturbance.
SatBIS-50
Research of Optimized Adaptive Kalman Filtering
Fuzhen Xu
Tongji Univ.
Yongqing Su
Tongji Univ.
Hao Liu
Tongji Univ.
Standard Kalman Filtering leads to divergence because of inaccurate
system model and noise statistic. Researchers have taken relative
studies about Kalman filtering optimization method. But now most studies
are based on applications, such as integrated navigation system, so most
of these methods are lack of general applicability. This paper starts from
innovation-based adaptive estimation (IAE) filtering and memory
attenuated (MA) filtering. These two optimized filtering methods have
respective advantages and disadvantages. We combined them to create
a new optimal filtering, namely, Optimized Adaptive Kalman Filtering
(OAKF). New method gained the attenuation factor values in real time by
innovation analysis to control the effect of filtering. Software simulation
shows the new optimized adaptive Kalman filtering’s good effect in
different conditions. After compared with the standard Kalman filtering,
IAE filtering and MA filtering, OAKF methods has better filtering effect
Book of Abstracts
than other methods.
2014CCDC
previous method.
Sunday, 1 June, 2014
SunA01
Process control (I)
Chair: Wen Tan
CO-Chair: Yan Liu
Room11A
10:20-12:20
North China Electric Power Univ.
Northeastern Univ.
10:20-10:40
SunA01-1
Levant differentiator based output-feedback control for slosh
suppression using super-twisting algorithm
Jyoti Prakash Mishra
College of Engineering
Shailaja R Kurode
College of Engineering
This paper presents slosh control within a container which represents an
underactuated system. The dynamics of the system is highly coupled and
non-linear. The major difficulty is in slosh state measurement. Hence an
output-exact Levant differentiator is designed for estimating the container
velocity. Control is synthesized using second order sliding modes(SOSM)
based on super-twisting algorithm and hence smooth. While formulating
the control lateral slosh model is considered with first mode only. Stability
of system is analyzed. Finally the proposed method is validated in
simulations.
10:40-11:00
SunA01-2
Complex Process Operating Optimality Assessment and
Nonoptimal Cause Identification Using Modified Total Kernel PLS
Yan Liu
Northeastern Univ.
Yuqing Chang
Northeastern Univ.
State Key Laboratory of Synthetical Automation
for Process Industries
Fuli Wang
Northeastern Univ.
State Key Laboratory of Synthetical Automation
for Process Industries
Ruicheng Ma
Liaoning Univ.
Honglin Zhang
Northeastern Univ.
Due to process disturbances and some uncertainties, the process
operating performance will deviate from the optimal operating point along
with time, so it is very important to develop strategies for online operating
performance assessment on optimality. However, a little work has been
published in this research area to our knowledge. In this study, a new
online operating optimality assessment method for complex industrial
process is proposed. Firstly, a new version of T-KPLS algorithm
combined with the modified KPLS is developed and used to establish the
assessment models for each of the performance grades. By calculating
the similarities between the online data and each performance grade, one
can obtain the assessment result online, and the assessment results not
only include the certain performance grade but also the performance
grade conversion. For nonoptimal operating performance, a method of
nonoptimal cause identification based on variable contribution is
developed. Finally, the proposed online assessment method is applied in
a gold hydrometallurgical process, which indicates the efficiency of the
proposed approach.
11:00-11:20
SunA01-3
Adaptive EWMA Controller based on Dynamic Modeling in
Semiconductor Manufacturing
Cuicui Ge
Soochow Univ.
Liang Chen
Soochow Univ.
Feilong Wang
Soochow Univ.
In semiconductor manufacturing, it is important to produce multiple
products on the same equipment to enhance the overall equipment
effectiveness so as to improve the productivity. However, the “high-mix”
production is difficult to control due to the time-varying model. To address
this problem, an adaptive exponentially weighted moving average
(EWMA) control method of which the core content is online dynamic
modeling is put forward. During dynamic modeling process, the noise
disturbance can be predicted through EWMA controller; meanwhile, the
process gain can be estimated by using the predicted noise disturbance.
Case studies of the chemical mechanical polishing (CMP) unit operation
show the efficacy and the attractiveness of the strategy.
11:20-11:40
SunA01-4
Multivariable Decoupling Control for a Benchmark Boiler
Damiran Ulemj
North China Electric Power Univ.
Caifen Fu
North China Electric Power Univ.
Wen Tan
North China Electric Power Univ.
The boiling process is a multivariable nonlinear system with strong
interactions and input constraints. In this paper, a multivariable PID
control with feed-forward compensation is designed for a benchmark
boiler control problem, where the boiler model is proposed in an IFAC
Conference and can be used as a benchmark for various control
methods. The proposed PID controller is obtained as a result of
approximating an ideal decoupler including the integral action. Due to the
input constraints, a conditioning anti-windup strategy has been
incorporated in the controller implementation. Experiment simulations
show that the proposed design achieves better performance than the
102
11:40-12:00
SunA01-5
Multivariable PID Controller Design for a Benchmark Boiler
Damiran Ulemj
North China Electric Power Univ.
Caifen Fu
North China Electric Power Univ.
Wen Tan
North China Electric Power Univ.
A drum boiler is a multivariable nonlinear system with strong interactions
and input constraints. In this paper, a robust control method with
feed-forward compensation is applied to design a multivariable PID
controller for a benchmark boiler control problem, where the boiler model
is proposed in an IFAC Conference and can be used as a benchmark for
various control methods. H∞ loop-shaping approach is used to design
an optimal controller, and a multivariable PID controller is obtained as a
result of approximating the high-order controller. Due to the input
constraints, a conditioning anti-windup strategy has been incorporated in
the controller implementation. Experiment simulations show that the
proposed design achieves better performance indexes than the reference
controls.
12:00-12:20
SunA01-6
Design and Implementation of A Microwave Heating System Based
on Dual-Closed Loop Control Strategy
Yupeng Yuan
Chongqing Univ.
Shan Liang
Chongqing Univ.
Qingyu Xiong
Chongqing Univ.
Jiaqi Zhong
Chongqing Univ.
Zhihui Wang
Chongqing Univ.
Microwave energy has been widely applied to vast industrial applications
as a novel, clean and efficient energy source. This paper illustrates the
design and implementation of a microwave heating system, and a
dual-closed loop control strategy is presented to regulate the microwave
power. Further, several experimentations were carried out, experiment
results show that the output microwave power is reasonable accurate to
the expectation, and the sample temperature is controlled effectively.
SunA02
Robust control (II)
Chair: Junli Wu
CO-Chair: Fangfang Hu
Room6A
10:20-12:20
Huaqiao Univ.
Harbin Institute of Tech.
10:20-10:40
SunA02-1
Model Predictive Control for Drum Water Level of Boiler Systems
Junli Wu
Huaqiao Univ.
Jiamusi Univ.
Kaiyong Jiang
Huaqiao Univ.
Hamid Reza Karimi
University of Agder
Xiaojie Su
Harbin Institute of Tech.
In this paper, the problem of model predictive control for drum water level
of boiler systems is investigated. The parameter uncertainties are
time-varying norm-bounded and the non-linearity is assumed to satisfy
the boundedness condition. The aim is to design a state-feedback
controller which minimizes an upper bound on a quadratic objective
function at each sampling instant. The hard constraint on the variance of
the input is also considered. By linear matrix inequality (LMI) approach,
sufficient conditions are obtained, which guarantee the robustly
asymptotic stability of the closed-loop feedback system. An example of a
boiler drum system is included to demonstrate the effectiveness of the
proposed techniques.
10:40-11:00
SunA02-2
Robust Fault-tolerant Attitude Control of Three-axis Stabilized
Satellite
Xueqin Chen
Harbin Institute of Tech.
Fangfang Hu
Harbin Institute of Tech.
Yahui Sun
Harbin Institute of Tech.
Rui Sun
Harbin Institute of Tech.
The three-axis stabilized satellite’s attitude control under repairable fault
conditions is researched in this paper. With the consideration of rotational
inertia uncertainty, a control effectiveness factor is used to describe the
fault magnitude of satellite actuators. Moreover, the uncertainty of fault
diagnosis results is also considered in the design of controller. And a
feedforward control unit is introduced to decrease the influence of fault
diagnosis uncertainty, Therefore the attitude controller’s absolute
dependence on fault diagnosis results is avoided ultimately. The H∞ and
H2 norms are used to signify the performance indexes of attitude
information and output torques. The robust fault-tolerant attitude control
is achieved by combining the state feedback with a pole assignment
method. Finally, the simulation results reveal that this controller can
stabilize a three-axis stabilized satellite quickly with a high precision of
stabilization and pointing.
11:00-11:20
SunA02-3
Decentralized Fuzzy Guaranteed Cost Tracking Control with Poles
Assignment for Bank-to-Turn Missile
Kun Shi
Northwestern Polytechnical Univ.
Xiaogeng Liang
Northwestern Polytechnical Univ.
Book of Abstracts
This paper deals with the decentralized fuzzy guaranteed cost tracking
control design problem with poles assignment for the bank-to-turn (BTT)
missile. Initially, the Takagi-Sugeno (T-S) fuzzy model is employed to
represent the nonlinear dynamics of the BTT missile. Then, based on the
decentralized T-S fuzzy model, a decentralized fuzzy controller is
developed to not only stabilize the closed-loop augmented system, but
also to achieve an upper bound of the cost function, while the poles
assignment is also considered. The established criterion exhibits a kind of
decoupling between the Lyapunov positive-definite matrices and the BTT
missile system matrices containing the controller variables in the design
process. Furthermore, a convex optimization problem is formulated for
designing an admissible controller, which minimizes the upper bound of
the cost function with the simultaneous consideration of poles
assignment for the resulting augmented interconnected system. Finally,
the simulation results on the BTT missile demonstrate the effectiveness
of the proposed controller design method.
11:20-11:40
SunA02-4
Delay-Interval-Dependent Robust Stabilization for Uncertain
Stochastic System with Multiple Time-Delays
Huihui Zhang
Liaocheng Univ.
Jianwei Xia
Liaocheng Univ.
In this academic brief, robust stochastic stability and stabilization for a
category of uncertain stochastic systems with multiple time-delays as
importantly
issues
are
investigated.
Via
constructed
multiple-interval-dependent Lyapunov-Krasovskii functional, more
information between the delays have been considered, some novel
criteria for the solvability of above issues are derived defined as LMIs. At
last, testifying the effectiveness and improvement of our suggested
method by way of illustration.
11:40-12:00
SunA02-5
Integral sliding mode output control of delta operator systems with
insensitivity to sampling time jitter
Liying Hao
Dalian Ocean Univ.
Hui Li
Dalian Maritime Univ.
Xianggui Guo
Tianjin University of Tech.
Jinyan Song
Dalian Ocean Univ.
Hongshuai Pang
Dalian Ocean Univ.
This paper focuses on integral sliding mode output control for linear delta
operator systems with insensitivity to sampling time jitter in the case of
small sampling times along with unmatched disturbances. A delta-domain
integral sliding mode sector can be reached without chattering by
employing a novel reaching law to avoid the inherent numerical
ill-condition resulting from using the traditional shift-domain model at high
sampling rates. Parameter sensitivity function of the transfer function with
respect to sampling time jitter is also defined to mitigate the effect of
sampling time jitter which may cause significant degradation of the overall
system performance. By combining the novel bounded real lemma for
delta operator using integral sliding mode adaptive control approach, a
method of designing output feedback controller with insensitive to sample
time jitter based on linear matrix inequality (LMI) is proposed, where the
corresponding reaching law proposed is able to reduce the chattering.
Finally, a numerical example is presented to show the effectiveness of
the proposed method.
12:00-12:20
SunA02-6
Integral sliding mode fault-tolerant control against actuator
nonsymmetric deadzone and unmatched disturbances
Liying Hao
Dalian Ocean Univ.
Hui Li
Dalian Maritime Univ.
Xianggui Guo
Tianjin University of Tech.
Jinyan Song
Dalian Ocean Univ.
Hongshuai Pang
Dalian Ocean Univ.
This paper focuses on an integral sliding mode control (ISMC) algorithm
for the fault-tolerant control of linear continuous multi-input systems with
non-smooth nonsymmetric actuator dead-zone failure and unmatched
disturbances. The dead-zone is first modeled as a combination of a line
and a disturbance-like term. And the novelty of the paper lies in that the
treatment of the deadzone failure based on the simplified dead-zone
model. The bounded disturbancelike term which enters the state equation
at the same point as the control input can be rejected completely by
ISMC technology, and the linear part of the deadzone will be
compensated by state feedback controller based on linear matrix
inequality (LMI). It is worth pointing out that once the system is in the
sliding mode, the proposed integral sliding mode control law ensures that
the dead zone is compensated completely and sustains the better nature
of performing unmatched perturbations attenuation than utilizing H∞
control analytical technique alone. Finally, the feasibility of our proposed
algorithm is illustrated by using a numerical example.
SunA03
Optimal control and optimization (III)
Chair: Junwei Li
CO-Chair: Zhe Gao
10:20-10:40
Fractional-order Particle Swarm Optimization
Room7A
10:20-12:20
Henan Univ.
Liaoning Univ.
SunA03-1
103
2014CCDC
Zhe Gao
Liaoning Univ.
Junxiu Wei
Liaoning Univ.
Chao Liang
Liaoning Univ.
Ming Yan
Liaoning Univ.
By introducing the fractional-order difference into the updating formulas
of the velocity and position, fractional-order particle swarm optimization
algorithm is proposed. The effects on the convergence rate and accuracy
are analyzed, by introducing fractional-orders in the updating formulas for
the velocity and position. Moreover, the linear increasing methods to
adjust the fractional-orders are proposed. Compared with the standard
particle swarm optimization algorithm, the higher convergence rate is
achieving to improve the accuracy of the optimal result. Finally, five
standard functions are tested, and the results of the numerical
experiments illustrate the effectiveness of the fractional-order particle
swarm optimization.
10:40-11:00
SunA03-2
Transportation and Effect on Economic Growth Based on Optimal
Control Theory
Yushun Tan
Southeast Univ.
Nanjing Univ. of Finance and Economics
Senfa Chen
Southeast Univ.
Yuanyuan Zhang
Nanjing Univ. of Finance and Economics
Jinliang Liu
Nanjing Univ. of Finance and Economics
In order to study the relationship between transportation and economic
growth from the macro, in this paper the concepts of impact factor and
conversion efficiency of transportation level are introduced. Based on the
analysis of New-Classical Growth Theory, an economic growth model
with transportation factors is set up. Through analysis of the model the
action mechanism and influence path of transportation on regional
economic growth is revealed. And the results indicate that the positive
equilibrium economic growth rate exists when impact factor
transportation level satisfies certain condition. And economic growth is
inversely related to impact factor of transportation level. This model has
some practical values for transportation planning and the coordinated
development of regional economic and transportation.
11:00-11:20
SunA03-3
Aerodynamic Optimization Utilizing Control Theory
Xiaoliang Zhang
Northwestern Polytechnical Univ.
Junqiang Bai
Northwestern Polytechnical Univ.
This paper presents the method of aerodynamic optimization utilizing
control theory, which is also called the adjoint method. The discrete
adjoint equations are obtained from an unstructured cell-vortex
finite-volume Navier-Stokes solver. The developed adjoint equations
solver is verified by comparison of objective sensitivities with finite
differences. An aerodynamic optimization system is developed combining
the flow solver, adjoint solver, mesh deformation and a gradient-based
optimizer. The surface geometry is parameterized using Free Form
Deformation (FFD) method and a linear elasticity method is employed for
the volume mesh deformation during optimization process. This
optimization system is successfully applied to a design case of ONERA
M6 transonic wing design.
11:20-11:40
SunA03-4
Tracking Guidance Strategy for Low-thrust Transfer Trajectory
Based on NMPC Theory
Haibin Shang
Beijing Institute of Tech.
Shuai Wang
Beijing Institute of Tech.
Ting Jin
Beijing Institute of Tech.
Xiangyu Huang
Scie. and Tech. on Space Intelligent Control
Laboratory
A tracking guidance scheme based on nonlinear model predictive control
is proposed for low-thrust transfer trajectory. According to the optimal
nominal transfer trajectory, the NMPC is used to design the predictive
model of perturbed orbit. Performance index of receding optimization is
established, which can indicate the difference between the nominal
trajectory and prediction trajectory. Taking the orbit state of nominal
transfer trajectory as the initial value, the optimal control sequence is
solved by the sequential quadratic programming algorithm. Meanwhile, in
order to eliminate the predictive model error, the accuracy of the next
control sequence is improved by the introduction of feedback
compensation. Taking earth-mars low-thrust transfer as an example,
numerical simulation is used to verify the efficiency of the proposed
method.
11:40-12:00
SunA03-5
New Structure of Kalman Filter base on Adaptive Genetic Algorithm
for Radar Networking
Mingming Yan
Shenyang Artillery Academy
Wei Pan
Shenyang Artillery Academy
Due to the different data rates of the sensors and communication delays
in the radar netting, the research of the asynchronous multisensor data
fusion problem is more practical than that of the synchronous one.
Through discussing the sequential approach, which is the classical
asynchronous multisensor data fusion algorithm, a new algorithm based
on distributed computation structure is proposed. The adaptive crossover
Book of Abstracts
probability and adaptive mutation probability are proposed, which
consider the influence of every generation to algorithm and the effect of
different individual fitness in every generation. Simulation results show
the validity of the presented algorithm.
12:00-12:20
SunA03-6
Chaotic Particle Swarm Optimization Algorithm Based on Adaptive
Inertia Weight
Junwei Li
Henan Univ.
Yongmei Cheng
Northwestern Polytechnical Univ.
Kezhe Chen
Northwestern Polytechnical Univ.
In order to overcome the disadvantages of premature and local
convergence in the traditional particle swarm optimization (PSO), an
improved chaotic PSO algorithm based on adaptive inertia weight
(AIWCPSO) is proposed. The initial population is generated by using
chaotic mapping appropriately, in order to improve both the diversity of
population and the periodicity of particles. The value of the new inertia
weight is adjusted adaptively by feedback parameters, which including
iterative number, aggregation degree factor and the improved evolution
speed parameter. We judge premature convergence by the relationship
between the variance of the population’s fitness and the set threshold, if it
occurs, we add chaotic disturbance to make it jump out of the local
optima. Experimental results on four well-known benchmark functions
show that: the AIWCPSO algorithm improves the convergence accuracy
and has the ability of suppressing premature convergence.
SunA04
Intelligent systems (I)
Chair: Feng Liu
CO-Chair: Zhongliang Zhang
Room7B
10:20-12:20
Tsinghua Univ.
Northeastern Univ.
10:20-10:40
SunA04-1
Online and Model-Free Supplementary Learning Control Based on
Approximate Dynamic Programming
Wentao Guo
Tsinghua Univ.
Feng Liu
Tsinghua Univ.
Jennie Si
Arizona State Univ.
Shengwei Mei
Tsinghua Univ.
An approximate dynamic programming (ADP) based supplementary
learning control method is developed to online improve the performance
of existing controllers. The proposed supplementary learning structure
can make full use of the prior knowledge of the pre-designed controller
and endow the controller with learning ability. Moreover, by introducing
the action dependent value function for policy evaluation, the
supplementary learning control can work in a model-free manner. The
policy iteration algorithm is employed to train the actor-critic structure of
the ADP supplementary controller. Simulation studies are carried out on
the cart-pole system to validate the optimization and the adaptation
capability of the proposed methodology.
10:40-11:00
SunA04-2
The Application of Adaptive Genetic Algorithms in Single-Resistant
Radar Jamming
Wei Pan
Shenyang Artillery Academy
Sili Liu
Shenyang Artillery Academy
Hongzhi Dong
Shenyang Artillery Academy
This article uses the novelty and applicability of adaptive genetic
algorithms for the development of advanced digital radio frequency
memory jammer technology uses radar CFAR detection algorithm. As a
major result, demonstrates how adaptive genetic algorithms can produce
effective single-resistant interference. This is an important attribute when
interference uncertain radar detection algorithms operate in real-world
scenarios. Efficiency of energy efficiency of adaptive genetic algorithms
jamming technology through more traditional noise technology.
11:00-11:20
SunA04-3
The Application of Data Mining in Cigarette Sensory Quality
Evaluation: an Experimental Study
Zhongliang Zhang
Northeastern Univ.
Jianguo Tang
Tech. Center of Hongta Tobacco Group Co., Ltd.
Xinggang Luo
Northeastern Univ.
Jiafu Tang
Northeastern Univ.
Zhaoyu Meng
Tech. Center of Hongta Tobacco Group Co., Ltd.
Danna Qiao
Tech. Center of Hongta Tobacco Group Co., Ltd.
To study the effectiveness of classification algorithms in cigarette sensory
quality evaluation, chemical components such as total sugar, protein,
potassium, etc. are taken as condition attributes, and ID3, C4.5, rough
set, BP neural network, support vector machine, and k-nearest-neighbor
are adopted to predict cigarette sensory quality index, such as luster,
aroma, harmony, offensive odor, irritation and aftertaste. The
experimental results show that harmony reaches the best classification
accuracy with about 95%, and the effectiveness of luster and offensive
odor are slightly below the harmony with 85%-90% by SVM and KNN,
while aroma has the worst result. In addition, offensive odor and
aftertaste are fairly accurate with about 70%. As a whole, SVM and KNN
have the better performance in the prediction of cigarette sensory quality
than the other classification algorithms.
104
2014CCDC
11:20-11:40
SunA04-4
Non-integer Norm Regularized Logistic Regression
Jianwei Liu
Research Inst. of Auto. China Univ. of Petroleum
Zhengkang Sun
Research Inst. of Auto. China Univ. of Petroleum
Xionglin Luo
Research Inst. of Auto. China Univ. of Petroleum
In the task of learning from gene expression profiling using microarray
techniques, microarray gene expression data is usually highly
contaminated by various noises and contain the overwhelming number of
genes relative to the number of available samples. Hence, finding
efficient and discriminative genes is crucial to cancer classification.
However, the problem is NP-complete and brings out a great challenge
for machine learning and statistic techniques. In this paper, a class of
sparse q-norm regularization terms ( 0 < q ≤ 2 ) are considered for the
developing sparse classifiers for determining discriminative genes, and
classification algorithm of conjugate gradient q-norm regularization
Logistic regression is proposed. This approach was tried on synthetic
datasets and bladder, lymphoma and colon benchmark data sets. It
obtained encouraging results on those data sets as compared with
L1-norm and L2-norm Logistic regression.
11:40-12:00
SunA04-5
Multi-objective
Comprehensive
Learning
Particle
Swarm
Optimization based on Summation of Normalized Objectives and
Diversified Selection
Bo Zheng
Zhengzhou Univ.
B. Y. Qu
Zhongyuan Univ. of Tech.;
Zhengzhou Univ.
J.J.Liang
Zhengzhou Univ.
Hui Song
Zhengzhou Univ.
In this paper, a fast-sorting method called summation of normalized
objectives and diversified selection (SNOV-DS) is embedded in
Comprehensive Learning Particle Swarm Optimization (CLPSO) to solve
multi-objective problems. Due to this method, the simulation time will be
decreased. The convergence to true Pareto front and the spread of
solutions can also be improved. The algorithm is tested on a set of
commonly used multi-objective benchmark functions. The simulation
results show that the proposed algorithm is competitive in terms of both
performance and running speed.
12:00-12:20
SunA04-6
Research on Water Level Measurement Based on Image
Recognition for Industrial Boiler
Sun Bin
Kunming Univ. of Scie. and Tech.
Changsheng Zhang
Kunming Univ. of Scie. and Tech.
Lun Li
Kunming Univ. of Scie. and Tech.
Jianping Wang
Kunming Univ. of Scie. and Tech.
Bicolor water level gauge is the important equipment for industrial boiler.
Machine recognition of water level image makes the traditional video
monitoring system more intelligent. In this paper, the recognition
algorithms such as improved BP neural network and feature matching are
studied and compared. Experiments show that the recognition rate of
latter approach is up to 100% with high identifying speed. Furthermore, a
digital video level measurement system is designed based on CCD and
FPGA.
SunA05
Room8A
Decision-making theory and method (III)
10:20-12:20
Chair: Quande Qin
Shenzhen Univ.
CO-Chair: Jianlong Zhang Shanxi Prov. water conservancy constru
ction and development centers
10:20-10:40
SunA05-1
A Fuzzy Two-stage Project Portfolio Selection Model Addressing
Financial and Non-financial Factors
Quande Qin
Shenzhen Univ.
Jinpeng Li
Shenzhen Univ.
Li Li
Shenzhen Univ.
Trade-off between financial and non-financial factors is crucial for project
portfolio selection. In this paper, a two-stage project portfolio selection
model, which addresses these two factors, is proposed. In the proposed
two-stage model, the return and cost of projects are characterized by
triangular fuzzy number. In the first stage, a score model, focusing on the
non-financial aspects, uses the Go-Kill threshold value to determine
whether a project can be further appraised in the next stage. In the
second stage, a fuzzy programming model, addressing the financial
aspects, is used to select the optimal combinations from the go-projects
of the first stage. Finally, a numerical example is given to demonstrate the
effectiveness and applicability of the proposed model.
10:40-11:00
SunA05-2
Water Supply Route Optimization for Reservoir Emergency Based
on Improved Ant Colony Algorithm
Xiangrun Du
Xi'an Univ. of Tech.
Shanxi Prov. water conservancy construction and
development centers
Jianlong Zhang Shanxi Prov. water conservancy construction and
development centers
Book of Abstracts
Minquan Feng
Xi'an Univ. of Tech.
In order to improve water supply in the path optimization problems, an
improved Ant Colony based on the mathematical model of water supply is
put forward to figure out optimization algorithm. Using the improved ant
colony algorithm research water supply pipe network optimization
problems. The inspire information was normalized process and the global
strategy preferred node probability select based on the the introduced
virtual path distance to the initial node in telection strategy. In the tpdate
strategy, used local and global pheromone update and combined
adaptive adjustment of the ants number and increased random
interference improvement. The results show that the improved ant colony
algorithm calculated better than basic ant colony algorithm from the each
indicators. It can be seen the improved algorithm can improve the global
search ability and convergence speed, can be quickly and effectively to
solve the optimal solution path or near optimal solution of water supply. It
can provide reference for the choice of the path of water supply.
2014CCDC
dynamic radar cross-section (RCS) is proposed for unmanned aerial
vehicles (UAV) in unexpected threat environment. Its own UAV attitude
angle change will affect the dynamic variation of RCS. Radar detection
probability model was presented to involve the distance between radar
and UAV and circumferential dynamic RCS, rather than the constant RCS
which is not consistent with the actual circumstance. The environment
model is established based on the properties of radar. And the driven
mechanism of velocity vector field is constructed in order to realize the
route planning for UAV. The simulation results show that the method
based on velocity vector field is feasible and effective to avoid the
detection of radar in UAV real-time path planning.
11:00-11:20
SunA05-3
Survivability Evaluation of Network Combat System Based on Gray
Theory
Kaiyun Wang
Institute of Computer Application, China Academy of
Engineering Physics,
He Huang
Southwest Univ. of Scie. and Tech.
Peng Jia
Institute of Computer Application, China Academy of
Engineering Physics,
Ying Luo
Southwest Univ. of Scie. and Tech.
Hong Jang
Southwest Univ. of Scie. and Tech.
Survivability is an important guarantee of the combat system under
network combat environment. To appraise a system properly, it’s
necessary to establish a valid method for evaluating the survivability.
According to the characteristics of network war system, this paper studies
the primary factors which have important influence on the survivability of
such a system, and then abstracts these metrics to three layers, including
the goal layer, the intermediate layer and the index layer. Furthermore,
with the AHP (Analytic Hierarchy Process) and gray theory, this paper
proposes a way to evaluate this kind of system’s survivability. As a result,
some suggestions are given out to improve the system performance. In
the end, we verify the validity of the method through an example.
10:20-10:40
SunA06-1
Modeling of Hemispherical Resonator Gyro Resonator Deformation
under Acceleration
Guoxing Yi
Harbin Institute of Tech.
Yangguang Xie
Aviation Industry Corporation of China
Changhong Wang
Harbin Institute of Tech.
Ziyang Qi
Harbin Institute of Tech.
Zhen Fang
China Electric Tech. Group Corporation
This paper solves the deformation modeling problem of hemispherical
resonance gyroscope(HRG)under the acceleration in low frequency.
Firstly, the deformation problem is ascribed to the deformation
ofresonator shell structure, which can be modeled by dynamical
equations in theory of thin shell. By solving thedynamic equations, obtain
the analytic solution of resonator deformation under acceleration.
Secondly, the papermakes a contrast of FEA simulation result and the
proposed model. The result shows that the fitting error issmaller than
2.7%, which is verified its usability.
11:20-11:40
SunA05-4
Robust Operation Optimization in Cold Rolling Production Process
Yue Hong
Northeastern Univ.
Xianpeng Wang
Northeastern Univ.
In the cold rolling production process in iron and steel industry, the
operation optimization problem (OOP) is to determine the optimal setting
for the control variables so as to maximize the product quality or minimize
the total operation cost. Traditional OOP generally assumes that the
production process is stable, however, the practical production process is
dynamic and the dimensions of input coils such as crown and thickness
often change during production. To tackle the dynamic change of
dimensions of a coil and obtain a satisfactory setting for control variables
that can guarantee a good product quality, this paper investigate the
robust operation optimization problem (ROOP) in cold rolling production
process. A mathematical model is constructed for the ROOP so as to
minimize the total power of rollers and an improved particle swarm
optimization (PSO) algorithm is developed. Computational results based
on practical production data show that the proposed ROOP model and
the PSO algorithm are very effective and they can help to reduce the
energy consumption and at the same time obtain a better power
allocation on rollers.
11:40-12:00
SunA05-5
An approach to deriving interval weights from interval fuzzy
preference relations based on multiplicative transitivity
Hao Wang
China Agricultural Univ
Zhoujing Wang
Zhejiang Univ.of Finance and Economics
The derivation of priority weights plays an important role in multi criteria
decision making (MCDM) with preference relations. In this paper, interval
fuzzy numbers are used to capture vagueness and uncertainty in
imprecise judgment data by means of interval fuzzy preference relations.
The criterion weights or priority weights of decision alternatives are
characterized by normalized interval weights. Based on multiplicative
transitivity, a geometric least squares model is developed to derive
interval weights from interval fuzzy preference relations. A
geometric-least-squares-based approach is then put forward for solving
MCDM problems with a hierarchical structure. An online shopping
customer satisfaction evaluation problem is furnished to show the
effectiveness and applicability of the proposed method.
12:00-12:20
SunA05-6
UAV Real-time Path Planning Using Dynamic RCS based on Velocity
Vector Field
Guanglei Meng
Shenyang Aerospace Univ.
Jinlong Guo
Shenyang Aerospace Univ.
Fengqin Sun
Shijiazhuang Aircraft Industry Co., Ltd.
Feng Tian
Shenyang Aerospace Univ.
A real-time planning method based on velocity vector field combined with
105
SunA06
Room8B
Fault diagnosis and fault-tolerant control (III)
10:20-12:20
Chair: Ziyang Qi
Harbin Institute of Tech.
CO-Chair: Jun Guo
Beijing Univ. of Tech.
10:40-11:00
SunA06-2
Study on Automatic Diagnostic of Elevator Brake Coil Wearing
Jun Guo
Beijing Univ. of Tech.
Jinwei Fan
Beijing Univ. of Tech.
The wearing state of the elevator brake coil influences the normal work of
the elevator, thus is vital for thesafety maintenance of the elevator. This
paper introduced an automatic diagnostic method of the coil wearing
statethrough measuring the acceleration curve of the running coil. By
applying the algorithm in the real-time inspectingsystem, the hidden
danger of the brake system can be discovered in time and thus avoid the
according accidents.
11:00-11:20
SunA06-3
The Fault Diagnosis Research for the Underwater Vehicle System
Based on SOFCMAC
Ting Zhu
Shanghai Maritime Univ.
Daqi Zhu
Shanghai Maritime Univ.
For the fault diagnosis problems of the underwater vehicle sensor
systems, the solution is combined by the Principal Component Analysis
(PCA) and Self-Organizing Fuzzy erebellar Model Articulation Controller
(SOFCMAC). The signal prediction model approach based on PCA and
SOFCMAC is proposed in this paper. According to the history data, it can
predict the signal data in the future time using the SOFCMAC method.
And the statistic, Squared Prediction Error (SPE), is introduced into the
approach. According to the change of the SPE value, this model can
judge whether the underwater system fault occurs. Then the linear
variable reconstruction method is used to isolate the fault. The water tank
experimental results show that the proposed approach is capable of
detecting and isolating the fault in the vehicle sensor systems efficiently
and accurately.
11:20-11:40
SunA06-4
Fault detection using unknown input observers for heavy-haul
trains
Zhiheng Yu
Central South Univ.
And Hunan Engineering Laboratory for Advanced
Control and Intelligent Automation Changsha
Jun Peng
Central South Univ.
And Hunan Engineering Laboratory for Advanced
Control and Intelligent Automation Changsha
Weirong Liu
Central South Univ.
And Hunan Engineering Laboratory for Advanced
Control and Intelligent Automation Changsha
Yufu Qin
Central South Univ.
And Hunan Engineering Laboratory for Advanced
Control and Intelligent Automation Changsha
Jiandui Yi
Central South Univ.
And Hunan Engineering Laboratory for Advanced
Control and Intelligent Automation Changsha
In this paper, we consider the problems of fault detection for heavy-haul
trains equipped with electronically controlled pneumatic (ECP) brake
systems. A longitudinal dynamical model which has been successfully
validated is used to simulate the actual situation. Based on the model, a
Book of Abstracts
set of unknown input observers which are adopted to estimate
locomotives' state is constructed, and observers can determine the
existence and place of the faulty locomotive. Since heavy-haul trains are
much longer than general passenger trains, the longitudinal dynamical
model is decomposed into smaller subsystems which can be detected
locally. To estimate the fault parameter after a failure occurred, a minimal
extremum seeking algorithm was presented for adaptive approximation.
Simulation results provide evidence of the effectiveness of the proposed
fault detection scheme.
11:40-12:00
SunA06-5
Steel surface defect detection and localization based on SVD and
two-side compressive measurements
Jingli Gao
Zhejiang Univ.
Chenglin Wen
Henan Univ. of Tech.
Meiqin Liu
Zhejiang Univ.
This paper proposes a method for defect detection and localization based
on singular value decomposition and two-side compressive
measurements. First, the feasibility of the singular value decomposition
for defect detection and localization is analyzed, then the invariance of
the geometrical structure of the rows or columns of the raw data and the
compressive data is justified, so the energy and pattern contained in the
raw data can be transferred into the compressive data and kept in the
singular values and singular vectors. On this basis, the proposed defect
detection algorithm based on the singular values of compressive data
and the proposed defect localization algorithm based on the singular
vectors are given without reconstruction of images. Simulation results
show that the proposed method based on compressive measurements
has a good performance.
12:00-12:20
SunA06-6
Researches on Brittle Seam Mining based Enterprise Situation
Assessment and Prediction Mechanism in Hi-tech Enterprise
Cooperation-Competition Network
Zhuo Yi
Information Engineering Univ.
Shijun Yao
Information Engineering Univ.
The assessment of high-tech enterprise is of great importance to the
government, because a region or even a country's economic
development depends largely on the development of high-tech
Enterprises in this region or country. According to the problem of Situation
Assessment and Prediction of high-tech enterprises in the enterprise
cooperation-competition network, the concepts of Brittle Point and Brittle
seam are introduced, and a Situation Assessment and Prediction
Mechanism based on the Brittle Seam Mining Algorithm is proposed. In
the Brittle Seam Mining Algorithm, competition assessment indexes
system of high-tech enterprises are introduced to mining different
enterprises relations, and the Biological Invasions Model such as the
population diffusion reaction model and the population reproduction
model are adopted to predict and detect the Brittle Point and Brittle seam.
Meanwhile, the GIS technology is used in the visualization of Brittle
seam. The simulation results verify the applicability of this method.
SunA07
Social economy systems
Chair: Xin Tong
CO-Chair: Kongguo Zhu
Room9A
10:20-12:20
Northeastern Univ.
Library of Shandong Youth Univ. of
Political Scie.
10:20-10:40
SunA07-1
Correlation Analysis of Carbon Emissions and Influencing Factors
in China
Xin Tong
Northeastern Univ.
Kai Chen
Northeastern Univ.
The correlation degrees among carbon emissions and influencing factors
help to make correct judgment and insightful short and long term policies
for the low-carbon economy. According to the carbon emissions data
provided by American Oak Ridge National Laboratory Carbon Dioxide
Information Analysis Center (CDIAC), from which we selected the data of
world’s top 11carbon emitting countries, a comparative carbon emissions
analysis is made and the analysis reflects several trends in global
emissions and one of the significant is that China overtakes United States
as the world’s largest carbon emitter. This article, referring to the CDIAC’s
estimate China carbon emissions data from 2000 to 2011, analyses the
correlations among China’s carbon emissions and several influencing
factors, such as, technology progress, population, economic growth,
industrial structure, energy prices and the urbanization by using relation
gray system theory gray correlation analysis. The analysis reflects that
economic growth is the main influencing factor for carbon emissions,
technology progress and urbanization take the second and third position
separately, and energy prices turns out to be the last influencing factor for
carbon emissions. Finally, we propose the carbon reduction strategies,
proposals and recommendations for the low-carbon economy, expecting
countermeasures to be taken to reasonably control the carbon emissions.
10:40-11:00
SunA07-2
Simulating Approach Based Optimal Manpower planning in an
Employee Leasing Center and the Approximate Algorithm
Xiufu Zhang
Tianjin Univ. of Tech.
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2014CCDC
Gang Hao
Tianjin Univ. of Tech.
Zhijing Gou
Tianjin Univ. of Tech.
Bin Sun
Tianjin Univ. of Tech.
Junqing Sun
Tianjin Univ. of Tech.
This paper studies the issue of manpower planning in an employee
leasing center and optimizing the size of the contract employees. The
center considered in this paper not only leases the contract employees to
the firms but also acts as an agent for temporary employees outside the
center in the manpower market. Between the two types of employees,
one type with mixed skills can be substituted for the other type to work.
The demand for the employees from the firms needing workforce and the
supply of temporary employees outside the center are both stochastic.
Firstly, based on the rule of maximizing the overall profit of the center and
under substituting strategies, we present a discrete stochastic
optimization model to maximize the sizes of two types of employees.
Then we prove the existence and necessary conditions of the optimal
solution by using the marginal analysis method and we also develop an
optimal algorithm to calculate the optimal solution. Because of the high
time complexity of the optimal algorithm, we develop an efficient
approximate algorithm based on computer simulation approach. The
simulating experiments show that the approximate algorithm greatly
reduces computing time, and the approximate optimal solutions found by
the approximate algorithm has strong approximate effectiveness and
robustness.
11:00-11:20
SunA07-3
Analysis of the Factors Affecting the Credit Risk of China's Listed
Companies
Dong Wei
Shandong Committee Party School of C.P.C.
Yuyan Wang
Shandong Univ. of Finance and Economics
Zhixin Zhang
Shandong Univ. of Finance and Economics
This paper applied the factor analysis method to dynamically evaluate the
credit risk of listed companies in China. Sixteen measurable indicators
which can reflect the public credits of listed companies are selected and 4
main indicators are extracted by applying the factor analysis method. On
the basis of it, 16 sub-indicators are further given to explain the affecting
level to the credit of listed companies. It is demonstrated that, the main
factors affecting the credit risk of listed companies are: profitability,
operating capacity, solvency and growth ability, which has the impact of
38.654%, 26.078%, 19.025%, and 16.242% separately to the credit risk
of listed companies. The reasons of these four factors influences are
further illustrated and some suggestions are given in the end.
11:20-11:40
SunA07-4
Research on the Improvement Effect of Lean Thinking to
Construction Safety Management
Kongguo Zhu
Library of Shandong Youth Univ. of Political Scie.
Jinggang Lv
Tianjin Univ. of Finance & Economics
Frequent construction safety accidents worldwide not only result in
increased investment cost, but also seriously affect the sustainable
development of the construction industry and social stability. Combined
with lean thinking, the effectiveness of lean management was explored to
reduce all kinds of construction accident with injury and improve
enterprise performance. The relation between lean thinking, institution,
culture, construction enterprises and execution project was clarified;
further, a mutual effect model about construction safety management was
established. Finally, the long-term simulations employing M-Agent and
Repast software to lean thinking functions have been carried out, directly
reflecting the effect trend for lean thinking during chronic periods.
Furthermore, the extent to which respective agent behavior holds
importance to safety aim has been obtained by analyzing single factor
sensitivity. By field investigation, simulation results precisely correspond
with situations reflected during practical projects, posing some references
to relevant enterprise and department when they make a strategic
decision.
11:40-12:00
SunA07-5
On Labor Force Unemployment of Each Region in Harbin in China
Wei Wang
Harbin Univ. of Commerce
Yonggang Ye
Harbin Univ. of Commerce
Jirong Zhao
Harbin Univ. of Commerce
At present, the ratio of unemployment was rising slightly in China, and the
employment pressure was bigger and bigger than before. To make a
scientific explanation for unemployment is the key to solve the focus
problem of employment. The study listed seven factors that affect
unemployment of labor force by the method of factor analysis and
principal component analysis. Seven factors were defined as the
subjective factor and objective factor separately, and the different causes
of unemployment were analyzed in each region of Harbin with clarity,
which could provide some effective recommendations for the local
government in different areas in Harbin.
12:00-12:20
SunA07-6
Type Selection of Tourism Supply Chain and its Safeguard
Mechanism
Danhong Chen
Shenyang Aerospace Univ.
Currently, when tourists’ demands of the standard massive tourism are
Book of Abstracts
transferring toward personal and systematic tendency, the original model
of meeting demands by accommodation, travel, shopping, entertainment
etc. is meeting with trouble. Tourism supply chain can assist tourism
companies and partners in cooperating well. On the one hand, it
integrates tourism factors and organizes tourism products per multiple
demands of tourist. On the other hand, it eliminates high cost obstacle
and enhance competitive abilities of companies with the strategic
cooperation. This thesis tries to resolve the issues existing in the tourism
supply chain by introducing of systems approach. Research shows that:
developing tourism supply chain must use a variety mechanisms,
including management safeguard mechanism, strengthen brand
mechanism, funds support mechanism, coordination safeguard
mechanism, information interflow mechanism, credibility culture
mechanism, members fluxion mechanism.
SunA08
Control applications (I)
Chair: Rongqi Shi
CO-Chair: Yan Liu
Room9B
10:20-12:20
Tsinghua Univ.
Chinese Academy of Scie.
10:20-10:40
SunA08-1
Design of Active Disturbance Rejection Control System for
Morphing Flight Dynamics
Rongqi Shi
Tsinghua Univ.
Jie Peng
Tsinghua Univ.
Different attitude control systems for large-scale morphing flight were
developed based on active disturbance rejection control. For the
introduced longitudinal parameter-dependent flight dynamics, an attitude
control system was developed with a novel control strategy, virtual
morphing control surface, put forward. The un-modeled dynamics and
aerodynamic error were observed and compensated as a generalized
disturbance. Case studies illustrated that the control system with virtual
morphing control surfaces showed low requirements on the elevator
deflection and shape changes. The results indicate that a novel and
practical control system, integrating flight attitude control with shape
control, is developed based on “virtual morphing control surface” strategy
and active disturbance rejection control method, which can achieve
autonomous, smart morphing similar to bird-like flight, and reduce the
energy consumption of both the elevators and the morphing actuators.
10:40-11:00
SunA08-2
A Study on the Sync Guidance of the Multi-Lasers with the
Micro-Vision
Yan Liu
Chinese Academy of Scie.
Fangfang Liu
Chinese Academy of Scie.
Wei Zou
Chinese Academy of Scie.
In the application of the multi-beam laser accumulation for high energy, it
is a key technology to guide the lasers into a micro area precisely and
quickly. This paper proposes a laser spot identify and laser track sync con
trol method, with the micro-vision feedback, parameterizing the laser spot
based on the spot’s counter characteristics. At the same time, the method
is optimized in identifying the mass center and distinguishing the
overlapped areas for the laser spots. The distributed method is verified by
simulation and experiments. Compared with existing method, the sync
control one guides lasers as the same precision but is 4 time higher
efficiency under a 4 beam lasers experimental result.
11:00-11:20
SunA08-3
Local Hopf bifurcation analysis of logistic population dynamics
models with two delays
Sreelakshmi Manjunath
Indian Institute of Tech. Madras
Gaurav Raina
Indian Institute of Tech. Madras
Multiple time lags can occur very naturally in the study of population
dynamics. In this paper, we study two forms of the delay logistic equation
with two discrete time delays. For both the models, we identify the
condition for the first local Hopf bifurcation. For our analysis, we employ a
non-dimensional bifurcation parameter. Using Poincare normal forms and
the center manifold theory, we also conduct the requisite analysis to
determine the type of the Hopf bifurcation. This enables us to determine
the asymptotic orbital stability of the bifurcating periodic solutions. The
analysis is complemented with some numerical examples andbifurcation
diagrams.
11:20-11:40
SunA08-4
Simulation of the Ship Burble in a Cooperative Carrier Approach
Pattern
Ran Dong
Harbin Engineering Univ.
Guihua Xia
Harbin Engineering Univ.
Ship burble is one of the main sources leading to carrier landing error,
thus the intensive researches on it are significant in optimizing the
performance of carrier landing. A practical final approach pattern for
carrier aircraft was described. It was characterized by the adjustment of a
carrier’s heading and velocity to cater for local sea-wind in creating
favorable airflow field, besides the involved advantages and feasibility
were detailed. With this pattern as premise, the numerical emulation of
ship burble was achieved according to the specifications on carrier
airwake modeling in MIL-HDBK-1797. In addition, aiming at the nonlinear
time-varying parameters in the random components of the burble model,
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2014CCDC
a succinct solution was set forth. The results of time-domain simulation
for all three velocity components were presented, and the capability of the
model form proposed by the standard in approximately delineating carrier
airwake of multiple cases was discussed as well.
11:40-12:00
SunA08-5
Study of FPGA-based Visual Detection for Pointer Dial
Bin Sun
Kunming Univ.of Scie.and Tech.
Changsheng Zhang
Kunming Univ.of Scie.and Tech.
Ziyu Liu
Kunming Univ.of Scie.and Tech.
Bin Qian
Kunming Univ.of Scie.and Tech.
Hanping Zhang
Kunming Univ.of Scie.and Tech.
The lubricating oil pressure of ball mill in ore dressing plant is a critical
real-time monitoring parameter. In this paper, bilinear interpolation, DoG
filter, Marr-Hildreth edge detector and watershed algorithms are studied
on FPGA. In particular, the algorithm HVPP is proposed. Segmentation,
extraction and number identification are realized for the pressure pointer
dial imageby using these algorithms, such that intelligent reading for the
gauge is achieved. Experiment shows that employing the fast algorithm
based on logic circuit to accomplish the machine recognition has
advantages of good real-time performance and high recognition rate.
12:00-12:20
SunA08-6
Partial Feed-forward Decoupling Based PI Control of CFBB
Combustion System
Jizhen Liu
North China Electric Power Univ.
Zhen-fang Zhong
North China Electric Power Univ.
Circulating fluidized bed boiler (CFBB) develops quickly for a large range
of fuels, rapid adjustment to load instruction and low-emissions. But its
combustion system is sophisticated with large time-delay and multi-input
multi-output coupling together, which make it hard to control. Based on
analyzing an existing 2×2 transfer function matrix of the main steam
pressure and the bed temperature, a partial feed-forward decoupling
method is given to solve the coupling problem. And a new PI controller
parameters tuning method is presented for the decoupled loops.
Simulation results demonstrate the effectiveness of the decoupling and
the control strategy.
SunA09
Robot control (I)
Chair: Ji Xiang
CO-Chair: Xuezhu Wang
Room10A
10:20-12:20
Zhejiang Univ.
Univ. of Chinese Academy of Scie.
Chinese Academy of Scie.
10:20-10:40
SunA09-1
Kinematic Control for Redundant Manipulators with Time
Dependent Constraints: General-Weighted Least-Norm Method
Pei Jiang
Zhejiang Univ.
Ji Xiang
Zhejiang Univ.
Wei Wei
Zhejiang Univ.
This paper extends the General-Weighted Least-Norm (GWLN) method
to the control problem of redundant manipulators with time dependent
constraints. By defining virtual joints presenting the time dependent
constraint and a time-dependent coordinates transformation, a middle
kinematic control problem with only joint limits is obtained. We then apply
the GWLN method on the middle problem that is time independent. We
also improve the GWLN method by replacing the prediction step in
implementation algorithm of the GWLN method with a new weighted
matrix. To demonstrate the efficacy of the method, simulations are carried
out on five-link welding manipulator to track welding trajectory meanwhile
guaranteeing time dependent orientation constraint and keeping away
from joint limits.
10:40-11:00
SunA09-2
Adaptive Backstepping Control of Flexible Joint Robots with
Friction Compensation Based on LuGre Model
Xuezhu Wang
Univ. of Chinese Academy of Scie.
Chinese Academy of Scie.
Hongyi Li
Chinese Academy of Scie.
Yuechao Wang
Chinese Academy of Scie.
Jianning Hua
Northeastern Univ.
Flexibility, parameter uncertainty and joint friction restrictthe control
performance of flexible joint robots. In this paper, an adaptive
backstepping method with friction compensation is presented for the
control of flexible joint robots with parameter inaccuracies, in which the
joint friction is described by LuGre model and compensated base on a
friction observer, and the inaccuracies of robot parameters are resolved
by adaptive parameters estimation. Simulation verifies the effectiveness
of the friction compensation method, and shows the proposed controller
could achieve good control performance with model inaccuracies.
11:00-11:20
SunA09-3
Multi-smart car control system design and research based on
ZigBee
Chuan Wang
Nanjing Normal Univ.
Zhongyu Shen
Nanjing Normal Univ.
Engang Tian
Nanjing Normal Univ.
Book of Abstracts
Qiwen Zheng
Nanjing Normal Univ.
Firstly, the multi-smart car formation control system is designed by using
distributed control architecture. The wireless communications, the
magnetic field sensors, motor drives and other hardware modules are
designed. The smart car navigation is achieved by magnetic field
detection. Then the multi-smart car cooperative control self-organizing
wireless communication network is designed by ZigBee. The embedded
μC/OS-II real-time operating system is transplanted into the smart car.
According to the requirements for multi- smart car cooperative control,
the linear optimal quadratic fleet tracking control algorithm is utilized to
realize multi-smart car start and stopformations, and uniform and ramp
control. The collaborative communication negotiation intersection
algorithms are applied to achieve crossing collaborative tasks of the
smart car. Finally, the experimental results show that the designed
ZigBee wireless communication network meets the requirements for the
collaboration control, formation control and road junction collaborating
control of the smart car.
11:20-11:40
SunA09-4
A Kinematics Analysis for a 5-DOF Manipulator
Jinyan Lu
Chinese Academy of Scie.
De Xu
Chinese Academy of Scie.
Peng Wang
Chinese Academy of Scie.
In order to analyze a five-degree-of-freedom (DOF) manipulator for
special applications, this paper establishes its kinematics model firstly,
and then analyzes its workspace and characteristics, and gets its inverse
kinematics solution. Finally, its advantages and disadvantages are
presented. On the basis of kinematics analysis, combining with the typical
operating cases, we point out theexisting problems for the manipulator,
and then provide important guidance for the next optimization design.
11:40-12:00
SunA09-5
A Fast Human Detection Algorithm of Video Surveillance in
Emergencies
Juan Ma
Southwest Univ. of Scie. and Tech.
Rongchun Hu
Southwest Univ. of Scie. and Tech.
Jian Li
Southwest Automation Research Institute
This paper proposes a fast human detection algorithm of video
surveillance in emergencies. Firstly through the background subtraction
based on the single Guassian model and frame subtraction, we get the
target mask which is optimized by Gaussian filter and dilation. Then the
interest points of head is obtained from figures with target mask and edge
detection.Finally according to detecting these pionts we can track the
head and count the number of people with the frequence of moving target
at the same place. Simulation results show that the algorithm can detect
the moving object quickly and accurately.
12:00-12:20
SunA09-6
Receding Horizon Control for Mobile Robot Path Planning in
Unknown Dynamic Environments
Yang Chen
Wuhan Univ. of Scie. and Tech.
Lei Cheng
Wuhan Univ. of Scie. and Tech.
Huaiyu Wu
Wuhan Univ. of Scie. and Tech.
Yanhua Yang
Chinese Academy of Scie.
Path planning is one of the critical issues in mobile robot applications.
Traditional methods for path planning in unknown dynamic environment
generally plan one step rather than multiple controlling steps. This paper
proposes an approach with multiple controlling steps which integrates
receding horizon control (RHC) for mobile robot path planning in which
the obstacle avoidance problem is converted into mathematic constraint.
Besides, the distance from target to robot is optimized through involving a
quadratic cost function. Finally, a quadratic constrained quadratic
programming (QCQP) is generated, from which a sequence including
multiplecontrol steps is easily obtained. Based on the proposed
approach, simulations are demonstrated to verify the effectiveness of the
novel method.
SunA10
Room10B
Electric vehicles and intelligent transportation
10:20-12:20
Chair:Chenghui Zhang
Shandong Univ.
CO-Chair:Wenlong Yao
Dalian Maritime Univ.
10:20-10:40
SunA10-1
Full Speed Range Control of IPMSM for Electric Vehicles Based on
Hamiltonian Theory
Xudong Liu
Shandong Univ.
Ke Li
Shandong Univ.
Chenghui Zhang
Shandong Univ.
JingSun
Shandong Univ.
Shandong Institute of Business and Tech.
The full speed range stabilizing control of interior permanent magnet
synchronous motor(IPMSM)for electric vehicles based on Port-Controlled
Hamiltonian(PCH)theory is proposed in this paper. First, the Hamiltonian
stabilizing control of IPMSM is realized using energy-shaping method of
interconnection and damping assignment. Then the desired equilibrium is
acquired by maximum torque per current(MTPA) and field-weakening
control. Finally, the load torque observer is designed and the controller
design is developed when the load torque is unknown. The simulation
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2014CCDC
resultsshow that the proposed method has good speed tracking
performance and anti-disturbance ability in the full speed range,and the
theory contributes to the improvement of control performance in the
electric vehicle.
10:40-11:00
SunA10-2
Study on EV Charging Station Location Planning Based on the Load
Balance Principle with Agent-based AnyLogic Simulation
Ruifeng Shi
North China Electric Power Univ.
Shiyao Zheng
North China Electric Power Univ.
Chaoqun Zhang
North China Electric Power Univ.
Li Zhang
The Ministry of Scie. and Tech.
Electrification of the transportation sector is gradually becoming a global
trend due to the environmental benefits of electric vehicles (EV), which
not only helps to reduce greenhouse gas emissions, but also helps to
reduce the burden of fossil fuel resources need. In order to analyze and
evaluate the performance of different EV charging station location
schemes, a pre-built AnyLogic Urban Dynamics model with considering
population, business, housing, and transport infrastructure is employed to
simulate the private EV electricity demand per hour in this paper.
Furthermore, two typical EV charging station location schemes for Beijing
City’s urban area is adopted to illustrate the performance difference
between these models, in which the plan A showed a serious load
unbalance problem by contrast to the plan B, which further demonstrates
the value of our simulation model on helping the decision maker with
such issues. We can find that the optimal EV charging station will avoid
the waste of resource and meet the charging requirement.
11:00-11:20
SunA10-3
Road Boundary Detection Based On Information Entropy
Xiao Hu
Northwestern Polytechnic Univ.
Compiegne Univ. of Tech.
Chao Huang
Compiegne Univ. of Tech.
Wei Cai
Institut national des scie. appliquees de Lyon
Detecting the road boundary is an important step for the applications of
Intelligent Vehicle (IV), such as generating the region of interest (ROI) as
a prior information for object detection or path planning. Hereafter we
propose a new method for detecting road boundaries using Laser
Interferometry Detection and Ranging (LIDAR). Ground points are firstly
removed from LIDAR point cloud through a preprocessing procedure.
Then information entropy is applied here for estimating the steering angle
of the host vehicle. The estimated steering angle is later employed to
rectify the point cloud. Road boundaries are finally detected based on the
maximal value of the corresponding histogram. We compare this
approach to the traditional histogram based road boundary detection
method. Experiments showed that the proposed method can effectively
detect road boundaries even in steering situations and outperform the
traditional method.
11:20-11:40
SunA10-4
Ship Electrical Propulsion Control System based on Improved
Model-free Adaptive Control
Wenlong Yao
Dalian Maritime Univ.
Ronghu Chi
Qingdao Univ. of Scie. and Tech.
Yuan Liu
Qingdao Ocean Shipping Mariners College
wei Shao
Qingdao Univ. of Scie. and Tech.
Jundong Zhang
Dalian Maritime Univ.
Guichen Zhang
Harbin Engineering Univ.
A novel ship electrical propulsion control system is designed based on an
improved model-free adaptive control (MFAC).The improved vector
control algorithm is presented based on the higher-order model-free
adaptive control, this method can make full use of more ship sailing
control information of previous in order to improve the control
performance by introducing higher-order learning law. Then the proposed
algorithm is applied to control the speed and torque of ship electrical
propulsion system, the control design is model-free and just depends on
the I/O data of the system, this makes it adaptable to various sea
situations. Simulation results show that both the speed and torque can
obtain satisfied dynamic performance.
11:40-12:00
SunA10-5
A Nonlinear Control Allocation Algorithm for DYC in
Distributed-motor Drive Electric Vehicles using S-SQP
Lu Xiong
Tongji Univ.
Yuanlong Chen
Tongji Univ.
Chi Jin
Tongji Univ.
The yaw stabilization in distributed-motor drive electric vehicles is usually
based on hierarchical control structure, namely an upper-level motion
following controller and a lower-level control allocation scheme. The
existing strongly coupling property of tire forces gives rise to extreme
difficulty in solving the control allocation problem for its nonlinearities in
the moment/effector relationships, especially under critical cornering. In
this paper, an improved approach is presented for the solution of the
control allocation where the control variable rates or moment are
nonlinear functions of control position. A single-iteration sequential
quadratic programming method based on simplified tire model is
exploited to solve the control allocation problem. The performance of this
Book of Abstracts
approach will be compared with the traditional approach which utilizes
linear efficiency matrix without considering the tire coupling property by
simulation. The results show that the yaw moment generated by the
change of lateral force cannot be neglected, which will affect both the
allocation accuracy and control energy. The single-iteration sequential
quadratic programming method that satisfies the real-time requirement
not only efficiently achieves four wheel longitudinal forces according to
the wheel states, but also significantly reduces the allocation errors.
Additionally, control energy consumption is lower when compared with
the approach using linear efficiency matrix.
12:00-12:20
SunA10-6
Optimal Planning of the Clutch Slipping Control for Gear Shift of
2-speed Electric Vehicle
Qiong Liang
Jilin Univ.
Nana Tang
Jilin Univ.
Bingzhao Gao
Jilin Univ.
Hong Chen
Jilin Univ.
The gear shift control of 2-speed AMT (Automated Manual Transmission)
of pure electric vehicle is investigated to improve the shift quality. During
the inertia phase of the gear shift process, a linear-quadratic optimal
controller is designed for minimizing the clutch friction work, vehicle jerk
and ensuring the transmission output torque change smoothly. The
optimal controller is a time-varying linear feedback form of the states.
Based on the simulation results of the optimal controller, the reference
trajectory of the clutch speed difference and motor torque are obtained
using normalized fitting method. The fitted reference trajectories are used
as feed-forward inputs in the inertia phase to accomplish the gear shift
process. The control algorithm is confirmed through test on a complete
power train simulation model.
SunA11
Room11B
Intelligent Building Control and Management (I)
10:20-12:20
Chair: Yahui Wang
Beijing Univ. of Civil Engineering and
Architecture
CO-Chair:
10:20-10:40
SunA11-1
A Rapid and Low-Cost North-Finder Design with Error
Compensation
Fangzhou Zheng
Beijing Institute of Technology
Shugui Wu
National Earthquake Infrastructure Service
Xiao Lin
Beijing Institute of Technology
Yaping Dai
Beijing Institute of Technology
This paper presents a rapid and low-cost north-finder with error
compensation (EC_North-Finder). An electronic compass is adopted as a
core measuring unit and the steering mechanism of the instrument probe
is adjusted through the translocation motor. Aiming at the influence of
interference factors, a compensation algorithm which is based on the
ellipse hypothesis is used in the calibration of electronic compass.
Controlled by single chip microcomputer, the system could collect the
location information; operate the translocation motor automatically and
intelligently. In addition, the orientation data can also be processed and
stored. The experiments results show that the precision of orientation
data can be less than 0.8°.
10:40-11:00
SunA11-2
An Adaptive Genetic Algorithm based on Arctangent Function
Ting Yu
Dalian Maritime University
Jiang-qiang Hu
Dalian Maritime University
Jian-chuan Yin
Dalian Maritime University
Xing-xing Huo
Dalian Maritime University
To speed up convergence rate and improve local convergence in genetic
algorithm, nonlinear adaptive crossover probability and mutation
probability function are designed. They are based on the arctangent
function with three parameters of maximal fitness, minimal fitness and
average fitness. An improved adaptive genetic algorithm is proposed
based on the two designed functions. Simulation results prove that the
proposed improved AGA possesses faster convergence speed than GA
and AGA presented by Srinvas, stronger optimization ability and avoid
the premature effectively.
11:00-11:20
SunA11-3
A FDD Model of VAV Systems Based on Neural-Networks and
Residual Statistics
Han Qi
Beijing Univ. of Civil Engineering and Architecture,
Wei Dong
Beijing Univ. of Civil Engineering and Architecture,
Components and sensors in VAV (Variable Air Volume) air distribution
systems often suffer from failure easily, which result in energy waste,
performance degradation or totally out of control. However, there is no
applicable automatic commissioning tool for the VAV systems by now.
Fault detection and diagnosis (FDD) models for VAV teminal units based
on heat-mass balance of air conditioning areas are proposed in this
study. Two BP neural network prediction models are built up for predicting
the required air flow volume and the demand values of VAV damper
opening, Fault detection can be implemented by means of statistics of the
residuals between the measured values and the model predictions.
109
2014CCDC
11:20-11:40
SunA11-4
Resource Constrained Project Scheduling Problem Based on
Improved Ant Colony Algorithm
Jun YAN
Lanzhou Jiaotong University
Chunyan Zhao
Gansu LianHe University
Haiying Dong
Lanzhou Jiaotong University
This article for resource-constrained project scheduling problem, first by
establishing mathematical model and then using an improved Ant Colony
algorithm for optimization, and simulation using MATLAB. Research
results show that the improved Ant Colony algorithm for solving
resource-constrained project scheduling problem is effective and
feasible.
11:40-12:00
SunA11-5
The City Gas Emergency Dispatching Strategy Based on Multi-agent
Wei Xufeng
Beijing Univ. of Civil Engineering and Architecture
Liu Chao
Beijing Univ. of Civil Engineering and Architecture
Wang Yahui
Beijing Univ. of Civil Engineering and Architecture
With the widely use of the city gas, accidents have relatively increased.
However, due to the particularity of emergency management, that is, it
does not allow testing and the correctness of its management system and
process is difficult to verify, the city gas emergency dispatching system
has met unprecedented challenges. To this, we have established a city
gas emergency dispatching simulation system based on Multi-agent.
Applying the autonomy, initiative, reactivity and collaboration of
Multi-agent to the city gas emergency dispatching system, we design the
appropriate Agent and analyze the cooperation mechanism of Multi-agent
function modules, thus to verify the rationality and effectiveness of rescue
plan made by real emergency dispatching strategy.
12:00-12:20
SunA11-6
Comparative Study on Permanent Magnet Synchronous Motor
Control Systems in Elevator
Muhan Nie
Beijing Univ. of Engineering and Architecture
Hongyan Ma
Beijing Univ. of Engineering and Architecture
PMSM has been used widely in elevator speed control system .Based on
the mathematical model of PMSM and algorithm of inverter (CFPWM,
SPWM, SVPWM), PMSM vector control systems are built. By the
software of MATLAB/Simulink, the control systems using three inverter
methods of CFPWM, SPWM, SVPWM are comparative simulated and
analyzed. The results show that the oscillating of torque, speed, and
magnetic chain using SVPWM is the smallest and the performance of
robustness is the best. PMSM vector control system using SVPWM is
benefit for elevator steady operation.
SunAIS
Interactive Session
The lobby of the 4th floor
10:20-12:20
SunAIS-01
Non-destructive Detection on the Fertility of Injected SPF Eggs in
Vaccine Manufacture
Qilei Xu
Qingdao Univ.of Scie.and Tech.
Fengying Cui
Qingdao Univ.of Scie.and Tech.
A non-destructive detection system based on machine vision was
designed for identifying the fertility of eggs prior to virus cultivation.
Specific imaging system and detection algorithm were presented. A
method based on smallest univalve segment assimilating nucleus was
introduced to distinguish the high-brightness speckle noise pixels in egg
images since the high transmittance of holes in eggshell. After speckle
noise elimination and egg blood vessels restored, the multi-layer feature
extraction method was used to acquire the binary image including main
blood vessels. Finally, fertility judgment was evaluated by calculating the
percentage that blood vessel area occupies in the ROI image. The
experimental results show the method achieved identification accuracies
of 97.78%, average identification time of 0.109s. It is proved that the
proposed method is feasible for automatic and unattended fertility
judgment of eggs in vaccine manufacture.
SunAIS-02
An ARM-Based Embedded Gesture Recognition System Using a
Data Glove
Wang Jingqiu
Beijing Institute of Technology
Zhang Ting
Beijing Institute of Technology
Gesture is a natural and intuitive mode of interpersonal communication,
which can simulate language and behaviors to express certain meanings
and words. In this paper, an embedded gesture recognition system has
been designed and developed using a data glove. The design of a data
glove is aimed at supplying a auxiliary communication
tool for deaf people so that there is more social intercourse between them
and the normal. The gesture recognition system which can interpret
gesture to voice and text messages is mainly composed of four parts: a
data glove, an ARM processor, a display module and an audio module.
The data glove comprises five unidirectional bend sensors (FLX-03) and
a 3-axis accelerometer. The ARM processor receives the data that is
transmitted from the sensors of a data glove through I/O ports. And it also
analyzes and calculations the data from distinct gestures, then compares
Book of Abstracts
the data with the
templates to see if the gestures match. The recognition results are
displayed on an LCD screen, and the converted voice is outputted
through an external speaker. Combined with the hardware, this paper
focuses on the template matching algorithm, including data collection,
mining and processing. The experimental results show that the
recognition accuracy rate of trained gestures is above 91%.
SunAIS-03
The Design of Aviation Battery Charging and Discharging System
based on DSP
Chengtao Cai
Harbin Engineering Unvi.
Chao Yang
Harbin Engineering Unvi.
Xiaolong Lv
Harbin Engineering Unvi.
Aviation battery which is used for giving power to critical load of aircraft
for an emergency situation is an important part of the aircraft airborne
equipment Traditional battery charging equipments usually adopt simple
methods such as constant current or constant voltage to charge battery
without the ability of monitoring the status of battery in real time in the
charging and discharging process. This imprudent approach usually
leads to the over-charging as well as irreversible damage to the battery.
For dealing with challenge problem, we intend to apply modern power
electronics technology, high-frequency inverter technology and discharge
depolarization timely technology to overcome those shortcomings
mentioned above. At the same time, our major task focused on the
hardware design based on DSP controller, including AC to DC circuit, full
bridge inverter circuit, driver circuit, the rectifier filter circuit and so on.
The simulation and experimental results show that the aviation battery
charging equipment we designed can fulfill the practical requirement and
has more advantages such as high effective and real-time status
detection etc.
SunAIS-04
Delay-range-dependent stability for uncertain stochastic systems
with time-varying delay
Tao Liu
Qilu univ. of tech.
This paper deals with the problems of robust stochastic stabilization for
uncertain stochastic systems with a time-varying delay in the state. The
parameter uncertainties are assumed to be time-varying norm-bounded
appearing in the state. Some delay-range-dependent stability criteria are
derived based on the new Lyapunov functional and the consideration of
range for the time-delay. An example illustrating the proposed approach
is provided.
SunAIS-05
Hopf Bifurcation Analysis and Control of a New Lorenz-like System
Zhang Zhonghua
Northeast Dianli Univ.
This paper is concerned with Hopf bifurcation behavior and bifurcation
control of a new Lorenz-like system. Firstly, Hopf bifurcation type is
studied based on the bifurcation stability norm, furthermore bifurcation
period and characteristic exponent of system are given. Then the linear
controller and the non-linear controller are applied to control the Hopf
bifurcation of original system respectively. For linear control, the
Routh–Hurwitz criterion is adopted to give parameter conditions making
Hopf bifurcation dissapear; For non-linear control, the Hopf bifurcation
Normal Form of controlled system is obtained by using the direct Normal
Form method, besides, according to coefficient of Normal Form, the
impact of selection criteria of non-linear parameter on amplitude of limit
cycle and Hopf bifurcation type are discussed, discussions show that
when the non-linear parameter satisfies certain condition, bifurcation type
of original system will be changed, and the periodic solution amplitude
will be changed with the parameter. Finally, theoretical results are verified
by numerical simulations.
SunAIS-06
Neural Network Adaptive State Feedback Control of a Magnetic
Levitation System
Shi-tie Zhao
Northeastern Univ.
Xian-wen Gao
Northeastern Univ.
Magnetic levitation system is a typical nonlinear and instable system.
Based on the complexity and inaccuracy of modelling, in this paper
identified magnetic levitation system using the speciality that neural
network(NN) can approach any nonlinear function. A Radial Basis
Function neural network (RBFNN) controller is designed based on the
neural network adaptive control principle. This paper proposes a control
method which combine neural network adaptive control method and state
feedback control method based on RBFNN. A simulation of the system is
is proposed, and the result shows that RBFNN could approach magnetic
levitation system very well ,neural network adaptive state feedback
controller has a good effect on this nonlinear system; this control system
has a preferable stability and control property.
SunAIS-07
Permanent Magnet Synchronous Motor Direct Torque Control
Based on Particle Filter Observer
Xu Wang
Northeastern Univ.
Yan Xing
Northeastern Univ.
110
2014CCDC
Hong-liang Yu
Northeastern Univ.
Dan Yang
Northeastern Univ.
According to the characteristic of permanent magnet synchronous motor
(PMSM), a novel stator flux observer based on Particle Filter (PF) is
introduced in order to reduce the ripple at direct torque control (DTC)
system. The standard Particle Filter algorithm is presented at first, and
the application of the Particle Filter algorithm in the high performance
DTC system of PMSM is primarily discussed. Terminal voltages and
stator currents measured are used to estimate the stator flux on line
according to the PF algorithm at real time, which can provide flux
feedback for DTC system. At last, a simulated experiment is done. The
simulation results indicate that the proposed algorithm can achieve high
estimation precision, and the system has good properties.
SunAIS-08
I&I Stabilization Based Novel Nonlinear Adaptive TCSC Control
Algorithm for Improving Transient Stability
Lei Zhang
Xi'an Polytechnic Univ.
Aimin Zhang
Xi'an Jiaotong Univ.
Junfeng Jing
Xi'an Polytechnic Univ.
This paper presents the transient stability enhancement of power
transmission system by adopting immersion and invariant (I&I)
stabilization and sliding-mode observer in designing Thyrister Controlled
Series Compensation (TCSC) adaptive controller. In designing the TCSC
controller, a deduced-order target system is first defined and the
dynamics of the controlled system will be “immersed” into it based on I&I
stabilization theory. The proposed TCSC controller is then made adaptive
by designing adaptive update laws for the unmeasurable damping
coefficient and mechanical power based on adaptive sliding-mode
observer to identify the two uncertain parameters of the controlled
system. The simulation results demonstrate the effectiveness of the
proposed novel nonlinear adaptive TCSC controller.
SunAIS-09
Study on the mathematical model of virus infection in pest
management
Jingjin Zhang
Key Lab. of Biologic Resources Protection and
Utilization of Hubei Province;
Hubei Minzu Univ.
Zhongyi
Key Lab. of Biologic Resources Protection and
Xiang
Utilization of Hubei Province;
Hubei Minzu Univ.
In this paper, we consider the pest is infected by virus, and the natural
enemies have functional response of Beddington-DeAngelis. Making use
of Floquet theory, comparison theory and small amplitude perturbations
to get the condition of pest-eradication periodic solution locality
asymptotical stability and continue existence. The conclusion contributes
to control pests.
SunAIS-10
Quantized Feedback Stabilization of Nonlinear Cascaded Systems
with Dynamic Uncertainties
Tengfei Liu
Northeastern Univ.
Zhong-Ping Jiang
New York Univ.
This paper studies the quantized partial-state feedback stabilization of a
class of nonlinear cascaded systems with dynamic uncertainties. Under
the assumption that the dynamic uncertainties are input-to-state
practically stable, we develop a novel recursive design method for
quantized stabilization by taking into account the influence of quantization
and using the small-gain theorem. When the dynamic uncertainty is
input-to-state stable, asymptotic stabilization can be achieved with the
proposed quantized control law.
SunAIS-11
Chaos Control for the Buck-Boost Converter by Improving the
Correlation
Meimei Jia
Tianjin Univ.
Guoshan Zhang
Tianjin Univ.
To transform the Buck-Boost converter from the chaotic state to the
periodic orbits, this paper proposes a chaotic control method by
improving the correlation between the inductor current and the output
voltage. By adjusting the coupling strength, this method can control the
chaotic Buck-Boost converter to the period-2, period-4, period-8 orbits
and the period-3, period-6, period-9 orbits, without determining the
unstable periodic orbits (UPOs) in advance.
SunAIS-12
Formation Control of Robot Swarm Based on Community Division
and Multilevel Topology Design via Pining
Shiming Chen
East China Jiaotong University
Xianda Ding
East China Jiaotong University
Xiaoling Chen
East China Jiaotong University
In order to solve the problem which robot swarm isn’t easy to form and
maintain stable formations, a formation control algorithm based on
community division and multilevel topology is proposed by introducing the
ideas of hierarchical clustering and pining control. Firstly, based on the
hierarchical clustering algorithm, a large group of robots is divided into
Book of Abstracts
some communities and a pining robot is found out in each community.
Secondly, a multilevel topology is designed as the standard shape of
robots in each community. Finally, a controller is presented to finish
formation and collision avoidance. The local minimum and the instable
formation direction of problems in the controller are solved
simultaneously. The experimental results show the validity of the
algorithm.
SunAIS-13
Mach Number Prediction Models Based On Ensemble Neural
Networks for Wind Tunnel Testing
ZhiWei Jin
High Speed Aerodynamics Inst., China Aero
dynamics Research and Development Center
Li Zhao
High Speed Aerodynamics Inst., China Aero
dynamics Research and Development Center
ZhengZhou Rao
High Speed Aerodynamics Inst., China Aero
dynamics Research and Development Center
The 2.4m×2.4m wind tunnel is a system with the properties of strong
nonlinear, multiple variables, serious coupling, large lagging,
time-varying, etc. The complexity of all these phenomena makes the
development of suitable dynamic Mach number models based on the
aerodynamics laws very difficult. As an alternative, the Ensemble Neural
Networks (ENN) model based on the feature subsets is proposed to
address this problem. ENN built the sub-models on different lower
dimension data sets, and reduced the complexity of the single Neural
Networks (NN) built on the whole data set. Furthermore, a comparative
study among the single NN models and the ENN models when used to
predict the Mach number is conducted. Results show that the
performance is improved by the ENN models. It is also shows that
training time and testing time are much reduced by the ENN models.
SunAIS-14
Stability Analysis of Switched Nonlinear Systems with an improved
Mode-dependent Average Dwell Time Method
Ling Ren
Qilu Univ. of Tech.
Rongwei Guo
Qilu Univ. of Tech.
Ping Zhao
Univ. of Jinan
Bin Li
Qilu Univ. of Tech.;
Shandong Univ.
This paper investigates the stability for a class of switched nonlinear
systems. Firstly, an improved average dwell time (ADT) method is
introduced, based on which an improved mode-dependent dwell time
(MDDT) method is established. Then, several new results to the stability
analysis are obtained. In comparison with the existing results, the
obtained results have some advantages over those obtained by others.
Finally, an illustrative example with numerical simulation is studied to
show the correctness and validity of our results.
SunAIS-15
Synchronization of Chua’s Circuits Based on Strictly Positive
Realness
Hong Niu
Tianjin Univ.
Guoshan Zhang
Tianjin Univ.
Jiankui Wang
Tianjin Univ.
The purpose of this paper is to verify that the method proposed in [1] is
still feasible when the nonlinear terms of the error system are some
piecewise linear functions containing explicit error state variables. The
synchronization of Chua’s circuits is considered as an example to
illustrate the validity of the method. With the aid of the stability estimation
and some numerical simulation results, the feasibility and effectiveness of
this method can be proven. Moreover, the synchronization controller can
still be designed without considering either the chaos ranges of the
variables or the variable coefficients and structures of the nonlinear
terms.
SunAIS-16
Characteristic Models and AILC Design of Time-Varying Nonlinear
Systems
Mingxuan Sun
Zhejiang Univ. of Tech.
Jie Zhang
Zhejiang Univ. of Tech.
Hongbo Bi
Zhejiang Univ. of Tech.
This paper presents a characteristic modeling method for
continuous/discrete time-varying nonlinear systems, where the model,
the first-order time-varying differential equation, is a unified one. Learning
identification algorithms are suggested for the purpose of parameter
estimation, and the adaptive iterative learning control strategy is
proposed for achieving the perfect tracking of the desired trajectory over
a pre-specified finite-time interval. The proposed control scheme is
applied on a permanent-magnet synchronous motor, where the least
squares/gradient learning algorithms with a forgetting factor are applied,
respectively, and the experimental results are presented to demonstrate
the effectiveness of the learning control schemes.
SunAIS-17
Anti-windup Compensator Design for Fuzzy Descriptor System with
Delayed State and Saturating Input
Yanbin Luo
Hangzhou Dianzi Univ.
111
2014CCDC
Qiuxuan Wu
Hangzhou Dianzi Univ.
Aipeng Jiang
Hangzhou Dianzi Univ.
For a class of solvable T-S fuzzy descriptor system with delayed state
and saturating input, delay-independent and delay-dependent, stability
conditions are correspondingly established using Lyapunov-Krasovskii
approach. The stability domain may be enlarged by applying a fuzzy
anti-windup compensator to the considered system, and the problem of
solving stability domain can be cast into the convex optimization problem.
SunAIS-18
Target tracking based on particle filter algorithm with multiple cues
fusion
Tao Zhang
Qingdao Univ. of Scie. and Tech.
Shumin Fei
Southeast Univ.
A robust tracking algorithm based on the particle filter with multi-cue
adaptive fusion is proposed which can overcome the shortcoming of
single visual cue in complex environments. The color and the texture
based on the discrete wavelet transform (DWT) are used to describe the
tracking target. The weights are adaptively adjusted using the democratic
integration according to the current tracking situations, which increases
the reliability of observation and improves the robustness of observation
model. Due to the use of reliable cues for tracking, the shortcoming of
single cue in complex scenes is improved. Meanwhile, the noise variance
of each cue is updating to increase the discrimination of each cue. During
designing particle filter based tracking algorithm, the likelihood model is
constructed depending on adaptive cue fusion mechanism, thus
enhancing the robustness of tracking algorithm. The experiments show
that the result of better tracking are obtained in circumstances that the
target is arbitrarily moving or rotating, partially or completely occlusion, as
well as the light changes. When the target with similar color appears, the
tracking algorithm with the texture model can distinguish the target with
the background.
SunAIS-19
Finite-time Input-to-state Stability of Multi-agent Systems with
Switching Topologies
Xiaoli Wang
Harbin Inst. of Tech. at Weihai
Yumin Chen
Harbin Inst. of Tech. at Weihai
Qian Sun
Curtin Univ.
In this paper, we mainly study finite-time input-to-state-stability (finite-time
ISS) for the multiagent systems with communication noise under
switching interaction topologies, using the method of ISS, finite-time
finite-time ISS-Lyapunov function.
SunAIS-20
Analysis of Population Controllability and Prediction of Population
Structure Based on Constraint System
Xiao-ning Yue
Shenyang Univ.
Zhao-jia Meng
Shenyang Univ.
Feng-dan Xie
Shenyang Univ.
It is established that population structure prediction time-varying
restriction system model, and its controllability of the system is analyzed
through grey system theory and control theory. Based on Liapunov
central limit theorem, the conclusion that child-bearing age of women is
subject to the normal distribution is obtained, and the density function of
fertility age is given. Fertility restricted function is introduced, and we
define population migration quantity as control variable, and state
feedback gain matrix is established by fertility restricted function, on the
basis of which, the discrete time-varying population structure restriction
system is established, at the same time its controllability is analyzed by
the fertility restriction function and population structure is predicted in a
closed region. Finally, error analysis is made through the model, and
accuracy and dependability of the model are proved.
SunAIS-21
Trajectory tracking control for intelligent vehicle based on the
Euler-Lagrange systems
Chuang Guo
Beijing Univ. of Tech.
Longfei Dong
Beijing Univ. of Tech.
Yanrong Ge
Beijing Univ. of Tech.;
Hebei Normal Univ.
In this paper, an improved trajectory tracking control law is proposed for a
four-wheel differential nonholonomic drive intelligent vehicle. Based on
the kinematics model and Euler-Lagrange (EL) system of the vehicle, the
control laws adopt an improved typical backstepping method to design
the kinematics controller and a fast terminal sliding mode technique to
devise the dynamic control law, which can completely track the desired
trajectory in finite time. The system is global asymptotic stability by
Lyapunov theory and the parameters are optimized through the pole
assignment method when the vehicle is near the reference trajectory.
Finally, simulations demonstrate the effectiveness and correctness of the
proposed control strategy.
SunAIS-22
Clustering Analysis based on Adaptive Genetic Algorithm for
Performance Assessment
Xiangpeng Gao
Shenyang Artillery Acad.
Book of Abstracts
Jianhua Wang
Shenyang Artillery Acad.;
Shenyang Cultural Broadcasting Press and
Publication Bureau
Shan Liang
119 Military Representative Office, General A
rmament Department
This paper analyses and studies genetic algorithm and classical
clustering algorithms, and then the demand analysis and design of the
personnel management system of Shenyang Administration College. The
adaptive crossover probability and adaptive mutation probability are
proposed, which consider the influence of every generation to algorithm
and the effect of different individual fitness in every generation. Theory
and experiment shows that the algorithm can concluded some results of
having meaning practically to guide college personnel management.
SunAIS-23
Gaussian Mixture Model with Semantic Distance for Image
Classification
Wei Wu
Inner Mongolia Univ.
Guanglai Gao
Inner Mongolia Univ.
Jianyun Nie
Univ. of Montreal
This paper mainly introduces a new method for image classification. The
traditional Bag of Visual Words model (BoVW) is a promising image
representation technique for image classification. But its limitation is that
much valuable information is lost when building the codebook of BoVW
simple by clustering visual features in the Euclidian space. In this paper,
we take full advantage of image semantic information to learn a new
distance metric which achieving the minimal loss of image information,
and then we learn visual words by clustering the local features using
Gaussian Mixture Models (GMMs) with this distance metric. When given
a test image, it firstly forms a visual document using GMM based on our
learned distance metric, then its category is determined by estimating the
maximum probability using language model under a specific category.
Experimental results confirm the effectiveness of our method, results are
satisfactory and competitive compared with traditional and state of the art
methods.
SunAIS-24
Intelligent Collaborative Urban Traffic Management System Based
on SOA and Cloud Computing
Fuquan Sun
Northeastern Univ.
Xi Yu
Dalian Inst. of Scie. and Tech.
Shixin Liu
Northeastern Univ.
Fuqiang Lu
Northeastern Univ.
Now the congestion of road has impacted on the city development
seriously, and became the crux which constrained the city development.
An intelligent urban traffic management system is needed urgently. In this
paper an architecture of the intelligent collaborative urban traffic
management system based on SOA and cloud computing is proposed. A
collaborative service model based on SOA is given to realize intelligent
collaborative management of urban traffic. The technology of service
request and response dispatching based on SOA is proposed in the
paper to match the collaborative event processing. Mass calculation was
realized by the application of the cloud computing platform. The system
fundamentally realizes the intelligent monitoring and management of
urban traffic and realizes the purpose of intelligent dredge of urban traffic.
SunAIS-25
Output Strictly Passive and Input Strictly Passive of Neutral
Systems
Jichun Wang
Northeast Univ.;
Liaoning Indu. Univ.
Qingling Zhang
Northeast Univ.
Dong Xiao
Northeast Univ.
Jingjing Bao
Northeast Univ.
Huiying Zhang
Northeast Univ.
This paper concerns the problem of output strictly passive control and
input strictly passive control for neutral systems. The aims at designing
state feedback controllers so that the neutral systems are asymptotical
and output or input strictly passive. In terms of a linear matrix inequality
(LMI) and Lyapunov function, the strictly passive criteria is formulated.
And the desired passive controller is given. Finally, a numerical example
is given to demonstrate the effectiveness of the proposed approach.
SunAIS-26
A Group Division Method Based on Collaborative Learning
Elements
Long Chen
Jiangxi Normal Univ.
Qing-hong Yang
Jiangxi Normal Univ.
In order to achieve collaborative learning in network learning system, two
primary questions must be solved. First is how to choose and quantify the
proper features to build user model .Second is how to divide the users
into optimal teams to play the best effectiveness of collaborative learning.
Based on the collaborative learning theory, its practical research, and the
conditions of network learning system, the paper selects learning interest
and knowledge level as user’s features, using the methods of educational
psychology measurement to quantify these two features so as to
establish user model. Considering the elements and some practical
112
2014CCDC
teaching cases of collaborative learning, the paper derives the
requirements of collaborative learning’s basic unit: the collaboration
group , and defines three features of collaborative group as: the cohesion
within group , the hierarchy within group and the uniformity among
groups. Then , the paper builds the group model and put forward the
objective function of collaborative learning grouping scheme. Finally, from
the perspective of clustering and combinatorial optimization, the paper
investigates how to divide the users into collaborative learning’s groups.
As a result, it comes up the method as follows. Above all, according to the
users’ learning interest, it uses K-means to cluster the users into different
clusters. Then in each cluster, genetic algorithm is adopted for
collaborative learning’s group division according to the users' knowledge
level. Thus, the paper achieves the automatic group division to find the
approximate optimal collaboration learning groups. Lastly, through the
simulation experiments, the validity of the method is proved.
SunAIS-27
Online Actuator Reassignment for Fault Tolerant Flight Control
Lunlong Zhong
Civil Aviation Univ. of China
Félix Mora-Camino
Ecole Nationale de l'Aviation Civile
This communication considers the case in which some aerodynamic
actuator failures occur when an aircraft performs the intended maneuver.
The problem considered deals with online reassignment of the remaining
effective actuators to continue performing the current maneuver safely.
First, through analysis of a general nonlinear system, the concept of
virtual inputs and fault tolerance is proposed and analyzed. Taking a pure
roll maneuver as an example, the values of its virtual inputs can be
computed through nonlinear inverse control approach. Then, a linear
quadratic programming problem is formulated for actuator reassignment,
to find a best utilization of remaining effective actuators, as well as taking
into account various constraints for safety. Three fast solution
approaches are studied to solve this reassignment problem. The
simulation results show the feasibility of the proposed method. Finally, a
general conclusion is drawn.
SunAIS-28
Research of Brain MRI Image Segmentation Algorithm Based on
FCM and SVM
Jun Xiao
Northeastern Univ.
Yifan Tong
Northeastern Univ.
Brain disease is one of common diseases that threaten human health,
which is becoming one of hot researches in society and medical
profession. After a variety of image segmentation methods in the brain
MR image segmentation are studied, it is found that FCM algorithm and
SVM algorithm have a lot of advantages and good application
prospection. Then a combination of unsupervised classification algorithm
of FCM and fuzzy support vector machine model is proposed and the
segmentation accuracy in the image with high noise and high bias fields
is tested. Experimental results prove the alidity of the proposed algorithm.
SunAIS-29
The Shapley Value of Cooperative Game with Stochastic Payoffs
Cheng-Guo E
Yanshan Univ.
Quan-Lin Li
Yanshan Univ.
Shi-Yong Li
Yanshan Univ.
In this paper, we consider cooperative game with stochastic payoffs and
give the definition of the Shapley value for it, which is obtained by
extending the classical case. Then we provide explicit expression for the
Shapley value of the cooperative game with stochastic payoffs, and
discuss its existence and uniqueness. Finally, the properties of the
Shapley value of convex cooperative game with stochastic payoffs are
investigated.
SunAIS-30
A Novel Algorithm for Divisible Resource Allocations under PSP
Auction Mechanism
Xingyu Shi
Beijing Inst. of Tech.
Suli Zou
Beijing Inst. of Tech.
Zhongjing Ma
Beijing Inst. of Tech.
In this paper we study the auction games for the allocation of divisible
resources under the progressive second price mechanism under which
the incentive compatibility holds, i.e., the truth-telling bid strategy is the
best response of individual players under this mechanism. We design a
novel dynamic process for the underlying PSP auction games following
which the system will converge to the Nash equilibrium. More specifically,
instead of directly updating individuals best response successively,
proposed by Lazar and Semret, under which the convergence may not
hold, we define an update policy to determine which player is allowed to
update his best response in next update step, and assign an upper limit
of the resource quantity which can be submitted by this player; then
following the proposed update mechanism and under certain mild
conditions, the auction system can converge to a Nash equilibrium which
is demonstrated with numerical examples.
SunAIS31
Nash Equilibrium Flow in a Routing Game with Random Queues
Tatiana Tatarenko
TU Darmstadt
Book of Abstracts
Ivan Popov
TU Darmstadt
In this paper, we present a new dynamic flow routing model on networks
of parallel paths with capacities on edges and a regime of random
queues at vertices. According to the introduced rules of waiting at
vertices, we estimate the routing cost functions expressed by a
mathematical expectation of a routing duration. For the corresponding
routing game with nonatomic agents we prove the existence of Nash
equilibrium flows and provide a method for their computation. On a basis
of the investigated properties of cost functions and Nash equilibrium
flows, we show that the routing costs can be changed in such a way that
one of the resulting equilibrium flows minimizes with some accuracy the
time a network is used by agents.
SunAIS-32
Lot Release Strategy Semiconductor Assembly and Testing Based
on The Degree of Constraint of The Minimum Spanning Tree
Guohui Zhang
Chinese acadamy of sciences R&D center for int
ernet of things;
Jiangsu R&D center for internet of things;
Wuxi cas ubiquitious information technology R&D
center Co., LTD
Chang Liu
Wuxi cas ubiquitious information technology R&D
center Co., LTD ;
Shenyang inst. of auto. chinese acad. of scie.
Lili Yao
Shenyang inst. of auto. chinese acad. of scie.
Haibo Shi
Shenyang inst. of auto. chinese acad. of scie.
The production of semiconductor assembly and testing is wide variety,
and the cost of produce time of switch between different products is not
the same, which could lead to its utilization is lower, production cycle
longer. Thus lot release control plays an important role for improving
utilization and shorter production cycle for semiconductor assembly and
testing system. In this paper, we modeled as a graph theory for solving
constrained minimum spanning tree problem. Using mainstream Prim
algorithm, we solve it to give each product sequence and specific lot
release time. It have solved the extra time problem that caused by
blinding lot release, and finally, through applied research we verified the
effectiveness and superiority of it. The proposed strategy can reduce the
change machine costs, shoten production cycle and improve production
efficiency.
SunAIS-33
Risk Response Strategy Research of Water and Sediment
Regulation System running schemes in the yellow river
Zhao Jing
Key Lab of Northwest Water Resources and Environ
ment Ecology of MOE at Xi’an;
Hydrology Bureau of The Yellow River Conservancy
Commission
Yixin Zhao
Henan Water & Power Engineering Consulting Co.Ltd
Huang Qiang Key Lab of Northwest Water Resources and Environ
ment Ecology of MOE at Xi’an
Wenjun Tian
Hydrology Bureau of The Yellow River Conservancy
Commission
Based on the sensitivity analysis on risk factors, the risk response
strategies were consequently proposed, and the basic theories of the
strategies were introduced in detail. The main procedure of the strategies
includes listing the risks to cope with, estimating the main risk resistance
capability, developing the risk consistent measures and formulating
alternative risk response strategies. Some principles were followed
during the strategy formulation such as appropriateness, timeliness,
consensus agreement, clear responsibility and optimization. Risk
response strategies can be put forward from the following several
aspects with consideration: risk management program, risk control
strategy, project control, labor control and management control. To select
risk response strategies, the risk loss as well as the nature and
composition of the cost needs to be analyzed considerately. Finally, the
countermeasures for risk mitigation were suggested, namely risk transfer
strategies and risk retention measures.
SunAIS-34
Three stability criteria for delayed stochastic genetic regulatory
networks and their conservativeness analysis
Jing Wang
Heilongjiang Univ.
Shaochun Cui
Heilongjiang Univ.
Xian Zhang
Heilongjiang Univ.
Yantao Wang
Heilongjiang Univ.
This paper considers the problem of stability analysis of a class of
delayed genetic regulatory networks (GRNs) with stochastic
disturbances. By introducing appropriate Lyapunov-Krasovskii functional
and employing freeweighting matrix approach, convex combination
approach and delay-range partition approach, respectively, three stability
criteria in the form of linear matrix inequalities are established to
guarantee the considered GRNs to be asymptotically stable in the mean
square sense. The change rate of time-varying delays is assumed to be
less than infinity. So, these stability criteria are applicable to both fast and
slow change rate of time-varying delays. Then, theoretical and numerical
comparisons are given to evaluate the conservativeness of the proposed
stability criteria.
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2014CCDC
SunAIS-35
Application of Wireless Sensor Network in the Monitoring System of
Boiler
Gang Wu
Northeastern University
Shenyang University
Chengdong Wu
Northeastern University
Shichun Xu
Solution Research and Development of China Uni
on Communication department Asia Info-Linkage,
Inc.
A system which was proposed used temperature sensor,pressure
sensor,infrared sensor and wireless communication network to monitor
the productive process of boiler.Each wireless sensor module was
spreaded each relevant position which needed to monitor in the
productive process of boiler.The monitored data was sent to the master
control box to analyse. The productive process was monitored by the
master control box .This system was used and the better effect was
achieved .The safety factor of produce was promoted.
SunAIS-36
The Detectability of Discrete-Time Stochastic Linear Systems with
Markovian Jump and Multiplicative Noises
Wenhui Liu
South China Univ. of Tech.
Feiqi Deng
South China Univ. of Tech.
Xuekui Yan
South China Univ. of Tech.
Yinwei Zhao
South China Univ. of Tech.
This paper studies the detectability of discrete-time stochastic linear
systems with Markovian jump and multiplicative noises. An equivalent
definition of the weak detectability for discrete-time stochastic linear
systems will be discussed. And we show that the weak detectability has
invariance under the linear output feedback.
SunAIS-37
Input/output-to-state stable property of switched stochastic
nonlinear systems by an improved average dwell time method
Ling Ren
Qilu Univ. of Tech.
Rongwei Guo
Qilu Univ. of Tech.
Ping Zhao
Univ. of Jinan
Bin Li
Qilu Univ. of Tech.;
Shandong Univ.
This paper investigates the input/output-to-state stable in the mean
(IOSSiM) property of switched stochastic nonlinear (SSN) systems. First,
we present a new IOSSiM result for the SSN systems whose subsystems
are IOSSiM by applying an improved ADT method. Second, by extending
the improved ADT method to unforced nominal SSN systems in which
parts of subsystems are stable, we establish a new stability analysis
result. It should be pointed out that the obtained results have two
advantages over the existing results, one is the ADT conditions are
simplified, the other is the obtained lower bound of ADT (τ*a ) is also
smaller than those obtained by other methods. Finally, an illustrative
example with numerical simulation is verified the correctness and the
effectiveness of the proposed methods.
SunAIS-38
A HFID-based Online Testing Technique for Internal Pressure of
Vacuum Breaker
Liu Shuguang
Xi’an Polytechnic University
Anhui Dorje Electric Co. Ltd.
Guo Qian
Xi’an Polytechnic University
Wu Xuexing
Anhui Dorje Electric Co. Ltd.
The internal gas pressure of vacuum breaker (VCB) is a main influencing
factor which effects on the VCB’s electric properties. The decaying gas
pressure in arc chamber will not only cause the supply voltage to be
beyond the VCB’s endurance, but also very difficult to cut off the fault
current effectively. With the decline of the arc chamber’s vacuum degree,
because of the arc quenching performance deterioration, the partial
discharge phenomena will occur between the contact and arcing cover,
and the discharge high-frequency impulses will be formed. By capturing
these impulses, we can detect indirectly the shield potential of the arc
chamber, so as to understand the arc chamber’s vacuum degree
accurately. Because the non-contact electric field receiving antenna is
adopted as the detecting element, so we detect the vacuum degree
without cutting off the power supply, reaching the purpose of the VCB
online detection.
SunAIS-39
Research on Active Heave Compensation for Offshore Crane
Liu Shuguang
Xi’an Polytechnic University
Anhui Dorje Electric Co. Ltd.
Guo Qian
Xi’an Polytechnic University
Zhao Wenpu
Anhui Dorje Electric Co. Ltd.
Heave compensation system is a new type of automatic control system
accompanied by increasing offshore operation; its main purpose is to
ensure marine equipment operation not affected by undulating limits,
which can normally work under adverse sea conditions. This paper
proposes a detection system with high performance, high precision
control algorithm of the active heave compensation system, through a
certain drive hydraulic system to heave compensation control strategy,
Book of Abstracts
make the crane heave motion of the amplitude of the heave motion of the
ship amplitude greatly reduce, can overcome the ship due to the wave
action in bad sea condition and the roll motion, trim movement, heave
movement and the movement coupling influence each other, to maintain
relatively stable and motion of the ship. This article presents the working
principle of the heave compensation system, describes in detail the key
technology of this kind of compensation system. To enhance control
accuracy and disturbance resisting ability, fuzzy-PI controller for the
parameter self-adjusting has been adopted in this system. The results of
experiment show that this controller can make the compensation speed
be automatically-controlled efficiently, and has a higher control accuracy,
better disturbance-resisting ability, less sensitive to parameter changes,
and better robustness.
SunAIS-40
Reliability Assessment of Nuclear Power Plant Digital
Instrumentation and Control System I: Challenges and Research
Status of Reliability Assessment Methodology
Shiliang Zhou
North China Electric Power Univ.
Ruitao Jiang
North China Electric Power Univ.
Yuyan Liu
North China Electric Power Univ.
Considering characteristics of nuclear power plant digital instrumentation
and control system, challenges of reliability assessment of digital
instrumentation and control system are pointed out. As for its dynamic
behavior and multi-states failure mode, limitation of traditional methods,
research status and applicability of dynamic flowgraph methodology and
other advance dynamic reliability assessment approach were introduced
and compered. It’s concluded that Dynamic flowgraph methodology
maybe the dominant one in future after simplify its model procedure and
reduction computational cost of its deductive analysis.
SunAIS-41
Reliability Assessment of Nuclear Power Plant Digital
Instrumentation and Control System II: Challenges from Uncertainty
of failure data and complexity of system and corresponding
research status
Shiliang Zhou
North China Electric Power Univ.
Yuyan Liu
North China Electric Power Univ.
After introducing difficulty of digital instrumentation and control system
failure data estimation, it’s pointed out not only random uncertainty, but
also epistemic uncertainty of failure data should be addressed in a
systematic way. Advantage, limitation and application status of traditional
uncertainty analysis method, Bayesian theory based method, probability
theory based method and two dimension Monte Carlo methods are
introduced. Challenges rise from its Complexity and large scale character
are also discussed in detail, and research status and trend to address
these challenges is also given.
SunAIS -42
Distributed Nested Rotating Consensus Problem of Multi-agent
Systems
Peng Lin
Chongqing Univ.
Wanting Lu
Chongqing Univ.
Yongduan Song
Chongqing Univ.
This paper investigates a distributed nested rotating consensus problem
of second-order multi-agent systems, where all agents move in a nested
circular orbit. A distributed control law is proposed for each agent to
realize the rotating consensus. Firstly, the local state feedback
guarantees the circular motion and then the distributed relative state
feedback guarantees the consensus of all agents. Finally, a sufficient
condition is derived to ensure that all agents as well as their circle centers
make circular motion in a distributed manner.
SunAIS-43
Consensus Analysis of a Class of Second-order Multi-Agent
Systems with Nonuniform Time-delays and Dynamically Changing
Topologies
Hui Gao
Chongqing Univ.
Yongduan Song
Chongqing Univ.
In this paper, the consensus problem of second-order multi-agent
systems with nonuniform time-delays and dynamically changing
topologies is studied. A linear consensus protocol with nonuniform
time-delays is developed for multi-agent systems. A sufficient condition in
terms of linear matrix inequalities is established to solve the consensus
problems under dynamically changing topologies (even when the
communication topologies is not connected all the time). A numerical
example is provided to illustrate the significance of our theoretical results.
SunAIS-44
An Electricity Charge Strategy Based on Dynamic Rewards and
Punishment
LI Yan-ping
Shenyang University
YU Dan
Shenyang University
XU Dai-dai
Shenyang University
LI Xin
Shenyang University
This paper studied deeply an electricity charge strategy based on
dynamic rewards and punishment mechanism. Several types of rewards
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2014CCDC
and punishment are proposed, such as unilateral linear punishment and
nonlinear charge, bilateral linear punishment and nonlinear charge,
bilateral linear rewards and punishment and nonlinear charge,
unilateral nonlinear punishment and linear charge, bilateral nonlinear
rewards and punishment and approximate linear charge. This strategy
can dissolve the contradiction between charging class and power
supply-demand, which brought by the fixed class electricity price
mechanism dominated by the power sector. Finally, the principle and
algorithm of determining the expected power consumption is proposed
from the perspective of Stackelberg strategy. Meanwhile, the principle of
determining uses’ optimal electric activities and electricity price algorithm
is proposed.
SunAIS-45
Power Management and Control for Photovoltaic System Based on
SWOT Model
Xiaohong Ma
Hubei Univ. for Nationalities
Shaowu Li
Hubei Univ. for Nationalities
Qing Ai
Hubei Univ. for Nationalities
Kunyi Chen
Hubei Univ. for Nationalities
Dongshan Geng
Hubei Univ. for Nationalities
To optimize the power management and control for photovoltaic (PV)
system, in this paper, firstly, a structure of PV system is proposed.
Secondly, the power management and control of this system is analyzed
through strengths weaknesses opportunities threats (SWOT) matrix
model and coordinate model. Finally, some experiments are conducted
by MATLAB simulation to test weaknesses-opportunities (WO) and
strengths-threats (ST) strategies, and simulation results verify the
accuracy, feasibility and rationality of SWOT analysis.
SunAIS-46
Research on Meta-model of Driver Behavior in Agent-based Traffic
Evacuation Simulation
Shengcheng Yuan
Tsinghua Univ.
Yi Liu
Tsinghua Univ.
Gangqiao Wang
Tsinghua Univ.
Yi Liu
Tsinghua Univ.
Hui Zhang
Tsinghua Univ.
Driver behavior diversity affects traffic process greatly especially for the
traffic evacuation process. Taking the driver behavior diversity into
consideration, this paper developed a meta-model of driver behavior in
microscopic traffic evacuation simulation, named DGIT frame, which are
Decision, Game, Individual and Transform. DGIT frame integrates
heterogeneous models in different levels into a unified workflow. By using
this frame, driver behavior models can be coupled in various scenarios,
between different agents, during multi-period and within big data
resources. Based on integrating models with different structures or
functions, DGIT may describe driver behavior diversity satisfactorily. A
simulation system is developed in this paper with DGIT frame, and
comparison simulation experiments were performed. Simulation results
prove the capability of DGIT frame for describing diversity and evaluating
plan and decision strategy.
SunAIS-47
Coordinated Control of Traffic Flow in Complex-Arterial Networks
Under the Big Data Background
Feng Lin
Zhejiang Univ. of Tech.
Yuanjing Feng
Zhejiang Univ. of Tech.
Kang Li
Zhejiang Univ. of Tech.
Ming Zhang
Zhejiang Univ. of Tech.
Under the big data background, the massive traffic data provide the data
to improve traffic control methods and put forward higher requirements for
the accuracy of the traffic signal control. In this paper, we analysis the
influence on green wave tape by queue length of vehicles through
congestion data and sensor data on road, draw a queue dissipated model
and import it into MAXBAND model. Then present a complex-arterial
network mathematical programming model based on the improved
MAXBAND model. The complex-arterial networks mathematical
programming model can make all the intersectant arterials in the network
under green wave tape control. Simulate in vissim simulation software
with different vehicle flow data. The simulation results indicate that this
method can produce considerable gains in performance when compared
with traditional progression methods and traditional MAXBAND methods.
SunAIS-48
The Energy Efficiency Monitoring and Operation Optimization of
Central Air Conditioners
Yu Zhou
South China Univ. of Tech.
City Air-conditioning Energy Conservation and
Control Project Techn. Research Exploitation
Center of Guangdong
Junwei Yan
South China Univ. of Tech.
City Air-conditioning Energy Conservation and
Control Project Techn. Research Exploitation
Center of Guangdong
Haijie Lin
South China Univ. of Tech.
Book of Abstracts
City Air-conditioning Energy Conservation and
Control Project Techn. Research Exploitation
Center of Guangdong
An on-line monitoring technology of the central air conditioning energy
efficiency is presented. Based on this technology, a monitoring system is
designed. This system can achieve the real-time monitoring, optimization
and adjustment of the energy efficiency of central air conditioners.
Because of the improvement of the energy efficiency of central air
conditioners and the depression of user energy expenditure, this
technology has broad application prospects.
SunAIS-49
An Advanced Adaptive Backstepping Control Method for STATCOM
Chao Zhang
Xi’an Jiaotong Univ.
Aimin Zhang
Xi’an Jiaotong Univ.
Hang Zhang
Xi’an Jiaotong Univ.
Nan Wang
State Grid Shanxi Electric Power Company Econo
mic Research Institute
Zhigang Ren
Xi’an Jiaotong Univ.
Jingjing Huang
Xi’an Jiaotong Univ.
Yingsan Geng
Xi’an Jiaotong Univ.
An innovative approach to high robustness and anti-interference
performance for static synchronous compensator (STATCOM) control
systems is proposed to address the problems including parameter
uncertainties and external disturbances which often deteriorate system
performance significantly. Improvement is made in three aspects. Firstly,
the adaptive backstepping control has been adopted to design the
state-feedback control law and improve the transient stability of the
STATCOM recursively. Secondly, In order to reduce high degree of
coupling between the states and the estimation error, the adaptive law
and the state-feedback control law are designed separately by using the
immersion and invariance adaptive (I&I adaptive) control. Thirdly, the
dissipation inequality is constructed between energy storage function and
an energy supply function in each step. This can get a certificate
theoretically that the energy is dissipated and the robustness of the
control system. Moreover, the compared simulations show that more
rapid speed response and stronger robustness can be obtained by the
proposed approach than other advanced algorithms under the same
conditions.
SunAIS-50
Model Reference Adaptive Control Based on Lyapunov Stability
Theory
Minan Tang
Lanzhou University of Tech.
Lanzhou Jiaotong Univ.
Jie Cao
Lanzhou University of Tech.
Xiaoxiao Yang
Lanzhou University of Tech.
Xiaoming Wang
Lanzhou University of Tech.
Baohui Gu
Lanzhou Jiaotong Univ.
For the obvious characteristics of time-varying nonlinear controlled
object, in order to improve the control performance, the appropriate
adaptive control strategy could be used. Based on the research object
system of a certain amount of input to control variables, according to
Lyapunov stability theory, the research object system input/output
variable a model reference adaptive control system was designed. And
after analyzing the method of improving the system starting stage
characteristics,
dynamic
process
performance
and
system
anti-interference and resistance to process parameters is presented.
Simulation and research results show that the proposed control method is
effective.
SunB01
Process control (Chinese) (II)
Chair: Qiuxia Sun
CO-Chair: Yuyan Liu
Room11A
13:20-15:20
Shandong University of Science and
Tech.
North China Electric Power Univ.
13:20-13:40
SunB01-1
The Influence of Unknown Parameters in AR(2) Process to the
Control Chart’s Performance
Qiuxia Sun
Shandong University of Science and Tech.
Qisheng Gao
Qingdao Univ.
For the 2-order auto-regressive process with unknown parameters,
further analyses of the effect of the estimation of parameters to the
performance of control charts are provided. The influence of the process
parameter to the performance of control charts is obvious and the time
series process needs to be estimated, so the impact of parameters’
valuation is necessary to be analyzed. Some conclusions and the
transformation of the performance of control charts which arises from
parameters’ valuation are summarized by numerical results.
13:40-14:00
SunB01-2
The Structure and Parameters Optimization of ADRC for Steam
Generator Water Level
Yuyan Liu
North China Electric Power Univ.
Shiliang Zhou
North China Electric Power Univ.
Bing Song
Fujian Ningde Nuclear Power Company Limited
It is worse that steam generator is controlled by PID which is
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2014CCDC
non-minimum system with oscillation. ADRC achieves excellent control
performance using nonlinear control law, but it isn’t necessarily optimal
when adopting standard ADRC structure and NLSEF. In this paper, we
optimize the standard ADRC, the simplified ADRC without TD, the
improved ADRC with NLSEF using mtfal and zzxfal based on GA. The
simulation and performance analysis indicate that we should choose
ADRC without TD, with NLSEF using mtfal for SG water level control.
14:00-14:20
SunB01-3
Modified Internal Model Controller Design Based on OKID for
Multivariable System with Time Delays
Zhigang Zhou
Jiangnan Univ.
Linbo Xie
Jiangnan Univ.
Most industrial processes have multiple time delays and due to the
existence of these time delays and couplings within these systems, the
control performances are usually not satisfied. In this paper, a modified
internal model controller (MIMC) design procedure is employed to deal
with this obstacle based on a model discretization and simplification
method, together with a decoupling controller. First, the multivariable
system with time delays is decoupled into subsystems. Then, a model
reduction method of observer/Kalman filter identification (OKID) is used
to simplify the complicated subsystems, without involving the common
time delay factor. Based upon the discrete-time simplified models
obtained by OKID method, the modified internal model controllers are
designed to control the decoupled subsystems to track the set-point
values. Finally, simulation results of a chemical process are given to
illustrate the effectiveness of the proposed method.
14:20-14:40
SunB01-4
The principle and simulation research of a fast algorithm of
multivariable predictive control
Hao Pan
Chinese Academy of Scie.
University of Chinese Academy of Scie.
Yu Cao
Chinese Academy of Scie.
Tao Zou
Chinese Academy of Scie.
Haibin Yu
Chinese Academy of Scie.
Mingzhe Yuan
Chinese Academy of Scie.
The traditional control methods are not able to keep control performance
in a high level because response speed becomes more important for
industrial control. This paper presented a fast predictive control algorithm,
which was easy and simple to calculate and the principle of algorithm was
very clear and greatly improved the speed of response and calculation,
as well as demonstrated the principles of fast algorithms and operation
process of the algorithm. Finally, we analyzed the stability, dynamic
characteristics and steady state characteristics of system, and used
lead-lag correction link to improve the performance of system. The results
of simulation demonstrated that all of methods and improved algorithms
were feasibility.
14:40-15:00
SunB01-5
Sectional Optimization of Oxygen Content in Flue Gas Based on
PSO
Liwen Yang
Shanghai Jiao Tong Univ.
Jingcheng Wang
Shanghai Jiao Tong Univ.
Yuanhao Shi
Shanghai Jiao Tong Univ.
The optimization of the oxygen content in flue gas has a great impact on
the safe and economic operation of boiler combustion system. With the
model of BP neural network, the optimization of the oxygen content in flue
gas is operated based on PSO, while the optimization settings are
different under different load segments. The efficiency of the algorithm is
proved by validation results of historical data.
15:00-15:20
SunB01-6
Research on Calibration Method of Infrared Test Equipment
(Calibration Method of Infrared Radiometer and Infrared Thermal
Imager)
Wei Guan
Shenyang Aerospace Univ.
Ling Guo
Shenyang Aerospace Univ.
Li Fu
Shenyang Aerospace Univ.
Infrared measuring device is a device used for infrared radiation
characteristic measurement. It is widely applied to each field of the
military, industrial, medical, agriculture and forestry in our production life.
The calibration of infrared measuring equipment directly affects the
system error and the test precision of the instrument, so establish the
feasible and effective calibration method, has become a work that can't
be ignored. In this paper, the calibration method of infrared measuring
equipment were systematically reviewed, and analyzed the advantages
and disadvantages of various calibration method; Summarizes the
difficulties in calibration process; Finally draws the conclusion, that is the
future development direction of this technology.
SunB02
Sensor network systems (I)
Chair: Ying Zhang
CO-Chair: Weirong Liu
Room6A
13:20-15:20
Shanghai Maritime Univ.
Central South Univ.
Hunan Engineering Laboratory for Adanc
ed Control and Intelligent Automation Cha
ngsha
Book of Abstracts
13:20-13:40
SunB02-1
Energy-Efficient Sensor Scheduling Scheme for Target Tracking in
Wireless Sensor Networks
Jianming Xiao
Central South Univ.
Hunan Engineering Laboratory for Advanced
Control and Intelligent Automation Changsha
Weirong Liu
Central South Univ.
Hunan Engineering Laboratory for Advanced
Control and Intelligent Automation Changsha
Yun He
Central South Univ.
Gaorong Qin
Central South Univ.
Hunan Engineering Laboratory for Advanced
Control and Intelligent Automation Changsha
Although prolonging network life time in target tracking has been
extensively studied in the literature of wireless sensor networks, the
problem of energy efficiency with well tracking performance is still an
open issue. In lots of exited works about target tracking in WSN, energy
cost and uniform sampling interval was taken into consideration. While it
ignored the remaining energy selected sensors as well as the changing of
the target dynamic. In this paper, a target tracking scheme based on
minimizing the ratio between the total energy cost and the remaining
energy and maximizing the sampling interval is proposed. It contains two
parts: the target sensing based on the Kalman-Consensus filer that active
sensors receive/broadcast information with its active neighbors and
estimate the position of target, the sensors scheduling scheme that
selecting the tasking sensors by a predicted objective function. In this
function, the tradeoff between tracking performance and network energy
costs is obtained. Simulation results show its better performance in target
tracking.
13:40-14:00
SunB02-2
On Deployment Optimization Strategy for Hybrid Wireless Sensor
Networks
Ying Zhang
Shanghai Maritime Univ.
Wei Zhao
Shanghai Maritime Univ.
For a hybrid sensor network constructing with static nodes and mobile
nodes, adjusting the position of the mobile nodes can improve network
coverage and target detection rate effectively. In this paper, we present
the “Bidding” protocol based on probability detection model, and then
propose a distributed covering algorithm DPFA (Distributed Potential
Field Algorithm) for hybrid wireless sensor network based on artificial
potential field. The coverage holes generate a gravitational field, which
generates a virtual force to determine the mobile node’s motion paths.
Simulation results show that DPFA algorithm significantly increase the
effective coverage of the network compared to the “Bidding” protocol.
14:00-14:20
SunB02-3
An Efficient and Hybrid Key Management for Heterogeneous
Wireless Sensor Networks
Ying Zhang
Shanghai Maritime Univ.
Pengfei Ji
Shanghai Maritime Univ.
Key management is the core to ensure the communication security of
wireless sensor network. How to establish efficient key management in
wireless sensor networks (WSN) is a challenging problem for the
constrained energy, memory, and computational capabilities of the
sensor nodes. Previous research on sensor network security mainly
considers homogeneous sensor networks with symmetric key
cryptography. Recent researches have shown that using asymmetric key
cryptography in heterogeneous sensor networks (HSN) can improve
network performance, such as connectivity, resilience, etc. Considering
the advantages and disadvantages of symmetric key cryptography and
asymmetric key cryptography, the paper propose an efficient and hybrid
key management method for heterogeneous wireless sensor
network ,cluster heads and base stations use public key encryption
method based on elliptic curve cryptography (ECC), while using
symmetric encryption method between adjacent nodes in the cluster. The
analysis and simulation results show that the proposed key management
method can provide better security, prefect scalability and connectivity
with saving on storage space.
14:20-14:40
SunB02-4
Joint Sleep Scheduling and Opportunistic Transmission in Wireless
Body Area Networks
Hong Li
Shanghai Jiao Tong Univ.
Bo Yang
Shanghai Jiao Tong Univ.
Cyber Joint Innovation Center
Wenbin Yu
Shanghai Jiao Tong Univ.
Xinping Guan
Shanghai Jiao Tong Univ.
Cyber Joint Innovation Center
Xiaohui Gong
Shanghai Children’s Hospital
Guangjun Yu
Shanghai Children’s Hospital
E-healthcare systems of Wireless Body Area Network (WBAN) promise
enormous change in future healthcare industry. The system generally
consists of multiple sensor nodes that monitor various medical signals
and deliver data to a network coordinator for further processing. One of
the major issues of such systems is energy efficiency, owing to the limited
power supply and difficult replacement of batteries in some implanted
sensors. Hence, developing an energy-efficient scheduling policy to
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2014CCDC
prolong sensors’ lifetime brings great significance to a WBAN. In this
paper, we investigate the problem with Lyapunov optimization technique
and propose a dynamic scheduling policy including sleep scheduling and
opportunistic transmission, which takes into account time-varying
channel condition. We demonstrate that our policy can push the energy
consumption arbitrarily close to the global minimum solution while
sustaining the network stability.
14:40-15:00
SunB02-5
Ring-Based Security Energy-Efficient Routing Protocol for WSN
Mengyao Liu
Northeastern Univ.
Yanyan Zhang
Northeastern Univ.
Xia Li
Northeastern Univ.
Wireless sensor network is typically used to detect and monitor various
types of objects in real-time monitoring area in which security is one
major challenge. Evaluation of nodes’ trust is proven to be an effective
solution of improving security, supporting decision-making and nodes
collaboration in both wired and wireless networks. However, existing
approaches of trust management emphasize mostly on trust modeling
and overlook the overhead issues. This paper presents a new lightweight
trust evaluation algorithm with high reliability and ring-based clustering
algorithm. On the combination of that and the inter-clusters routing
algorithm, a security energy-efficient cluster-routing protocol is formed.
The simulation shows that the proposed scheme not only provides
robustness against malicious and selfish nodes and more reliable data
delivery, but also balances the overall network energy consumption,
delays dead time of the sensor node, under the premise of the sacrifice
acceptable overhead.
15:00-15:20
SunB02-6
Sensor Scheduling Based on Predicion
Dongmei Yan
Northeastern Univ. at Qinhuangdao
Aiming at the construction and reconstruction of dynamic cluster for
target tracking with wireless sensor network, a sensor Scheduling target
tracking-oriented algorithm based on prediction is proposed in this thesis,
in which construction and reconstruction of dynamic cluster depends on
prediction of nodes’ location. Selection of cluster head is achieved by
weighted algorithm considering residual energy and geographic position
or other parameters. The extended kalman filter is utilized to predict the
trajectories of target in this paper and accuracy of target tracking is
improved by cooperation in nodes.
SunB03
Identification and estimation (I)
Chair: Wenzhong Gao
CO-Chair: Linru You
Room7A
13:20-15:20
Univ. of Denver
South China Univ. of Tech.
13:20-13:40
SunB03-1
GNSS Coverage Performance for Medium-High Earth Orbital
Satellites
Xiaofang Zhao
Institute of Spacecraft System Engineering
Haihong Wang
Institute of Spacecraft System Engineering
Xiangjun Wu
Institute of Spacecraft System Engineering
Jie Wang
Institute of Spacecraft System Engineering
Zhonggui Chen
Institute of Spacecraft System Engineering
With the launching activities of spacecrafts, there come the increased
demands of autonomous navigation of those medium-high Earth orbital
satellites. Now the application of satellite navigation system is mainly on
LEO satellite, its application on the medium-high Earth orbital satellites
has to be further explored. The navigation of GEO satellites is essentially
one kind of parameter estimation and in this paper the feasibility of GEO
satellites’ navigation based on GNSS was explored. In this article the
coverage analysis was done to answering the feasibility of the application
of GNSS for those satellites. Besides, the observation geometry of GEO
satellites based on GNSS was also considered. Those results could be a
reference for those high orbit satellites’ navigation based on satellite
navigation system.
13:40-14:00
SunB03-2
Multi-Objective Robust H ∞ Observer Design for One-Sided
Lipschitz Nonlinear Uncertain Systems
Muhammad Abid
Pakistan Institute of Engineering and Applied
Scie.
Muhammad Shoaib
Pakistan Institute of Engineering and Applied
Scie.
Abdul Qayyum Khan Pakistan Institute of Engineering and Applied
Scie.
In this paper, the problem of robust H∞ observer design for one-sided
Lipschitz nonlinear systems in the presence of time-varying parametric
uncertainties is addressed. The main idea is to minimize the L2 gain from
the disturbance to the state estimation error and at the same time the
admissible one-sided Lipschitz constant is to be maximized. In addition to
asymptotic convergence, the designed observer also ensures robustness
against disturbances, parametric uncertainties and additive one-sided
Lipschitz nonlinear uncertainty. The solution is represented in terms of
LMIs which enables us to carry out the design procedure using Matlab
LMI toolbox making the nonlinear observer design an easy task.
Book of Abstracts
14:00-14:20
SunB03-3
Integrated Modeling for Gas Mixing Process Based on Mechanism
and Subspace Identification
Yuan Cao
Central South Univ.
Institute of Advanced Control and Intelligent
Automation
Weihua Cao
Central South Univ.
Institute of Advanced Control and Intelligent
Automation
Yan Yuan
Central South Univ.
Institute of Advanced Control and Intelligent
Automation
Min Wu
Central South Univ.
Institute of Advanced Control and Intelligent
Automation
Yongyue Zhang
Central South Univ.
Institute of Advanced Control and Intelligent
Automation
According to the features of gas mixing process, an integrated modeling
method based on mechanism and subspace is proposed in this paper.
First, on the basis of analyzing mechanism characteristics and process
data, the mechanism models of the gas flow of blast furnace and coke
oven are acquired through applying butterfly valve flow characteristic
formula. Then, subspace identification method is used to set up a 4-input
and 1-output identification model for pressure of mixed gas. At last,
through analyzing the relation among the variables of each sub-model,
the mechanism model of gas flow and subspace pressure model are
integrated. The simulation results verify the effectiveness and precision of
the integrated model, and the characters of gas mixing process can be
reflected. The study has definite significance of practical application.
14:20-14:40
SunB03-4
Dynamic Model and Parameters Identification of Piezoelectric Stack
Actuators
Peidong Li
Chongqing Univ.
Jie Fu
Chongqing Univ.
Yuan Wang
Chongqing Univ.
Zhiwei Xing
Chongqing Univ.
Miao Yu
Chongqing Univ.
Based on the constitutive equations of piezoelectric materials, the
dynamic model of the piezoelectric stack actuators is derived.
Subsequently, experimental setup for the dynamic characteristics
measurement is established. Parameters such as voltage-displacement
coefficient, stiffness and damping constant are identified from the
experimental results by the principle of piezoelectric effect and classic
automatic control theory. The effectiveness of the identification results is
then verified through comparing the experimental and simulation results
of step response. In addition, the influences of different parameters on
the dynamic characteristics of the actuators are investigated by MATLAB
simulation, which provides a basis for the piezoelectric stack actuators
design and selection in practical applications. Finally, the dynamic model
is applied to the analysis of the hybrid vibration isolator.
14:40-15:00
SunB03-5
Stochastic Gradient Algorithm for State Space System with d-step
Delay
Ya Gu
Jiangnan Univ.
Rui Ding
Jiangnan Univ.
This paper researches parameter and state estimation problems for linear
systems with d-step delay. Combining the linear transformation and the
property of the shift operator, the canonical state space model with d-step
delay is transformed into an identification model. The stochastic gradient
algorithm is raised to identify the parameter vectors. Finally, an example
is presented to validate the given algorithms.
15:00-15:20
SunB03-6
Motion Simulation and Analysis during Initial Rotor Position
Identification for PMSM Based on High Frequency Voltage Injection
Zhaobin Huang
South China Univ. of Tech.
Linru You
South China Univ. of Tech.
Zhaodong Wang
South China Univ. of Tech.
Two classical high frequency voltage injection methods based on
saliency-tracking were introduced for initial rotor position identification in
permanent magnet synchronous motors (PMSMs): high frequency
rotating voltage (HFRV) injection and high frequency pulsating voltage
(HFPV) injection. However, the injected voltage resulted in rotor
movement, which was not allowed in some high accuracy applications.
This paper studied the torque response during rotor position detection
and proposed the rotor standstill boFundary conditions for both methods
that the maximum torque must be below the static friction. Then a free
motion simulation neglecting the rotor friction and another dumped
motion simulation considering Stribeck friction were carried out on a
salient PMSM for both methods. According to the simulation results, the
motion issues, such as the rotor displacement and speed, the rotor
position estimated error and steady-state vibration, were contrastively
investigated by comparing the HFRV injection method with the HFPV
injection method and contrasting the free motion with the dumped motion.
Simultaneously, theory analysis had been carried on to interpret these
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2014CCDC
simulation conclusions and the approaches to reduce rotor motion were
presented.
SunB04
Discrete event systems
Chair: Chao Lu
CO-Chair: Liang Feng
Room7B
13:20-15:20
Northeastern Univ.
Nankai Univ.
13:20-13:40
SunB04-1
Hybrid Model of Multi-agent and DEDS for Steelmaking-Continuous
Casting-Hot Rolling Manufacturing Process Simulation
Duan Xu
Shanghai Baosight Software Limited Company
Chao Lu
Northeastern Univ.
Wei Zhou
Shanghai Baosight Software Limited Company
Shixin Liu
Northeastern Univ.
The planning and scheduling problems of steelmaking-continuous
casting-hot rolling (SCH) manufacturing process are hard to solve with
traditional optimization approaches. As for the limitation of human ability,
manual plans and schedules can not guarantee quality, robustness and
material balance between processes. With the rapid development of
computer simulation theories and virtual reality technologies, computer
simulation has been becoming an effective method for solving complex
problems and evaluating complex systems. Computer simulation system
of SCH manufacturing process can be used for evaluating quality and
robustness of plans and schedules in order to find the weakness and
bottleneck in the manufacturing process before they are released. In this
paper, a hybrid simulation model of multi-agent and discrete event
dynamic system (DEDS) for SCH manufacturing process is proposed.
The general simulation procedure and computer simulation system
framework based on the hybrid model are presented. The structure,
attributes, functions, interfaces, communication protocols and negotiation
mechanism of different types of agent are defined. Based on the hybrid
simulation model, a computer simulation system for SCH manufacturing
process is developed in C++ language. The results of simulation
experiments using practical production data of a Chinese steel plant
show that the simulation model and the simulation system are valid and
efficient.
13:40-14:00
SunB04-2
Autonomy and Coordination Mechanism in Virtual Production
Systems
Liang Feng
Nankai Univ.
In recent years, Virtual Production Systems (VPSs), which construct new
manufacturing systems in response to changing market dynamics, have
attracted considerable attention. Especially the control mechanism of
VPSs has been of significant important. A control architecture based on
multi-agent technology is built to support the control mechanism to
schedule tasks and resources in VPSs, which is based on multi-agent
technology and composed of order agent, coordination agent, task agent
and resource agent. To optimize the productivity on the premise that the
tasks can be completed on time, the autonomy and coordination
mechanism is applied to coordinating and scheduling the requests from
different tasks and resources, which is based on the contract net protocol.
14:00-14:20
SunB04-3
Consensus of double-integrator discrete-time multi-agent system
based on second-order neighbors’ information
Huan Pan
Ningxia Univ.
Wenjuan Qiao
Ningxia Univ.
The consensus of double-integrator discrete-time multi-agent system is
studied based on the second-order neighbors’ information in this paper.
The comparison between the convergence rate of second-order neighbor
protocol and the one of general protocol is analyzed. Considering there
exists delay in communication, the consensus condition of
double-integrator discrete-time multi-agent system with delay is derived
by using LMI. Numerical examples are given to illustrate the effectiveness
of the proposed methods.
14:20-14:40
SunB04-4
Partial Stability of Probabilistic Boolean network
Zhiqiang Li
Henan Univ. of Economics and Law
Jinli Song
Henan Univ. of Economics and Law
Jian Yang
Henan Vocational and Technical Coll. of
Communications
In this paper, the uniform stability in one part of the variables for
probabilistic Boolean networks is discussed. Firstly, definition of partial
stability of probabilistic Boolean networks is introduced. Using
semi-tensor product, the probabilistic Boolean network is converted to its
algebraic form. From the algebraic form of probabilistic Boolean network,
necessary conditions are obtained from the structure matrix of
probabilistic Boolean network and the condition is based on reachability
matrix of probabilistic Boolean network. Hence the necessary condition is
straightforward verifiable. At last, a numerical example is provided to
demonstrate the corresponding results.
14:40-15:00
SunB04-5
Book of Abstracts
Asymptotic Behavior of Sampling Zero Dynamics for a 3-DOF
Tandem-Rotor Model Helicopter
Shan Liang
Chongqing Univ.
Cheng Zeng
Chongqing Univ.
Guiyang univ.
Jiaqi Zhong
Chongqing Univ.
Yongsheng Sun
Chongqing Univ.
This paper derives an approximate discrete-time model for a nonlinear
3-DOF (degree-of-freedom) tandem-rotor model helicopter in the case of
the multirate input and hold, which is accurate to some order in the
sampling period. More importantly, the proposed model has more
accurate than the classic Euler approximation. We also show how a
particular strategy can be used to approximate the system outputs and its
derivatives in such a way as to obtain a local truncation errors, between
the outputs of the resulting sampled-data model and the true
continuous-time system outputs, of order T5, where T is the sampling
period. An insight interpretation of the obtained sampled-data model can
be made in terms of sampling zero dynamics, and their explicit
characterization are also given. Moreover, we show a condition which
assures the stability of the sampling zero dynamics for the resulting
model helicopter.
15:00-15:20
SunB04-6
Using p-invariants to transform inadmissible constraints into
admissible constraints
S.M. Saeed Damadi
Amirkabir University of Technology
Ali Doustmohammdi
Amirkabir University of Technology
Ahmad Afshar
Amirkabir University of Technology
In this paper we propose a new approach that not only enforces the
admissible constraints but also transforms inadmissible constraints into
admissible ones. This approach is based on an efficient method that
constructs new p-invariants. Through this method dealing with transitions
is more convenience because creating new p-invariants in this way
utilizes transitions to create a new p-invariant. Therefore, designers are
easily able to deal with transitions including uncontrollable or
unobservable transitions. Constructing p-invariants will be executed by
introducing one theorem and two lemmas; besides, by taking advantages
of this theorem and two lemmas a complementary lemma will be
established to show when a maximal permissive controller would exist.
Finally, we propose a new algorithm which uses the theorem and lemmas
to transform inadmissible constraints into admissible ones. In contrast to
other methods, this algorithm which we call it”transforming algorithm” can
easily transform inadmissible constraints into admissible constraints
without needing to solve an integer linear programming (ILP) problem.
The correctness of this algorithm will be evaluated through an example,
and result shows that transforming inadmissible constraints into
admissible ones using this method dose not need solving an integer
linear programming and requires less computation to implement a proper
controller.
SunB05
Networked control systems (I)
Chair: Nan Xiao
CO-Chair: Zhou Gu
Room8A
13:20-15:20
East China Univ. of Scie. and Tech.
Nanjing Forestry Univ.
13:20-13:40
SunB05-1
Stabilization of LTI Systems over Finite-State Fading Channels
Nan Xiao
East China Univ. of Scie. and Tech.
Yugang Niu
East China Univ. of Scie. and Tech.
Lihua Xie
Nanyang Tech. Univ
This paper considers the state feedback stabilization over finite-state
fading channels, where the stochastic characteristic of time-varying
fading channels is assumed to be driven by a finite-state random process.
The finite-state process is used to represent different channel fading
amplitudes and/or to model different configurations of the overall physical
environment. Necessary and sufficient conditions are given for
stabilization over finite-state Markov fading channels. In the case of
finite-state i.i.d. fading channels, explicit network requirements for
stabilization are presented for both single-input case and multi-input
case. Our results cover some existing results as special cases.
13:40-14:00
SunB05-2
Gain-scheduled H ∞ control for networked superheated steam
temperature
Baochun Zhuang
Nanjing Forestry Univ.
Guangtao Shi
Nanjing Forestry Univ.
Zhou Gu
Nanjing Forestry Univ.
This paper investigates the gain-scheduled problem of the networked
control for a superheated steam temperature system with consideration
of the network QoS. The designed gain-scheduled controller is based on
the network QoS, and thus is less conservative than the conventional
controller with constant gains. A network data-transmitting mechanism is
constructed, in which the variation of the sampling data and the network
QoS are comprehensively considered. Based on the proposed
comprehensive model for network-based superheated steam
temperature control systems, the H∞ controllers within the framework of
cascade control strategy are designed in terms of linear matrix inequities,
which guarantee the requirement of H∞ performance criterion. Finally, a
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2014CCDC
superheated steam system model is used to demonstrate the
effectiveness of the proposed design procedures.
14:00-14:20
SunB05-3
H∞ Control for Multi-rate Networked Control Systems with both
Time-delay and Packet-dropout
Qixin Zhu
Suzhou Univ. of Scie. and Tech.
East China Jiaotong Univ.
Binbin Xie
East China Jiaotong Univ.
Yonghong Zhu
Jingdezhen Ceramic Inst.
The issue of H infinite control for multi-rate networked control systems
(NCSs) with both time-delay and packet-dropout is discussed in this
paper. Compared with traditional NCSs, the sampling periods of the
nodes in multi-rate NCSs are different. Based on Markov theory, a new
approach is proposed to convert the multi-rate NCSs into a non-uniform
sampling system. A stochastic mean-square sate feedback controller of
the multi-rate NCSs is given. Two examples are given to verify the theory
results of this paper.
14:20-14:40
SunB05-4
Quantized Control for Networked Control Systems with
Communication Delay and Packet Dropouts
Chong Jiang
Shenyang Sports Univ.
This paper is concerned with the problem of quantized ∞ H control for
discrete-time networked control systems (NCSs) with random
communication delays and packet dropouts. By choosing appropriate
Lyapunov functional, sufficient conditions for the existence of quantized
∞ H controller is derived, such that the closed-loop discrete-time
networked control systems is robustly asymptotically mean-square stable
and preserves a guaranteed ∞ H performance. An improved design
criterion for quantized ∞ H controller is formulated in the form of
nonconvex matrix inequalities, and the cone complementary linearization
(CCL) procedure is exploited to solve the nonconvex feasibility problem.
Finally, a numerical example is given to show the effectiveness of the
proposed method.
14:40-15:00
SunB05-5
Fuzzy-Model-Based Robust Stability of Nonlinear Networked
Control Systems with Input Missing
Xiangyang Jia
Guangdong Univ. of Tech.
Bin Tang
Guangdong Univ. of Tech.
Defeng He
Guangdong Univ. of Tech.
Shiguo Peng
Guangdong Univ. of Tech.
This paper is concerned with fuzzy-model based robust stability of
nonlinear networked control systems (NCSs) with time-varying
transmission delays, transmission intervals and input missing based on a
random-delay approach. The real-time distribution of input delays
resulting from transmission delays and intervals is modeled as a
dependent and nonidentically distributed process, and the occurrence of
input missing is represented as a Bernoulli process. Then a randomly
switched Takagi-Sugeno fuzzy system with multiple input-delay
subsystems is proposed to model the nonlinear NCSs. Based on an
improved Lyapunov-Krasovskii method, which takes into account the
real-time distribution of input delays in estimating cross-product integral
terms, new sufficient conditions are derived for the mean-square robust
exponential stability of the overall systems. Numerical examples are
presented to substantiate the effectiveness of our results.
15:00-15:20
SunB05-6
Adaptive Fuzzy Coordinated Tracking Control of Networked
Unknown Lagrange Systems
Gang Chen
Chongqing Univ.
E’ning Feng
Chongqing Univ.
Qing Lin
Chongqing Univ.
Rui Ling
Chongqing Univ.
This paper investigates the cooperative tracking control problem for
networked uncertain Lagrange systems on digraphs. By using the
universal approximation capability of fuzzy logic systems, a distributed
adaptive fuzzy tracking control protocol is proposed. Based on graph
theory and Lyapunov theory, the convergence analysis for the proposed
algorithm is provided. The development in this paper is suitable for the
general directed communication topology, which is only required to have
a spanning tree. Experimental results of distributed adaptive fuzzy control
are demonstrated on a multi-robot platform to validate the effectiveness
of the proposed algorithms.
SunB06
Signal processing (I)
Chair: Wei Xie
CO-Chair: Hongjian Zhang
Room8B
13:20-15:20
South China Univ. of Tech.
Air Force Military Representative Office
in Shanghai Area.
13:20-13:40
SunB06-1
Overview on Image Super Resolution Reconstruction
Ziwei Lu
Northeastern Univ.
And Liaoning Shihua Univ.
Chengdong Wu
Northeastern Univ.
Book of Abstracts
Dongyue Chen
Yuanchen Qi
Chunping Wei
Northeastern Univ.
Northeastern Univ.
Shengli Oil Field Research of New District in
West China
Image super resolution (SR) reconstruction technique is receiving
increasing attention from the image processing community, and it has
been widely used in many applications such as remote sensing image,
medical image, video surveillance and high definition television. The
essential of image SR reconstruction technique is how to produce a
clearly high resolution (HR) image from the information of one or several
low resolution (LR) images. Firstly, the fundamental idea of
representative methods, the history and state of art of super resolution
reconstruction are stated briefly according to the classification between
the reconstruction based method and the learning based method.
Secondly, advantages and defects of each methods are analyzed and
summarized systematically, as well as the limitation exist in general
ability. Finally, the further research directions of image super resolution
reconstruction technique are proposed.
13:40-14:00
SunB06-2
A Robust Object Tracking Method Based on Sparse Representation
Yuanchen Qi
Northeastern Univ.
Chengdong Wu
Northeastern Univ.
Dongyue Chen
Northeastern Univ.
Ziwei Lu
Northeastern Univ.
While much progress has been made for object tracking in recent years, it
is still a challenging problem to handle large change in motion,
appearance, scale and pose variation. One of the main reasons is the
lack of effective representation to account for appearance variation. For
this issue a flexible method based on superpixel segmentation is applied
to divide an image into several patches. Besides, under the framework of
sparse code a discriminative model based on superpixel is proposed.
Experimental results show that our method tracks the object accurately
and reliably in realistic videos where the appearance and motion are
drastically changing overtime.
14:00-14:20
SunB06-3
Adaptive Fractional Differential Algorithm Based on Otsu Standard
Bo Li
South China Univ. of Tech.
Wei Xie
South China Univ. of Tech.
Towards the situation that the traditional fractional difference always has
the same order in various regions of image for image processing, this
paper presents a novel approach that the fractional order is automatically
adjusted according to the gradient of every image pixels. The main
contribution of this work is that Otsu algorithm is used to design the
adaptive image enhancement operator, and calculate the maximum
gradient of eight directions for every pixls of image, finally, the optimal
threshold of image can be calculated by the novel method, which can
clearly distinguish the strong edge pixels of image, the texture of image
and the smooth region of image. Information entropy and average
gradient are used for quantitative analysis and experimental verification.
Compared with traditional fractional differential method, the results show
that this presented method can not only obtain more edge information,
but also reserve texture. It provides an effective method of image
enhancement.
14:20-14:40
SunB06-4
Multisensor Multitarget Tracking Based on a Matrix Reformulation
of the GM-PHD Filter
Hongjian Zhang
Air Force Military Representative Office in Sh
anghai Area.
Yuewu Zhang
Air Force Military Representative Office in Sh
anghai Area.
Bei Ye
Air Force Military Representative Office in Sh
anghai Area.
Jin Wang
Air Force Military Representative Office in Sh
anghai Area.
The Probability Hypothesis Density (PHD) filter is a more tractable
alternative to the Random Finite Set (RFS) based optimal multitarget
Bayes recursion. In this paper, a matrix reformulation of the Gaussian
Mixture PHD (GM-PHD) filter is introduced. Thus a new multisensor
GM-PHD filter is constructed based on the matrix reformulation.
Simulation results show it can be used in some applications when the
sequential GM-PHD filter fails, and outperforms the sequential GM-PHD
filter when those sensors have poor detection probabilities.
14:40-15:00
SunB06-5
Image Feature Detection Based on Phase Congruency by
Monogenic Filters
Lijuan Wang
Kunming Univ. of Scie. and Tech.
Changsheng Zhang
Kunming Univ. of Scie. and Tech.
Ziyu Liu
Kunming Univ. of Scie. and Tech.
Bin Sun
Kunming Univ. of Scie. and Tech.
Haiyong Tian
Shu Ye Tech. Co.Ltd
The image brightness and contrast changes remain invariant when phase
congruency changes. Specifically the monogenic filters, a new image
feature detection method is proposed, which is based on phase
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2014CCDC
congruency and the monogenic signal theory in this paper. The
performances of Monogenic filters are excelled to that of Log-Gabor
filters in theory, hence a greater amount of feature vectors are generated.
Compared with the Log-Gabor filters, the most important advantage of
Monogenic filters is that it performances with lower time and smaller
memory space. The experimental result indicates that image features
with Monogenic filters can not only overcome the limitations of Log-Gabor
filters, but also improve the location accuracy and anti-noise ability with
comparable or better performance.
15:00-15:20
SunB06-6
State-machine-based filtering method for vehicle speed detection
Jian-qun Wang
Beijing Institute of Tech.
Qing-yang Wu
Beijing Institute of Tech.
Ning Cao
Beijing Institute of Tech.
High frequency burr in the pulse signal is one of the most important
reasons to affect the detection accuracy and reliability of signal. This
paper puts forward a real-time filtering method based on State Machine,
and gives a speed detection method, which has been successfully
applied to military vehicle speed detection. In order to realize filtering, the
State Machine, using CPLD as hardware and driven by high frequency
clock, detects transient signal, and then filters out the short pulse and
outputs the wide pulse. This paper describes in detail the principle of
filtering method based on State Machine, and analyses the filtering
characteristic as well. By simulating its application on square signal, we
discuss its feasibility and the influence of filtering width.
SunB07
Control applications (II)
Chair: Yan Ji
CO-Chair: Xin Wang
Room9A
13:20-15:20
Jilin Univ.
Hunan University of Technology
13:20-13:40
SunB07-1
Integrated Control of Active Front Steering and Direct Yaw Moment
Based on Model Predictive Control
Yan Ji
Jilin Univ.
Hongyan Guo
Jilin Univ.
Hong Chen
Jilin Univ.
For further enhancing vehicle handling stability and improving the ESP’s
deficiency of causing undesired longitudinal decelerations, an integrated
control of the active steering and direct yaw moment (DYC) is proposed.
A new formulation of the bicycle model which adds the additional front
wheel angle and yaw moment is introduced. And the model predictive
control method is used to design the integrated controller. Finally, this
paper investigates the effectiveness of integrated control system in the
standard double lane change condition. The simulation results show that
the proposed integrated control is able to enhance the yaw stability and
reduce the longitudinal velocity fluctuations.
13:40-14:00
SunB07-2
Nonlinear Fuzzy Supervisory Predictive Control Based on Genetic
Algorithm
Suzhen Li
North China Electric Power Univ.
Xiangjie Liu
North China Electric Power Univ.
Gang Yuan
ZhongXing Hydraulic Parts Co.Ltd.
Fuzzy supervisory predictive control based on genetic algorithm
optimization is proposed. For the nonlinear model, through a general
objective function dynamically optimized to determine the optimal
set-point for a given regulatory level, by using genetic algorithm in order
to solve the nonlinear optimization problem for the setpoint, and
compared with the supervisory predictive control based on linear model
and nonlinear model. Simulation results show the proposed algorithm has
better control performance.
14:00-14:20
SunB07-3
Stability and bifurcation analysis of a Lotka-Volterra time delayed
system
Sreelakshmi Manjunath
Indian Institute of Tech.Madras
Gaurav Raina
Indian Institute of Tech.Madras
Models that describe interactions between species are often used to
study the dynamics of populations in an ecosystem. In this paper we
focus on one such model, i.e. a time delayed version of the Lotka-Volterra
dynamical system. In particular, we study the effects of time delays in, (i)
the interspecies interactions and, (ii) the carrying capacity of the prey
population, on the system dynamics. In these two cases, we first perform
a local stability analysis, where we derive the necessary and sufficient
condition for stability. It is shown that, as the time delay is varied, the
system loses stability in the first case and exhibits a finite number of
stability switches in the second case. We then explicitly show that the loss
of stability, in the first case, happens through a Hopf bifurcation. Further,
using Poincar´e normal forms and center manifold theorem, we analyse
the type of the Hopf bifurcation. To complement our analysis, stability
charts and bifurcation diagrams are also presented.
14:20-14:40
SunB07-4
Vector Control of Three-phase Voltage Source PWM Rectifier Based
on Fractional-order Controller
Book of Abstracts
Chaojun Wu
Xi’an Jiaotong Univ.
Yanbin Zhang
Xi’an Jiaotong Univ.
In this paper, the dual closed-loop vector control of the three-phase
voltage source pulse-width modulated (PWM) rectifier based on
fractional-order controller is studied. The classical proportional integral
(PI) controller is used in the inner current loop. The feed-forward
decoupling control method is established to regulate active currents and
reactive currents. In this way, a power factor of the system is close to one.
The fractional-order controller is used in the outer voltage loop to stable
the direct current (DC) output voltage. It can enhance the robustness of
the system, weaken impacts from the load disturbance and the grid
disturbance to the output characteristics of the system, and ensure that
the DCvoltage remains stable with the parameters changing. Correction
method which combining the frequency-domain analysis and flat phase
condition is used to tuning the fractional-order controller. Through
theoretical analysis and simulation research, we proved that the method
enhances the immunity and robustness of the system. With the virtue of
faster respond and less overshoot, it can get better control effectiveness.
14:40-15:00
SunB07-5
Nonlinear Model Predictive Control based on T-S Fuzzy model for a
PWR Nuclear Power Plant
Mengyue Wang
North China Electric Power Univ.
X.J.Liu
North China Electric Power Univ.
A new approach for power and temperature control in pressurized water
reactor (PWR) nuclear power plant using nonlinear model predictive
control (MPC) based on T-S fuzzy model is presented. MPC is possibly
the only advanced control scheme able to deal with constraints, namely, it
can regulate and control system variables within the pre-defined ranges.
Nevertheless, it is limited for its theoretical derivation based on linear
models. T-S fuzzy modeling method is used for approximating the
nonlinear system by local linear models, based on which the nonlinear
MPC controller is devised via parallel distributed compensation (PDC)
scheme in order to solve the nonlinearity and the constraint problems.
The proposed controller presents much better performance than the
conventional PID controller in the simulation.
15:00-15:20
SunB07-6
Stability and Hopf bifurcation analysis of the Mackey-Glass and
Lasota equations
Sreelakshmi Manjunath
Indian Institue of Tech. Madras
Gaurav Raina
Indian Institue of Tech. Madras
Time delays are an integral part of various physiological processes. In
this paper, we analyse two modelsfor physiological systems: the
Mackey-Glass and Lasota equations. We first exhibit a sufficient
condition to ensurelocal stability, and then outline the associated
necessary and sufficient condition for stability. Using a
non-dimensionalbifurcation parameter, we then highlight that stability will
be lost via a Hopf bifurcation. We also explicitly characterize the type of
the Hopf bifurcation using Poincare normal forms and the center manifold
theory. The theoretical analysis is complemented with some numerical
examples, stability charts and bifurcation diagrams.
SunB08
Intelligent automation
Chair: Xiang Lu
CO-Chair: Rui Xu
Room9B
13:20-15:20
Civil Aviation Univ. of China
Beijing Institute of Tech.
2014CCDC
structure, coupling constraints, and parallel computing were considered.
This paper used a method based on status and timeline to describe the
deep space exploration domain knowledge, proposed a mission planning
method based on multiple constraints satisfaction to realize the automatic
generation of the on-boardattitude maneuver missions. Including several
kinds of geometrical constraints, dynamic constraints, and kinematic
constraints, the constraints existing in the attitude maneuver process of
an explorer has been considered and an attitude maneuver planning
approach was used，which guaranteed the safety of the explorer system
in the maneuver. Mission consequences could be generated from the
mission planning approach as the high level commands for the attitude
controlling system on-board, which could guide the attitude controlling
system to complete the attitude maneuver missions automatically and
safely in the mission level.
14:00-14:20
SunB08-3
Research on HVPL for Visual Detection of Bicolor Water Level
Gauge
Bin Sun
Kunming Univ. of Scie. and Tech.
Changsheng Zhang
Kunming Univ. of Scie. and Tech.
Ziyu Liu
Kunming Univ. of Scie. and Tech.
Haiyong Tian
Shu Ye Tech. Co. Ltd
Hanping Zhang
Kunming Univ. of Scie. and Tech.
To obtain real-time and accurate value of water level for industrial boiler
drum, image preprocessing and number identification algorithms are
used on FPGA, including distortion correction, DoG filter (Difference of
Gaussian filter), the minimum misclassification error threshold method
and crack chain code. Especially, the algorithm HVPL is proposed.
Segmentation, extraction and number identification are fulfilled for the
level gauge image byusing above algorithms. Experiment shows that
performing the machine recognition for image by running the fast
algorithms on logic circuit has advantages of good real-time performance,
robustness and higher recognition rate.
14:20-14:40
SunB08-4
The Application in Detection of Defects in Compound Material with
Ultrasonic Phased Array Technology
Yunlin Luo
Civil Aviation Univ. of China
Xiang Lu
Civil Aviation Univ. of China
Kun Wang
Civil Aviation Univ. of China
Li Wang
Civil Aviation Univ. of China
According to the characteristics of composite materials and its possible
application working environment, to make sure of using the c0mpound
material safely, through a method to test the defect of compound material
is quite important. With the development of electronic technology,
ultrasonic phased array is gradually used in industry nondestructive
testing. This article analyses the advantages of ultrasonic phased array,
choosing the ultrasonic phased array technology as the nondestructive
testing method in test Compound material defect, to receive and transmit
ultrasonic phased array in the process of the calculation of delay time of
the array element required to control deflection and focusing of acoustic
beam, and to determine the appropriate parameters of phased array
probe, in order to achieve the best effect of detection. Finally, to test the
model composite, and to validate the advantages of ultrasonic phased
array technology in the detection of new composite materials, and has
the good prospects for development.
13:20-13:40
SunB08-1
Extraction and Evaluation Model for the Basic Characteristics of
MIDI File Music
Wei Zhao
Univ. of Scie. And Tech. Beijing
Beijing Modern Vocational and Tech. Coll.
Xiaoli Li
Univ. of Scie. And Tech. Beijing
Yang Li
Communication Univ. of China
The audio track of music melody includes a lot of useful information of
music melody, which is the basic of music character recognition and also
the premise work in the design of the performance plan of music
foundation .Five eigenvectors: pitch, length, tone tempo and strength are
extracted for the expression of music melody, by which, the basic music
character recognition system can be set up. An emotion model is formed
by using BP neural network. 200 songs with different emotional
characteristicsongs will be used as the sample data for the training and
validation of the neural network. The results of validation show the
effectiveness of the emotion model.
14:40-15:00
SunB08-5
Infrared Image Registration of Damage in the Aircraft Skin Based on
Lie Group Machine Learning
Yunlin Luo
Civil Aviation Univ. of China
Zhanxiao Yan
Civil Aviation Univ. of China
Kun Wang
Civil Aviation Univ. of China
Li Wang
Civil Aviation Univ. of China
The method of nondestructive testing for aircraft skin composite
defectsusing infrared thermography is very effective. But, against the
problem of how to rapidly and accurately identify for the defects of
specific types needs to be further study. Based on the analysis of the
existed classifier for skin damages, a complex group classifier based on
lie group machine learning algorithm is introduced in this paper.
According to the damage infrared thermal images obtained by the
infrared thermal imager, the feature of internal defects of the skin specific
defects is extracted and a discriminant function is established, and then a
direct classification for the input image is realized. A simulation result
proves that the algorithm given in this paper can satisfy the identification
accuracy, and shows the effective of the algorithm.
13:40-14:00
SunB08-2
Attitude Navigationfor Deep Space Explorer based on Mission
Planning
Fanyu Zhao
Beijing Institute of Tech.
Pingyuan Cui
Beijing Institute of Tech.
Rui Xu
Beijing Institute of Tech.
Zhaoyu Li
Beijing Institute of Tech.
In deep space exploration, unknown environment require the real-time
controlling on an explorer, however the time delay of communication and
signal blocking by stars make it impossible for the explorer to achieve
real-time controlling. In order to solve the real-time attitude controlling
problem for deep space explorers, the characteristics of complex system
120
15:00-15:20
SunB08-6
A Study of Intelligent Vehicle Motion Control System Based on
Multi-sensor Information Fusion
Yanting Lan
North Univ. of China
Jinying Huang
North Univ. of China
Aiming at the randomness of intelligent vehicle data collection and the
huge difference between the data collected which may easily result in
information conflict, missing of effective data and large decreasing of
effective data, method of distribution chart is used to eliminate negligent
errors on the basis of multi-sensor data collecting and data is processed
Book of Abstracts
by adaptive weighted information fusion algorithm in the mean time to
obtain more reliable distance information. Experiment shows this method
improves the accuracy of the distance measuring system and eliminates
effectively errors caused by sensor failure.
SunB09
Robot control (II)
Chair: Zhiwei Liang
CO-Chair: Fangzheng Xue
Room10A
13:20-15:20
Nanjing Univ.of Posts and
Telecommunications
Chongqing Univ.
13:20-13:40
SunB09-1
Quasi-harmonic Approach to Non-holonomic Robot Motion Control
with Concave Obstacles Avoidance
D. Necsulescu
Univ. of Ottawa
G. Nie
Univ. of Ottawa
Mobile non-holonomic robot motion control with collision avoidance is
investigated in this paper for the case of unknown concave obstacles
locally sensed. Motion control achieves in this case a reactive motion
using velocity potential fields approach in a modified, quasi-harmonic,
solution. Analytical solutions and simulations show how the harmonic
solution for collision avoidance with concave obstacles can be separated
smoothly from a non-harmonic solution for positioning.
13:40-14:00
SunB09-2
Omnidirectional Walk of Biped Robots in RoboCup3D Simulation
Environment
Ping Shen
Nanjing Univ. of Posts and Telecommunications
Zhiwei Liang
Nanjing Univ. of Posts and Telecommunications
Xuejun Li
Nanjing Univ. of Posts and Telecommunications
This paper mainly describes the omnidirectional walking motion design of
humanoid robot soccer team called Apollo3D. In this paper, we employed
a model which is based on double linear inverted pendulum with a
predictive control to generate a motion trajectory of the robot’s trunk in
the premise of keeping dynamic balance of robots. Parameters for walk
are optimized for maximum speed through an approach of Q-learning
algorithm. With this walking skill, ultimately, we realized rapidly and stably
omnidirectional walk of biped robot in complex and dynamic environment.
Experimental results have revealed the effectiveness of the proposed
design method in this paper.
14:00-14:20
SunB09-3
A partitioning-based task allocation strategy for Police Multi-Agents
Zhiwei Liang
Nanjing Univ. of Posts and Telecommunications
Xiang Yang
Nanjing Univ. of Posts and Telecommunications
Yao Deng
Nanjing Univ. of Posts and Telecommunications
RCRSS (RoboCup Rescue Simulation System, RCRSS) is a typical
multi-agent system. In order to solve the task allocation problem for police
multi-agents of this system, this paper presents a novel
partitioning-based task allocation strategy. It is carried out through the
use of clustering, namely the K-means clustering algorithm, to divide the
map into several regions. Then the dynamic adjustment system with
static assignment was adopted synthetically for the implementation. The
experimental results show that the new task allocation strategy for the
police can adapt to a variety of disaster environments and improve the
efficiency of multi-agent collaboration.
14:20-14:40
SunB09-4
Alignment Condition-Based Adaptive Iterative Learning Control for
Robot Manipulators
Qiang Chen
Chongqing Univ.
Fangzheng Xue
Chongqing Univ.
In this work, a novel adaptive iterative learning control scheme is
designed for robot manipulators with uncertain parameter and external
perturbation under alignment condition. The analysis of convergence of
proposed control law is based on composite energy function in the
iteration domain containing position tracking error, velocity tracking error
and parameter estimation error along both the time and iteration axis.
Rigorous analysis indicate that both position tracking error and velocity
tracking error converge to zero under alignment condition by
compensation for the uncertain disturbances. Simulation results also
confirm and verify the effectiveness of the proposed method.
14:40-15:00
SunB09-5
Position Deviation Based Second-Order Consensus in Multiple
Vehicle Systems
Jie Quan
Nanjing Univ.of Posts and Telecommunications
Guoping Jiang
Nanjing Univ.of Posts and Telecommunications
For second-order dynamic model of multi-vehicle system, we investigate
a second-order consensus protocol for the system in the case of
collecting information without time-delay. By introducing position tracking
value, we propose a simple second-order consensus protocol, making
the states of each vehicle converge to the given tracking values. The
necessary and sufficient condition under which second-order consensus
can be reached is derived by using the system stability theory. The
second consensus is then applied to the multiple vehicle systems with
four vehicles as an illustrative example.
121
2014CCDC
15:00-15:20
SunB09-6
Robot Manipulator Control Based on the Inner-learning Mechanism
Jian Xiang
Chongqing Univ.
Fangzheng Xue
Chongqing Univ.
This paper deals with the control problem of a class of multi-tasking and
varying-load robot systems, presents an effective control architecture
based on inner-learning mechanism. The novelty of the controller
designed by the new architecture is in the fact that the sub-controllers can
learn from each other and change information from each other; it can also
avoid the failures of the sub-controllers. The good performance and the
feasibility of this approach are shown through the experimental results.
SunB10
Smart grids (I)
Chair: Zaiyue Yang
CO-Chair:Wenjie Tang
Room10B
13:20-15:20
Zhejiang Univ.
Southeast Univ.
13:20-13:40
SunB10-1
Optimal Scheduling of Electric Vehicle using Dual Decomposition
Jinfeng Yang
Zhejiang Univ.
Zaiyue Yang
Guilin Univ. of Electronic Tech.
This paper concentrates on the optimal scheduling of electric vehicle
(EV). The EV is scheduled for both operating stage and non-operating
stage. With full consideration of operating income, regulation revenue
and the owner’s habit, the cost minimization problem is formulated as a
convex programming with coupling constrains. Dual decomposition is
utilized to obtain the global optimal solution. Then, a modified online
approach is introduced to alleviate the impact of price prediction error.
The simulation reveals that our algorithms can reduce the cost to a large
extent. Furthermore, it is demonstrated that the online scheduling
scheme can achieve a similar performance compared with the optimal
scheduling scheme having full knowledge of real time prices (RTP).
13:40-14:00
SunB10-2
Research on Fault Location Algorithm for Double Transmission Line
on the Same Tower Based On the Conductor's Relation of
Electromagnetic Coupling
Kunyi Chen
Hubei Univ. for Nationality
Qin Ai
Hubei Univ. for Nationality
Shaowu Li
Hubei Univ. for Nationality
Dongshan Geng
Hubei Univ. for Nationality
Yongchao Yang
Hubei Univ. for Nationality
The Six-Sequence Fault Components was used for fault location
Algorithm of double lines on the same tower commonly. But the Algorithm
is greatly influenced by the parameter’s symmetry of transmission line,
and particularly, the algorithm will bring bigger error when the conductor
transposition is not perfectly. The paper analyzes the error of the fault
location Algorithm based on the models of complete transposition and
no-complete transposition. According to the results of the above analysis,
the paper raises a fault location method by using the electromagnetic
coupling relationship between double lines. The PSCAD simulation test
indicates that the new method has higher accuracy.
14:00-14:20
SunB10-3
Research of Immune Algorithms for Reconfiguration of Distribution
Network with Distributed Generations
Cailian Gu
Shenyang Institute of Engineering
Shenyang Agriculture Univ.
Jianwei Ji
Shenyang Agriculture Univ.
Li Liu
Shenyang Institute of Engineering
The structure of traditional distribution network is changed from a single
supply radial network to a more power ring network when grid is
connected with distributed generations (DG), and island phenomenon
occurs higher in the process of reconstruction, which becomes
uncontrolled and high risk operation and increased the difficulty of
distribution network reconstruction. The improved immune genetic
algorithm introduced the principle of biological immune mechanism into
standard genetic algorithm is put forward, the problem of genetic
algorithm premature convergence in distribution network calculation is
overcome, constraint conditions of preventing islanding phenomenon in
the reconstructed model is added, encoding method based on the loop is
used. The calculation results show that, in the case of a distributed power
supply, the loss of network can be decreased and voltage quality is
improved by using this method ,what is the most that island phenomenon
is avoided .IEEE33 node is an example to prove the feasibility of the
method.
14:20-14:40
SunB10-4
Research on intellectualization of 126kV SF6 circuit breaker
Huan Wang
Ping Gao Group CO.LTD
Taomei Lv
Henan Quality Polytechnic
Jiangping Tao
Ping Gao Group CO.LTD
To realize Intelligent transformation based on the traditional 126kV SF6
circuit breaker，firstly, selection and installation of sensor is discussed，
and the rotating shaft which connect the transmission shaft and the
angular displacement sensor is improved. Secondly, to determine the
heater power, the heater is calculated and studied, based on the
Book of Abstracts
temperature changing and spatial size of mechanism box; Finally, how to
select the water vapor content transmitter
is studied ,in order to realize
condition monitoring SF6 gas.
14:40-15:00
SunB10-5
Study of the Location of TCSC for Improving ATC Considering N-1
Security Constraints
Wenjie Tang
Southeast Univ.
Wenjing Pan
Southeast Univ.
Kaifeng Zhang
Southeast Univ.
Cheng Liu
Southeast Univ.
With the increasing demand of electric power, transmission congestion
becomes a popular phenomenon in power systems. In order to improve
the ATC (Available Transfer Capability) between buses of the network,
this paper proposes a location method of TCSC in power grid. Power
transfer distribution factor and line outage distribution factor are used to
build the mathematical model of ATC considering the N-1 security
constraints. Meanwhile, the genetic algorithm is used to calculate the
location and the capacity of TCSC. The proposed method is applied to
the IEEE 14-bus system. The results show that this method can improve
the ATC of power systems with TCSC obviously.
15:00-15:20
SunB10-6
A new strategy of reactive power compensation device of indirect
current control
Xu Wang
Northeastern Univ.
Hongliang Yu
Northeastern Univ.
Yan Xing
Northeastern Univ.
Dan Yang
Northeastern Univ.
Static synchronous compensator(STATCOM) is mainly applied to the
reactive power compensation condition. This paper established the
model of indirect current control. Indirect current control is a kind control
strategy of phase and amplitude. The model characteristic is of nonlinear
and strong coupling. The nonlinear decoupling characteristics of inverse
system combine with the characteristics of nonlinear neural network, so,
this paper proposes a control strategy based on the structure of neural
network and inverse system. This paper established a simulation model
in MATLAB. The simulation results show that control strategy of reactive
power compensation has good dynamic performance. This control
strategy plays a guiding role for the design of the reactive power
compensation equipment.
SunB11
Room11B
Intelligent Building Control and Management (II)
13:20-15:20
Chair: Yahui Wang
Beijing University of Civil Engineering and
Architecture
CO-Chair:
13:20-13:40
SunB11-1
Research of Power System Steady-state Model with Distributed
Photovoltaic Based on Digsilent
Cailian Gu
Shenyang Institute of Engineering
Jianwei JI
Shenyang agriculture university
Li Liu
Shenyang Institute of Engineering
At present, the traditional power production mode has been difficult to
meet the demand of new situation, it is urgently necessary to adapt new
power production mode, distributed generation (DG) technology can
improve the reliability of large-scale interconnected power system.
However, distributed power supply for the grid is not a controlled source,
with the increase of DG, its negative effects on the stability of power
system and power quality isn't ignored. A comprehensive dynamic
analysis for micro power grid is needed to conduct. In the thesis the
significance of distributed power grid simulation is summed up , the
steady-state simulation model of photovoltaic is studied and one micro
grid is tested with the commercial simulation software DIGSILENT Power
Factory . The test results show that, from the perspective of the
steady-state, photovoltaic generating is treated as a PQ node is the most
appropriate, when adopt the droop control situation, while increasing the
number of droop control of photovoltaic power generation units and
reduce the active power of the photovoltaic power generation unit the
degree of reactive power over-limited can be reduced .
13:40-14:00
SunB11-2
A Multi-flooding data transmission Mechanism for low-duty-cycle
Wireless Sensor Network
Le Tian
Univ. of Civil Engineering and Architecture
In the paper a novel data transmission mechanism based on flooding for
low-duty-cycle wireless sensor network, named Multi-Flooding, is
proposed. Using Multi-Flooding, the node which has data to send will
keep trying to flooding the data to its destination for K times, while K
depends on the required successful transmission ration. Unlike traditional
views, the simulation tells that Multi-Flooding does not generate much
more broadcasting packets compared with other routing protocols, but
reduce the transmission delay and increase the successful transmission
ration remarkably.
14:00-14:20
SunB11-3
122
2014CCDC
Study on Emergency Management Simulation Command System for
Gas System Based on Cybernetics
Ya-hui Wang
Beijing Univ. of Civil Engineering and Architecture
Gao Shunli
Beijing Gas Group Co.LTD.
Wu Bo
Beijing Gas Group Co.LTD.
Li Xiaxi
Beijing Gas Group Co.LTD.
Sun Jianmin
Beijing Gas Group Co.LTD.
Wang Jianling
Beijing Univ. of Civil Engineering and Architecture
For gas system safety management work is complex, universal, irregular
and systematic, establishing the system which can simulate real
emergency scenes, realizing the scene setting and the emergency
response dynamic interaction of emergency pre-arranged planning
system is the very urgent practical need. This project through the study
based on author’s algorithm to put forward the emergency management
cybernetics model as the foundation, draw lessons from the military field
“war game deduction” and “war simulation” thinking, and computer
network and distributed simulation software for the tool. So as to realize
the emergency command system and the emergency plan.
14:20-14:40
SunB11-4
Based on Agent Technology of Gas Pipeline Leakage Urgent
Repairing Simulation Exercises and Practical Countermeasure
Analysis
Qian Yan
Institute of Electrical and Information Engineering
Ya-hui Wang
Institute of Electrical and Information Engineering
The development of city gas has become an important symbol of urban
modernization, but the resulting problem of gas safety using is becoming
more and more serious, especially the outdoor pipeline network leakage,
matter has become the priority of development of gas undertakings. This
article firstly gets the investigation of Beijing gas pipeline leakage forms
and causes. Secondly for gas pipeline leakage after the accident
emergency preplan based on Multi-Agent of simulation exercises on the
Anylogic platform, developing a rapid, timely and reliable safety of
emergency plan, with the fastest speed, the optimal scheme, the most
mature to deal with gas leakage. Then emergencies and feasible
measures and suggestions are put forward to make sure the safety
operation of gas pipeline.
14:40-15:00
SunB11-5
Using Multiple Views for Gait-based Gender Classification
De zhang
Beijing Univ. of Civil Engineering and Architecture
Ya-hui Wang
Beijing Univ. of Civil Engineering and Architecture
Automatic gender classification of an individual can be very useful in
video-based surveillance systems and human-computer interaction
systems. In this paper, we propose an approach to integrate information
from multi-view gait at the feature level. First, gait energy images (GEI)
are constructed from the video streams for different viewpoints. Then, the
feature fusion is performed by putting GEI images and camera views
together to generate a third-order tensor (x; y; view). A multilinear
principal component analysis is employed to reduce dimensionality of the
tensor objects which integrate all views. Compared with other methods,
the proposed fusion scheme shows more effective performance for
multi-view gait based gender classification.
15:00-15:20
SunB11-6
Optimization of Least-squares Localization Algorithm in WSN
Zhang Yu-ting
Beijing Univ. of Civil Engineering and Architecture
Tan Zhi
Beijing Univ. of Civil Engineering and Architecture
Network node positioning technology is one of the important supporting
technologies in the practical application of wireless sensor. In order to
overcome the measurement error of the least squares(LS) method for
wireless sensor networks (WSNs) node affect their positioning accuracy,
an improved positioning algorithm least squares is proposed. In order to
obtain the optimal reference node, the algorithm based on the
conventional least squares location algorithm to correct bad nodes .The
simulation results show that the algorithm can effectively filter large node
localization errors. The positioning accuracy is significantly improved.
SunBIS
Interactive Session
The lobby of the 4th floor
13:20-15:20
SunBIS-1
Optimal Patient Routing Policies at Diagnosis-stage in Outpatient
Department Non-preemptive Queues
Huabo Zhu
Northeastern Univ.
Dan Chen
Northeastern Univ.
Liaoning Institute of Scie. and Tech.
Jun Gong
Northeastern Univ.
Jiafu Tang
Northeastern Univ.
The diagnosis-stage is always the bottleneck stage for the normal arriving
patient flow and the referral patient flow influx in Outpatient Department
(OD) in Chinese hospital. And the referral patient has high-priority than
the normal arriving patient in general. How to minimize the referral
patients mean waiting time and meanwhile keeping the normal patients
queue stable? Around the goal a general two types of patient flow with
non-preemptive and homogeneous server queueing model is
established. An optimal patients routing policies named admissible policy
Book of Abstracts
is proposed and the main result formulas are developed. Some analysis
around the result is made to verify the validity of the admissible policy.
Based on result analysis a new question about server fairness workload
is discovered in future research.
SunBIS-2
The Research and Application on the Optimal Location Model of
Project
Jie Zhang
Northeast Dianli Univ. Coll. of Scie.
Chengxiang Hu
Northeast Dianli Univ. Coll. of Scie.
Location problem is about selecting one or more facility's geographical
location to make the objective function to be optimal. in this article, firstly,
we introduce three location models of project, single source of
continuous, discrete location model for single source and multiple source
location model of discrete location model. Then we illustrate three
numerical examples and provide solution by using Lingo software.
SunBIS-3
Analysis on the Optimum Selection of Science and Technology
Industrialization Projects Based on AHP- Fuzzy Comprehensive
Evaluation
Lihua Jiang
People's Liberation Army Naval Engineering Univ.
Kongguo Zhu
Shandong Youth Univ. of Political Scie.
The influencing factor of science and technology industrialization projects
is numerous, and evaluation information has characteristic of fuzziness.
By analysis and research, the indicator system of science and technology
industrialization projects was put forward; combined the analytic
hierarchy process with fuzzy decision theory, Comprehensive
assessment and ranking were carried out for the selected enterprise
projects using the AHP-fuzzy comprehensive evaluation model. Finally,
the preferably recommended solution was proposed.
SunBIS-4
Variable Probability based Bidirectional RRT Algorithm for UAV
Path Planning
Xinggang Wu
Shenyang Aerospace Univ.
Cong Guo
Shenyang Aerospace Univ.
Yibo Li
Shenyang Aerospace Univ.
Since the traditional rapidly-exploring random tree connect
(RRT-connect) algorithm cannot be applied to the problem of unmanned
aerial vehicle (UAV) path planning directly, a variable probability based
bidirectional RRT algorithm (VPB-RRT) is proposed. The restriction of the
turning angle of UAV is joined in the process of generating random points
of the programming algorithm, which makes the performance of the track
satisfy the conditions for flight. By using this algorithm to identify the
probability though rasterizing the planning space and importing the
concept of coverage rate, track has been made to satisfy the respects of
online time and accuracy of UAV path planning. Compared with the A*
algorithm, traditional RRT algorithm and RRT-connect algorithm, the
results show that VPB-RRT fully satisfies the requirements of online UAV
path planning which with shorter time and higher accuracy.
SunBIS-5
Comprehensive Evaluation of Regional Development Level of
Resources inequalities
Jiameng Guo
Beijing Univ. of Posts and Telecommunications
Mingyue Qu
Dalian Univ. of Tech.
Kewu Peng
Liaoning Institute of Scie. and Tech.
To evaluate the development of 9 provinces (or cities) of China, we
analyze the relative advantage of different provinces ities) from four
aspects: economy, society, sustainable development and politics and
culture. Considering the difference of resource of rent provinces (or
cities), we provide a new evaluation model. Specifically, first, the
provinces (or cities) are divided into three regions, are eastern, middle
and western regions. Then, we get the ideal development of different
regions, and compare the attributes values of ons (or cities) with the ideal
values to get the similarity degree. At last, we average all the approach
degrees as the final evaluation value analyze the result. This research
provides a reference to the question of having different resource.
SunBIS-6
Dynamic Comprehensive Evaluation Method with the Feature of
Reward and Punishment
Yi Zhang
Beijing Univ. of Posts and Telecommunications
Jiameng Guo
Beijing Univ. of Posts and Telecommunications
Lei Yi
Univ. of International Business and Economics
Kewu Peng
Liaoning Institute of Scie. and Tech.
Considering the development situation of each object in different time
interval in the dynamic evaluation problem, we provide a method with the
feature of reward and punishment. In this method, the evaluation
information participates in evaluation in the form of a whole vector. Then
the timing weights are determined by the TOPSIS method, which can
express the purpose of reward and punishment. Based on this, the final
evaluation result is gotten. At last, a numerical example is given to
illustrate the using of this method.
123
2014CCDC
SunBIS-7
Track Initiation Algorithm for Maneuvering Target Using Radial
Velocity Measurements
Junquan Yuan
Air force Early-warning Academy
Shuai Yin
Air force Early-warning Academy
Jin Jiang
Air force Early-warning Academy
Licai Wang
Air force Early-warning Academy
Aiming at the track initiation of maneuvering target for track-while-scan
(TWS) multiple frequency continuous wave (CW) radar, a new method
using the radial velocity measurements is discussed. Firstly, the
maneuvering target model and observation model including radial
velocity are built. Then the wave gate design and algorithm for track
initiation using the radial velocity measurements are analyzed. Finally the
performance of target tracking is compared for different wave gate design
methods from the view of constant ranging errors and changing errors by
Monte Carlo simulation.
SunBIS-8
A Consensus Model for Conflict Problems in Distributed Command
and Control Decision Making
Haiyan Huang
PLA Univ. of Scie. and Tech.
Jing Shi
The 61th Research Institute
Guangyu Bao
PLA Univ. of Scie. and Tech.
Xiaoming Liu
PLA Univ. of Scie. and Tech.
Based on the two-tuple linguistic evaluation method, this paper proposes
a consensus model to alleviate conflict problems in distributed Command
and Control (C2) decision making. This model mainly involves three
phases: computing consensus degrees, controlling the consensus state
and feedback mechanism. In this proposed model, consensus degree
among deciders is obtained. And the preference distances between
deciders' individual opinions and the aggregated opinion are evaluated
respectively. After analyzing the global process, feedback mechanism
provides some constructive proposals. Finally, an example shows that
this model could relieve such conflict problems caused by different
deciders' cognition effectively.
SunBIS-9
Spare Parts Varieties Level Configuration Based on Grey Situation
Decision
Xi Ren
Naval Aeronautical and Astronautical Univ.
Jianjun Zhao
Naval Aeronautical and Astronautical Univ.
Libin Yang
Naval Aeronautical and Astronautical Univ.
The main factors that affect the Determine of spare parts varieties are
analyzed, the introduction of grey situation decision method to solve the
varieties of spare parts in order to determine the maintenance level, a
new spare parts varieties quantitative method is provided..
SunBIS-10
Cloud Services Optimization Problem on Energy Utility Resource
Allocation
Minghai Jiao
Northeastern Univ.
Ping Yan
Shenyang Aerospace Univ.
Chen Li
Northeastern Univ.
Qiang Wang
Northeastern Univ.
Yanjing Wei
Northeastern Univ.
In this paper, the cloud services optimization problem considering energy
consumption cost is discussed. The queue model is presented for
customer request service on data center. Since the server energy utility is
based on the CPU core frequency, the novel trade-off optimization model
between services revenue and energy loss cost is proposed in the paper,
including allocating the dynamic CPU frequency of server. The HPSO
algorithm is proposed for solving the mixed integer programming model.
Then novel particle encoding substituting discrete variables and
continuous variables efficiently improves solution quality. Finally, the
dynamic penalty function method is discussed to convert the constraint
optimization problem to non-constraint optimization problem.
SunBIS-11
Improving Churn Prediction in Telecommunications using
Complementary Fusion of Multilayer Features based on
Factorization and Construction
Qiuhua Shen
Central South Univ.
Hong Li
Central South Univ.
Qin Liao
Central South Univ.
Wei Zhang
Hunan Univ.
KONE KALILOU
Central South Univ.
High dimensional and unbalanced datasets are the main problems which
prevent from achieving ideally churn prediction performance. Features
selection is necessary to be adopted to enhance the model performance.
A new predicting framework is proposed in this paper which uses
complementary fusion of the multilayer features. Several subsets and
new features were acquired according to feature factorization and feature
construction respectively. The effective features were selected by
multilayer complementary fusion which according to the contribution of
feature subsets and new features. In this way, the imbalance defects of
class distributions can be fixed, prediction accuracy can be improved and
system stability can be reinforced. Five data mining models were applied
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in customer churn. Experimental results demonstrated that the method
we proposed could preferably overcome the inelasticity of traditional
feature selection algorithms, and more effective than those existing
methods in telecommunications industry. Furthermore, we found optimal
fusion with prediction model for customer churn prediction in
telecommunications industry through exploring the advantages and
limitations of each feature subset and prediction techniques.
2014CCDC
concerned, and an evaluation index of ship emergency capability is built
based on this index system. Secondly, based on theory of fuzzy set pair
analysis, the evaluation model for ship emergency capability is promoted
where the certainty and uncertainty of the indicators are considered in a
whole system. Finally, two examples of ship are brought into our model,
and the calculation results prove that the promoted model is reasonable
and feasiblel.
SunBIS-12
Optimal Hierarchical Allocation in Deregulated Electricity Market
under PSP Auction Mechanism
Zhongjing Ma
Beijing Institute of Tech.
Yingying Cui
Beijing Institute of Tech.
In hierarchical electricity market, the retailers buy electricity from
generation provider and then sell it to users. Retailers play an important
role in the distribution channel by matching supply and demand, but they
also potentially cause inefficiencies in electricity allocation. To induce an
efficient allocation of electricity, we propose a novel hierarchical
distributed method under PSP auction mechanism. Under this
mechanism, each of players, either the generation provider or the
retailers, obtains their electricity allocation through the PSP auction
method by submitting a multi-dimensional bid profile, instead of telling
their private cost or valuation function, then the retailers economically
distribute the electricity, acquired in the PSP auction, among users.
Moreover, the valuation function of retailers depends on the revenues
that they sell the electricity to users. As a main result, in this paper we
show that there exists an efficient Nash equilibrium (NE) for the
underlying auction games.
SunBIS-17
Optimal H∞ fusion controller design for a class of discrete-time
systems with missing measurements
Xiuying Li
Heilongjiang Univ.
Shuli Sun
Heilongjiang Univ.
This paper is concerned with the design problem of multi-sensor optimal
H∞ fusion controller for a class of discrete-time systems with missing
measurements. Based on Lyapunov theory and linear matrix inequality
technology, the centralized and distributed fusion controllers are
designed, respectively such that, for all possible missing measurements,
the closed-loop systems are asymptotically stable in the mean square
and the prescribed H∞ performance constraint is satisfied. A simulation
example is given to illustrate the design procedure for the multisensor
systems.
SunBIS-13
Research on the Task Process Reliability Modeling of SOS
Tianjian Wen
Beijing University of Aeronautics and Astronautics
Xin Pan
Beijing University of Aeronautics and Astronautics
With the widespread concern for the SoS(System of Systems), the
attention that SoS task process received is continuously increasing. Due
to the complexity of SoS and the system SoS task process, it is difficult to
describe SoS and SoS task process. Trying to draw on the theory of
FEMA and the IDEF3, this article attempts to model a SoS task process
and calculate the reliability of it. First, a SoS task process FMEA
worksheet is created which is secondly converted to IDEF3 flowchart in
terms of some given definition. Third, IDEF3 flowchart is converted to
reliability model through their connection. At last, the reliability can be
calculated.
SunBIS-14
Technology Research & Development Decision Based on Relative
Advancement Degree of Difficulty in Large Project
Wenbing Chang
Beihang Univ.
Wei Liu
Beihang Univ.
Shenghan Zhou
Beihang Univ.
Shaoqi Zhou
Beihang Univ.
The paper investigates the Relative Advancement Degree of Difficulty
(RAD2) problem to evaluate the feasibility and effectivity of the
technology. Firstly, the study reviews concept of Technology Readiness
Level (TRL), Earned Value Management (EVM). Then, an improved
method was developed by integrating the impact on cost, schedule and
technical performance to calculate the RAD2. With the result of RAD2
and acceptable RAD2 threshold, we can easily decide whether the
technology is worth further investment. Finally, an illustrative example is
given to verify the developed method.
SunBIS-15
The method of risk evaluation for equipment development based on
triangular fuzzy number and TOPSIS
Shaoqi Zhou
Beijing Univ. of Aeronautics and Astronautics
Wenbing Chang
Beijing Univ. of Aeronautics and Astronautics
Shenghan Zhou
Beijing Univ. of Aeronautics and Astronautics
Wei Liu
Beijing Univ. of Aeronautics and Astronautics
Risk evaluation of equipment development, it’s the key point to make
sure the success of the whole equipment development. Firstly, the paper
respectively provided methods of how to transform three typical forms of
uncertainty risk information into triangular fuzzy number. Then, the paper
established risk assessment models based on triangular fuzzy number
and TOPSIS. Finally, the paper tested the above model using examples.
SunBIS-16
Emergency Capability Evaluation for the Ship at Sea Based on FSPA
Algorithm
Yang Ou
Dalian Maritime Univ.
Zhengjiang Liu
Dalian Maritime Univ.
Liang Cao
Dalian Maritime Univ.
This paper is concerned with the evaluation model of emergency
capability evaluation for the ship at sea. The goal of our work is to find the
human reasons leading to the poor ship emergency capability, and then
improve the team cooperation ability in emergency to avoid the vessel
accidents. In this paper, firstly, according to the special attitude of the
ship on sailing, the emergency capability of the sailing team is mainly
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SunBIS-18
Design of Embedded Network Controller Based on ARM
Lingyan Xue
Liaocheng Univ.
Liping Zheng
Liaocheng Univ.
Rui Liu
Liaocheng Univ.
A high efficiency, new-type embedded network controller based on ARM
in the distributed control system is designed. It’s used in various industrial
control fields. It’s very helpful to meet the needs of the system in
real-time, reliability, low power consumption, etc. This paper designs the
overall structure and the software and hardware scheme of the network
controller. As the key, redundancy design architecture of the network
controller is studied. It consists of the circuit design method for redundant
logic circuits and high-speed redundant communication channels. In
addition, this paper introduces the hardware circuit design of each
module, hardware debugging steps and the hierarchical structure design
of the controller software. Detailed design is introduced in this paper.
SunBIS-19
Research of an adaptive PI admission control of Web service
Zijie Zhu
The 28 Research Institution of China Electronics
Technology Group Corporation
Xiang Gao
The 28 Research Institution of China Electronics
Technology Group Corporation
Chunhui Zhang
The 28 Research Institution of China Electronics
Technology Group Corporation
A session-based admission time ratio (ATR) feedback control mechanism
is introduced in order to the control Internet load pressure. An
auto-regressive moving average (CARIMA) system is described as the
Internet load pressure model. The Model Reference Adaptive Controller
(MRAC) based on feedback control and feedforward compensation is
designed to adjust ATR, and feedback controller is used to statue
feedback control, also feedforward compensation is composed by error
integration compensation. The simulation results of Apache Web server
compared with MRAC and PI MRAC control methods show that the PI
MRAC control based on system identification online has a better
performance on improving the Internet quality of service (QoS) in case of
overload.
SunBIS-20
Output Quantized Feedback with Bounded System Noise
Yuqiang Long
Univ. of Scie. and Tech. of China
Qiang Ling
Univ. of Scie. and Tech. of China
Zhe Yan
Univ. of Scie. and Tech. of China
Feng Li
Univ. of Scie. and Tech. of China
Song Wang
Univ. of Scie. and Tech. of China
It is of great value to study control systems employing sensors and
actuators which are geographically separated. In this paper, we study a
system with bounded noise and stabilize it under output quantized
feedback. Some people have done research on full-state observable
linear systems. Here we consider the general(not necessarily full-state
observable) output feedback situation with system noise. We use
dynamic quantization strategy and prove the quantized system with a
state observer can achieve practical stability at the same minimum bit
rate in the full-state case. Furthermore, we give an upper bound of the
estimation error. At last, we show simulation result of the state of output
feedback control on the system.
SunBIS-21
MODBUS-based Data Share of Multi-touch Screen and Its
Application In Coals Blending Automatic Shooting Control System
of Jiexiu Coal Washing Factory
Guojun Zhang
Taiyuan Univ. of Tech.
Zehua Chen
Taiyuan Univ. of Tech.
According to the communication protocol and structure characteristic of
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color touch screen DOP B105, MODBUS communication protocol was
adapted to establish multi-touch screen communication networks, which
help realizing data link and data share between a PLC and many
multi-touch screens. This system was then applied to coals blending
automatic shooting control system in Jiexiu Coal Washing Factory and
the control performance is satisfying.
SunBIS-22
Development of Simulation-based Software Design Solution
Konstantin Aksyonov
Ural Federal Univ.
Eugene Bykov
Ural Federal Univ.
Olga Aksyonova
Ural Federal Univ.
The paper focuses on development and application of a software
engineering system BPsim.SD, part of decision support suite
BPsim.DSS, which greatly simplifies analysts work and their interaction
with software developers. System is integrated into a decision support
suite, which allows instant transition from software entities design to
simulation of developed product with possible application of simulation
experiment design for tough projects. Paper gives several examples of
the system deployment in production environments, both for model
validation (which was successful) and for software design from scratch,
which resulted in benefits from decreased costs and avoided data losses.
After verification the system has been used in multiple projects. This
paper describes software application for design of an information system
for shareholders registers, located in Russia.
SunBIS-23
The Research on transmission Delay Compensating based on
Internet
Guangquan Fu
Linyi Univ.
After analyzing the NCS application advantages and Disadvantages of
Ethernet and TCP/IP network, the model predictive control algorithm is
used to explore the transmission delay of the network control system. A
delay compensation control scheme which based on dynamic matrix
control algorithm is given. The scheme is proved to be effective by
simulation.
SunBIS-24
An improved congestion avoidance control model for TCP Vegas
based on Ad Hoc networks
Ying Luo
Southwest Univ. of Scie. and Tech.
Minyong Yin
Institute of Computer Application, Academy of
Engineering Physics
Hong Jiang
Southwest Univ. of Scie. and Tech.
Shaoliang Ma
Institute of Computer Application, Academy of
Engineering Physics
The congestion control of TCP Vegas is more stable and brilliant than
other TCP versions such as Westwood Plus because of the congestion
control before collision in Ad Hoc networks with frequent topology
changes. Nevertheless, Vegas has less competitive ability when its data
flow coexists with other protocols’. In addition, it cannot make full
advantage of available bandwidth to transmit packets. The research aims
to propose an improved TCP Vegas, ICATCP, which has three enhanced
aspects in congestion avoidance phases. Ⅰ . The lower layers’
parameters will be considered in throughput model to improve the
accuracy of theoretical throughput. Ⅱ. Forward throughput prediction
mechanism with revision based on Grey Prediction is used to promote
the online cwnd control. Ⅲ. The optimal exploring mechanism based on
Q-Learning is applied to search the more reasonable changing size of
congestion window. The simulation results show that the ICATCP has
higher throughput, lower delay, more fair allocation of bandwidth than
Vegas and Westwood Plus in multi-hops Ad Hoc scenarios.
SunBIS-25
Finite-Time Stabilizabled Controller Design for a Class of Neutral
Time-Delayed Systems via State Feedback
Xia Chen
Anhui Univ.
Jun Song
Anhui Univ.
Shuping He
Anhui Univ.
The finite-time stabilization problem for a class of neutral time-delay
systems is considered. For the energy-bounded disturbance input, the
designed state feedback controller can makes the concerned neutral
systems finite-time stabilization. By using the constructed Lyapunov
functional and linear matrix inequalities techniques, the sufficient
condition for the finite-time stabilization is derived. Finally, two numerical
examples are given to illustrate the validity of the developed approaches.
SunBIS-26
Modeling Research on Ground-Coupled Heat Pump System Based
on Artificial Neural Network
Yating Zhang
Beijing Univ. of Tech.
Weichang Jiang
Beijing Univ. of Tech.
Ruihua Wang
Beijing Univ. of Tech.
As a new technology of renewable energy,ground-coupled heat pump
system has been rising in our country in recently years.However because
of the nonlinear and high degree of coupling,it is not clear to find out the
relationship between control variables and total energy consumption of
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2014CCDC
the system.This paper proposes a modeling way for ground-coupled heat
pump system that uses artificial neural network,it builds the relationship
between control variables and total energy consumption of the system
directly.Through the comparison we can find a better way for building the
Ground-coupled heat pump System.
SunBIS-27
The Ship Motion Prediction Approach Based on BP Neural Network
to Identify Volterra Series Kernels
Xiuyan Peng
Harbin Engineering Univ.
Zhiguo Men
Harbin Engineering Univ.
Xingmei Wang
Harbin Engineering Univ.
Shuli Jia
Harbin Engineering Univ.
Ship motion prediction plays a prominent role in the whole ship motion
process. This paper presents a new approach for ship motion prediction.
In order to obtain more effective prediction result, the paper studied the
BP neural network and Volterra series model, and the chaos
characteristics of ship motion time series. A novel method of
single-output three-layer BP neural network to identify Volterra series
kernels is proposed. Multi-step prediction for the roll motion time series of
ship at 135°with the method is accomplished. The simulation analysis
demonstrate that the ship motion prediction approach based on BP
neural network to identify Volterra series kernels has higher precision,
longer prediction time, effectiveness and adaptability, and it can predict
the ship motion exactly.
SunBIS-28
Output Feedback Adaptive Dynamic Surface Control for a Class of
Uncertain Nonlinear Systems
Jingyu Yang
Qufu Normal Univ.
Qiangde Wang
Qufu Normal Univ.
In this paper, an adaptive output feedback controller was developed for a
class of nonlinear systems with unkonwn parameters, uncertain
disturbances and unmeasured states. Firstly estimated states was
obtained by introducing an observer. Then a controller was developed
based on the dynamic surface control approach. Explosion of terms can
be avoided because this method no longer needs the repeated
differentiations of the virtue control. Only two parameters instead of all
the neural networks weights need to be updated.All the signals of
closed-loop systems can be guaranteed semiglobally uniformly ultimately
bounded through the analysis of this method.The tracking error can be
arbitrarily small by choosing the proper design parameters. Simulation
studies show the effectiveness of the proposed approach.
SunBIS-29
A Cerebellar Neuronal Network Model applying to DIVA Model
Yuanyuan Wu
Nanjing Univ. of Posts and Telecommunications
Shaobai Zhang
Nanjing Univ. of Posts and Telecommunications
The paper presents a new cerebellar feedback-error-learning model that
meets the requirement of DIVA (Directions Into Velocities of Articulators)
model, and constructs a cerebellar neuronal network model that consists
of 900 granular cells, 10 Golgi cells, 50 basket/stellate cells, and 10
Purkinje cells based upon neuroanatomy. By applying the new cerebellar
neuronal network model to the DIVA model and then modifying the
cortical DIVA circuit, simulation results show that the DIVA model can
produce clear and explicit speech sounds, and the new cerebellar
neuronal network model can solve the problem of the learning and
maintenance of feedforward motor commands.
SunBIS-30
A Neural Network Based Model Predictive Control for Wind Tunnel
Ning Du
China Aerodynamics Research and Development
Center
XiuHong Long
China Aerodynamics Research and Development
Center
Li Zhao
China Aerodynamics Research and Development
Center
In this study, a neural network (NN) based dynamic Mach number
predictive control was proposed for a wind tunnel Match number control
system. The proposed method absorbed in advantages both artificial
neural network and model predictive control, for control of strong
nonlinear, multiple variables, large lagging, and time-varying system. In
this approach, the dynamic of wind tunnel is represented by a NN model.
Then, this NN-based model was applied to the scheme of an MPC. The
experimental results show that the effectiveness and set-point tracking
performance of the proposed control system.
SunBIS-31
A Pruned Cooperative Co-Evolutionary Genetic Neural Network and
Its Application on Stock Market Forecast
Xingcheng Pu Chongqing University of Post & Telecommunications
Yanqin Lin
Chongqing University of Post & Telecommunications
Pengfei Sun
Chongqing University of Post & Telecommunications
Aiming at neural network structure designing problems, a new hybrid
pruning algorithm was put forward. The algorithm consists of three steps.
Firstly, it uses cooperative co-evolutionary genetic algorithm (CCGA) and
back propagation algorithm (BP) to optimize the number of neural nodes
Book of Abstracts
and the weight values; Secondly, it calculates the significance of the
hidden layer neurons; Thirdly, in order to ensure that the generalization
capability of the model and simplify the network structure further, it
prunes the neurons which are not significant. Using the proposed hybrid
pruning algorithm to forecast stock market, simulations show that the
improved algorithm has better generalization ability and higher fitting
precision compared with other optimization algorithms.
SunBIS-32
The Design of Neural Network Controller of a Class of Nonlinear
Systems with Unknown Actuator Hard-Nonlinear
Hui Fang
Univ. of Jinan
Donghong Lu
Shandong Jinan Power Equipment Factory Co. Ltd
The problem of actuator hard-nonlinear appears in many practical control
systems especially the plant with serious nonlinearity and need run in
large rang situations. If the controller is designed only with conventional
linearly techniques, the presence of hard-nonlinear can debase the
performance even lead the closed-loop system to an unstable behavior.
In this paper, neural net-based actuator hard-nonlinear compensation
scheme with on-line weights tuning law for the nonlinear systems in
Brunovsky form is presented to decrease the influence of hard-nonlinear
for improving output tracking. Simulation example is given to illustrate the
effectiveness of this method.
SunBIS-33
The High Precise Optimization Algorithm and Rational Construct
Study of Multi-Layered Feed-forward Neural Network
Xianglin Hou
Shenyang Jianzhu Univ.
Yali Liu
Shenyang Jianzhu Univ.
Qi Li
Shenyang Jianzhu Univ.
In this paper, a High Precise Optimization Algorithm for manipulating
multi-layered feed-forward neural network is studied. Its basic principle is:
defining neural network average error as objective function, weights and
thresholds as design variables, through design variables rationally sorted,
objective function is dynamically formed. Compared the new method with
BP, the optimum step-length can be not only acquired per time computing
and objective function is gradually decreased, but also oscillation
phenomenon can be overcome by the new algorithm. A high precision
computing program of multi-layered feed-forward neural network is
programmed. Rational construct of multi-layered feed-forward neural
network is analyzed by optimization. Through computing neural network
of typical engineering question, its validity and application prospect is
showed.
SunBIS-34
Research on Case-based Reasoning Search Method
Hongru Li
Northeastern Univ.
Chaoyue Zhao
Northeastern Univ.
Wei Wu
Northeastern Univ.
The search method based on the way combined self-organizing
competitive neural network with nearest neighbor algorithm was
proposed. A data preprocessing method applying to the retrieval method
was proposed in this paper. The implementation process of the search
method based on the way combined self-organizing competitive neural
network with nearest neighbor was showed. Eventually, through a
practical example, the feasibility and efficiency of combination of
self-organizing competitive neural network and nearest neighbor method
were demonstrated.
SunBIS-35
Analysis and Design of Fuzzy-PID Controller with Generalized
Linear Membership Function
Weihua Huang
Wuhan Univ. of Scie. and Tech.
Zheng Zhang
Wuhan Univ. of Scie. and Tech.
Kangling Fang
Wuhan Univ. of Scie. and Tech.
A kind of membership function, called as generalized linear membership
function(GLMF), is designed in the paper, and the triangular and
trapezoid ones are as its special cases. It is derived that the fuzzy-PID
Controller with GLMF is equivalent to the sum of a nonlinear PID
controller and a compensation value, based on the analytical structure of
the controller. With the definition of fuzzy Lyapunov function, the
stabilization condition is given to adjust the performance of the fuzzy
system. Finally, the characters of the designed fuzzy system, derived by
theoretical analysis, are manifested by the simulation results of several
examples.
SunBIS-36
Observer Design of Discrete-Time T-S Fuzzy Systems via An
Efficient Multi-Instant Fuzzy Observer
Hongxia Zhang
Wuhan Business Univ.
Xiangpeng Xie
Huazhong Univ. of Scie. and Tech.
The problem of reducing conservatism of observer design of
discrete-time Takagi-Sugeno fuzzy systems is addressed via a new kind
of fuzzy observer. The so-called multi-instant fuzzy observer is
parameter-dependent on both past-time and current-time normalized
fuzzy weighting functions. Since more information about the underlying
fuzzy systems could be involved into observer design, the conservatism
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2014CCDC
of observer design for discrete-time Takagi-Sugeno fuzzy systems can be
significantly reduced. In particular, some existing fuzzy observers are
special cases of the multiinstant fuzzy observer proposed in this paper.
Finally, a numerical example is given to illustrate the effectiveness of the
proposed results.
SunBIS-37
Research on Evaluation of City Public Emergency Capability Based
on The Fuzzy Set Theory
Yan Sun
Northeastern Univ. at Qinhuangdao
The evaluation of the city public emergency capability is an important
basis of the development of the city emergency capability. This paper
made a evaluation to the eight sample cities based on the Fuzzy Set
Theory. And the sample cities are choice by the three criteria such as
disaster distribution, city type and geography location and so on. And
they are Nanning, Harbin, Yinchuan, Shenyang, Jinan, Chengdu, Wuhan
and Guangzhou. The evaluation result shows that the public emergency
capability of the following five cities are at a low level: Jinan, Shenyang,
Wuhan, Yinchuan and Nanning. That shows the level of the city public
emergency capability in our country is still at a low level at present and
remains to be further improved.
SunBIS-38
Design and application of high precision fuzzy controller
Yong He
Changsha Univ. of Sic. and Tech.
Jianyong Li
Changsha Univ. of Sic. and Tech.
Qi Kuang
Changsha Univ. of Sic. and Tech.
For conventional fuzzy control system in the process of control accuracy
is low, this paper proposes a fuzzy control system offline to get fuzzy
control table with Taylor interpolation algorithm, through online
calculation control output of the system. Simulation results show that the
method has fast response, no overshoot, steady-state error is small, the
advantages of combining simulation examples prove that this method has
excellent control quality, can effectively overcome the steady-state error
and flutter phenomenon.
SunBIS-39
Temperature Modeling of PEM Fuel Cell Based on Fuzzy Strategy
Qun Yan
Univ. of Scie. and Tech. Beijing
Key Laboratory of Advanced Control of Iron and
Steel Process
Qing Li
Univ. of Scie. and Tech. Beijing
Peichang Zhang
Univ. of Scie. and Tech. Beijing
Datai Yu
Univ. of Scie. and Tech. Beijing
Proton Exchange Membrane Fuel cell has many perfect characters, such
as high efficiency, low cost, pollution-free, good safety and good starting
performance under low temperature. Recently it is one of the most
important research subjects among domestic and international fuel cell
fields. Applying a kind of T-S fuzzy system based on, This paper
developed a T-S modeling based on triangular membership functions to
the identification of fuel cell systems from application aspects for the PEM
fuel cell temperature system. This model is fit for multi-variables and has
simple construction and high accuracy. Finally, simulation examples
show the effectiveness of the modeling.
SunBIS-40
A Logistic-Interpolation-Based Fuzzy Controller for Electrode
Regulation of Submerged Arc Furnace
Shiliang Zhang
Xi'an Jiaotong Univ.
Hui Cao
Xi'an Jiaotong Univ.
Wanjun Lei
Xi'an Jiaotong Univ.
Yanbin Zhang
Xi'an Jiaotong Univ.
Submerged arc furnace is a system with strong coupling, nonlinearity and
time-variability. In this paper, a logistic-interpolation-based fuzzy
controller for electrode regulation of submerged arc furnace is proposed.
The proposed controller is based on fuzzy logic control strategy, and
interpolation algorithm is employed to improve the control accuracy
without raising complexity of the controller. The errors between the set
values and the measured values of every phase electrode current are
taken as the input of the controller, while the output of the controller is
obtained according to the interpolation calculation of the neighboring
antecedents of the observation. The interpolation coefficients are
calculated based on the weighted distance between the observation and
its neighboring antecedent. And the deformed logistic function is adopted
to improve the interpolation results. Simulations are performed to
estimate the effectiveness of the proposed controller and the results
show that the proposed controller achieves better control quality with
higher control accuracy and faster response.
SunBIS-41
Fuzzy Control for Continuous-Time and
Finite-Time H ∞
Discrete-Time Nonlinear Systems
Dedong Yang
Hebei Univ.of Tech.
In this paper, the problem of finite-time H∞ fuzzy control for both
continuous-time and discrete-time nonlinear systems is considered. The
definitions and explanations about finite-time H∞ fuzzy control for both
continuous-time and discrete-time nonlinear systems are offered. Some
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theorems are obtained to guarantee the provided performance
requirements. The optimization algorithms are also designed to minimize
the provided performance level. Simulation examples are provided to
verify the effectiveness of the schemes.
SunBIS-42
Extending UML for the Modeling of Fuzzy Self-Adaptive Software
Systems
Deshuai Han
PLA Univ. of Scie. and Tech.
Qiliang Yang
PLA Univ. of Scie. and Tech.
Nanjing Univ
Jianchun Xing
PLA Univ. of Scie. and Tech.
Fuzzy self-adaptive software systems are a kind of fuzzy-control-based
systems that are proposed to deal with the emerging uncertainty problem
in the software self-adaptation process. The construction of such systems
has shown to be significantly more challenging than traditional systems
as a lack of appropriate modeling tools. To address this problem, we
introduce a modeling approach, entitled Fuzzy self-Adaptation ModEling
Profile (FAME Profile), which is based on the extension mechanisms of
UML. FAME Profile consists of a set of new stereotypes that correspond
to the key concepts within fuzzy self-adaptive software systems, and
three kinds of diagrams that provide analysis view, structural view and
behavioral view respectively. The FAME Profile can considerably ease
the modeling of fuzzy self-adaptive software systems and can be easily
incorporated into main stream UML development environments. We
illustrate the complete modeling process through a fuzzy self-adaptive
software system called FuzzyLon893OPCServer System.
SunBIS-43
A Simple and Efficient Diagonal Maze-solver for Micromouse
Contests and intelligent mobile robot education
JuingHuei Su
Lunghwa University of Scie. and Tech.
HsinHsiung Huang
Lunghwa University of Scie. and Tech.
ChyiShyong Lee
Lunghwa University of Scie. and Tech.
A simple and efficient time-based diagonal maze solver for classic and
half-size micromouse contesets is presented in this paper. The algorithm
is first developed in the graphical user interface development
environment (GUIDE) of MATLAB, and then used as a training and
tutorial tool for students who are involved in contests oriented projects
about intelligent mobile robots. It is also found that the firmware
implementation of the algorithm in a dsPIC 16-bit microcontroller
consumes just 4.2ms to finish searching for the best route from the start
cell to the goal area in a 16x16 maze of classic micromouse contests.
SunBIS-44
Iterative Learning Control Algorithm for a Class of Singular Systems
with Multiple Time-delays
Ting Hu
South China Univ. of Tech.
Senping Tian
South China Univ. of Tech.
Yanbo Luo
South China Univ. of Tech.
By using iterative learning control method, we study the output tracking
problem for a class of singular linear systems with multiple time-delays.
For a given singular linear multiple time-delays system, we propose a
kind of open-closed loop PD-type iterative learning control algorithm.
Then we discuss the convergence conditions of the open-closed loop
PD-type iterative learning control algorithm, and analyze completely the
convergence of the new algorithm.
SunBIS-45
The Teaching Experiment of Speech Recognition based on HMM
Mingjia An
Kunming Univ. of Scie. and Tech.
Zhengtao Yu
Kunming Univ. of Scie. and Tech.
Jianyi Guo
Kunming Univ. of Scie. and Tech.
Shengxiang Gao
Kunming Univ. of Scie. and Tech.
Yantuan Xian
Kunming Univ. of Scie. and Tech.
Because the basis of students' math and limited time,the voice
recognition is facing a dilemma. This article contact teaching practice.The
content of the article is divided into two types, one is voice recognition
principle, the other is speech recognition practice, We propose two types
of the weakening formula derivation and stressed that the process of
practice teaching ideas. In order to improve the students 'interest in
learning, deepen the students' understanding of speech recognition, we
present an example for the pilot teaching methods; The same time, we
have given some useful speech recognition practices, from the cultivation
of students' practical ability and scientific interest angle,the teaching
experiments in speech based on HTK platform(HTK is a kit of hidden
Markov model, HMM can be used to simulate any time series),It
describes a hidden Markov model speech recognition principle and
implementation process,design and realization of a speech recognition
system, Describes the principle of speech recognition, speech signal
pre-processing, speech training and recognition. Finally, the test results
indicate the feasibility of the model.
SunBIS-46
Implementation of the Line Maze Robot with Diagonal Motion
Control
HsinHsiung Huang
Lunghwa Univ. of Scie. and Tech.
127
2014CCDC
JuingHuei Su
Lunghwa Univ. of Scie. and Tech.
ChyiShyong Lee
Lunghwa Univ. of Scie. and Tech.
JhengYan Syu
Lunghwa Univ. of Scie. and Tech.
Shih-Wei Chao
Lunghwa Univ. of Scie. and Tech.
YiWei Chang
Lunghwa Univ. of Scie. and Tech.
The wheeled robots have become the interesting and important training
kits for students to learn to integrate those skills about hardware circuit
designs, firmware programming, motion control, and path planning
techniques in these past days. Therefore, a novel line maze robot kit with
diagonal path planning capabilities is presented as an example in this
paper to help students. The robot uses a 32-bit microcontroller with
floating point processing unit to 1) detect the track curve by using optical
sensors, 2) use gyro sensor to correct moving angles, 3) control the linear
and angular velocities of the robot, and 4) plan a diagonal path from the
start to the target. Although students could learn the abovementioned
topics in a special topic project, they may also design their own
mechanical structures and hardware circuits to improve furthermore the
performance of their robots, and they are happy to join to win prizes in
related contests.
SunBIS-47
Flux Observer of Induction Motor Based on “Assumed Inherent
Sensor” Inversion
Guohai Liu
Jiangsu Univ.
Manlu Wang
Jiangsu Univ.
Yuhan Ding
Jiangsu Univ.
Congli Mei
Jiangsu Univ.
Hui Jiang
Jiangsu Univ.
Jinxiang Cheng
Jiangsu Univ.
In induction motor vector control system, the obtaining of accurate rotor
flux is of essential significance.Based on the "assumed inherent sensor"
reverse principle, a new method for observing flux is proposed. It firstly
assumes that there exists a subsystem inside the induction motor, whose
inputs are just the to-be-estimated variables while outputs the
measurable variables and establishes the mathematical model of the
subsystem. Then it analyzes the reversibility of the subsystem according
to inverse system theory, and establishes the flux observer inverse
model. Compared with traditional observation method, the proposed
method provides a precise mathematical model with high measurement
accuracy for observing flux. Simulation results show that: the inverse
method of observation is extremely robust to changes of the rotor
resistance and load and can achieve an accurate observation of the rotor
flux.
SunBIS-48
A Noble Cross-Layer Protocol for QoS Optimization in Wireless
Sensor Networks
Peng Ji
Northeastern Univ.
Jingqi Jiang
Northeastern Univ.
Qiushuo Sun
Northeastern Univ.
Songyang Zhang
Northeastern Univ.
A good data transmission protocol should balance energy consumption,
packets collision and some other factors well. The traditional layer
protocol can’t sufficiently meet the complex requirement of data
transmission. So a new cross-layer communication protocol is proposed
to solve the balance issue. In the algorithm, a directed spanning tree
routing algorithm is discussed to resolve unnecessary energy
consumption during data transmission. Regarded as a key factor,
transmission power of node should be controlled to decrease the intensity
of communication contention. A NUM model is constructed to control
power. Based on Prim-dual Algorithm, a Lagrange dual function is
designed and optimal solution set of transmission power is deduced.
Make use of these cross-layer optimal schemes, WSNs achieve energy
efficiency and smooth communication mode. The simulation results show
that the performance of the proposed protocol is much better in energy
efficiency and improvement of communication throughput.
SunC01
Variable structure control
Chair: Liang Wu
CO-Chair: Bin Zhou
Room11A
15:40-17:40
Beihang Univ.
National University of Defense Tech.
15:40-16:00
SunC01-1
A Nonlinear Adaptive Control Approach for an Activated Sludge
Process Using Neural Networks
Meijin Lin
South China University of Tech.
Foshan Univ.
Fei Luo
South China University of Tech.
The activated sludge process is an important treatment method of civil
wastewater. Controlling of the activated sludge process is one of the
most important and challenging tasks because of its strong nonlinearities
and large uncertain dynamics. In this paper we present a nonlinear
adaptive control approach to solve the dissolved oxygen concentration
control problem for an uncertain wastewater treatment process. In the
controller design, all uncertain dynamics of the wastewater treatment are
approximated by using radial basis function (RBF) neural networks
(NNs). The proposed adaptive NN control can guarantee semi-global
Book of Abstracts
uniform boundedness of all the closed-loop system signals as rigorously
proved by Lyapunov synthesis. The control strategy is applied for an
activated sludge process with the pre-denitrification technique to remove
the nutrient nitrogen from the wastewater. The simulation studies are
presented to demonstrate the effectiveness of the proposed nonlinear
adaptive control approach.
16:00-16:20
SunC01-2
Sliding mode attitude controller design of a small-scale helicopter
Bin Zhou
National University of Defense Tech.
Shuai Tang
National University of Defense Tech.
Peng Li
National University of Defense Tech.
Zhiqiang Zheng
National University of Defense Tech.
In this paper, a robust sliding-mode controller is proposed for a
small-scale helicopter. The controller is designed by sliding-mode
concept combining with an extended state observer. Sliding mode
technique is adopted to derive the control law, and the extended state
observer is applied to estimate the neglected items and disturbances.
Together with these two approaches, attitude controller is designed to
force the actual attitude to converge to the reference signals. Several
simulations are carried out to evaluate the effectiveness of the proposed
method and the results show that the proposed controller yields excellent
performance and robustness.
16:20-16:40
SunC01-3
Sliding Mode Control of Pitch Angle for direct driven PM Wind
Turbine
Xin Wang
Hunan University of Tech.
Wanli Zhu
Hunan University of Tech.
Bin Qin
Hunan University of Tech.
Pengcheng Li
Hunan University of Tech.
The power generated by wind turbines appears to be instable at high rate
speed due to the stochastic nature of wind speed, system lagging and
nonlinearities, and involving time-variable parameters. To improve the
dynamic performance in the operation region of constant power output, a
sliding mode variable structure controller based on the analysis of the
features model of the variable pitch and the speed wind turbine generator
system is proposed. Moreover, to eliminate the chattering problem
caused by the sign function in the traditional controllers, a quasi-sliding
mode controller within the boundary layer is introduced. The pitch control
model of a 2MW permanent magnet direct-drive wind power system is
built and simulated. The simulation results show that the sliding mode
control with quasi sliding mode can cope with traditional chattering
problems in variable structure systems, and has such advantages as
strong robustness to changes in parameters and fast response.
16:40-17:00
SunC01-4
Stability Probability in Sliding Mode Control of Second Order
Markovian Jump Systems
Qing Zhu
Southeast Univ.
Xinghuo Yu
RMIT Univ.
Aiguo Song
Southeast Univ.
Shumin Fei
Southeast Univ.
Zhiqiang Cao
Chinese Academy of Scie.
Yuequan Yang
Yangzhou Univ.
This paper explores the relationship between system stability conditional
probability and the sliding mode control for second order continuous
Markovian jump systems. By using the stochastic process theory,
multi-step state transition conditional probability function is proposed for
the continuous time discrete stateMarkovian process. A sliding mode
control scheme is utilized to stabilize the continuous Markovian jump
systems. The system stability conditional probability function is derived. It
indicates that the system stability conditional probability is a
monotonically bounded non-decreasing non-negative piecewise right
continuous function of the control parameter. A numerical example is
given to show the feasibility of the theoretical results.
17:00-17:20
SunC01-5
Guidance Law Accounting for Second-order Dynamics of Missile
Autopilot and Impact Angle Constraints
Liang Wu
Beihang Univ.
Weihong Wang
Beihang Univ.
Shaofeng Xiong
Beihang Univ.
In this paper, a planar guidance law accounting for second-order
dynamics of missile autopilot and impact angle constraints is designed
using backstepping method and nonsingular terminal sliding mode
control (NTSM). Nonsingular terminal sliding mode was employed to
drive the line of sight (LOS) angle to a desired impact angle in finite time
without singularity. In backstepping design, some first-order low-pass
filters are introduced to avoid the occurrence of high-order derivatives of
LOS angular rate in the expression of guidance law. Using the Lyapunov
stability theorem, it is proved that all signals in the closed loop system are
ultimately bounded. Simulations of intercepting constant-acceleration
maneuvering targets and targets with sinusoidal acceleration show that
the guidance law still ensures the impact angle constraints and is able to
compensate the autopilot lag.
2014CCDC
17:20-17:40
SunC01-6
Research on chattering and limit cycle adjusting for output
feedback SMC based on frequency domain analysis
Yu Shen
Southwest Univ.
For multiple self-oscillations in sliding mode control (SMC) caused by
different initial values of state variables or external disturbance,
eliminating undesired limit cycles by rational tuning control system
parameters. Firstly, estimating the number and stability of limit cycles by
the generalized describing function (DF) approach; then adjusting the
open loop phase-frequency characteristic by parameters tuning to
eliminate undesired limit cycles; finally, the simulation results show the
effectiveness of the chattering adjusting method.
SunC02
Sensor network systems (II)
Chair: Wenchao Chen
CO-Chair: Li Duan
15:40-16:00
SunC02-1
The Design of Mission-oriented Management System for
Multi-sensors Network in Network-centric Warfare
Jiaqi Xu
Brigade of Graduated Students Naval Univ. of
Engineering
Li Duan
Naval Univ.of Engineering
QiYuan Li
Naval Univ.of Engineering
To cope with the complex, diverse and rapidly changing battlefield
environment sensing needs, a mission-oriented adaptive management
system for multi-sensors network in the network centric warfare is
proposed. Based on the principle of openness, adaptivity and robustness,
the mission decomposition model, Meta-task sequence diagram
construct method, sensor management plan optimization, and strategic
guiding are designed to generate the mission-oriented sensor
management plans. By virtue of the event response mechanism, the
system responses quickly to emergency battlefield situations and control
from the command system. It forms a feedback loop structure to improve
the effectiveness of the mission-oriented multi-sensor network
management.
16:00-16:20
SunC02-2
Research on Non-Destructive Measuring Moisture Content for
Packaged Tea Based on the LC Resonant Sensor
Ning Rao
Hangzhou Polytechnique Coll.
Antai Han
Hangzhou Polytechnique Coll.
This paper presents the design of a wireless, passive LC resonant sensor
based on classic circuit theory, and its application for quick,
non-destructive measuring moisture content of packaged tea. The
proposed LC resonant sensor is an inductive-capacitive resonant circuit,
which is made of a single planar capacitor and spiral inductor printed on a
humidity-sensitive insulating medium substrate. To measure moisture
content of packaged tea, the LC resonant sensor is embedded inside the
tea package. As the variation of the humidity inside the tea package, the
humidity-sensitive insulating medium substrate absorbs water vapor,
changing the planar capacitor’s capacitance and the sensor’s resonant
frequency, which is remotely detected through a coil connected to the
instrument for measuring moisture content outside the tea package.
Therefore, the moisture content of packaged tea can be indirectly
determined by measuring the change in sensor’s resonant frequency.
The experiment results show that the proposed method is reasonable,
and is comprised with the GB method, no significant deviation is found
between the measuring results. The difficult technological problem in how
to quick, accurate and non-destructive measuring moisture content of
packaged tea is solved.
16:20-16:40
SunC02-3
A kind of Routing Algorithm for Heterogeneous Wireless Sensor
Networks Based on Affinity Propagation
Ying Zhang
Shanghai Maritime Univ.
Changgang Ji
Shanghai Maritime Univ.
Wireless sensor network (WSN) is a kind of dynamic self-organizing
network. It can be applied to military, environmental monitoring, industry
and transportation fields. According to the characteristics of energy
constrained wireless sensor networks, it is more significant to design an
energy efficient wireless sensor networks in practice application. The
affinity propagation clustering algorithm, which is used for routing
algorithm of heterogeneous wireless sensor networks, was proposed in
this paper. Further, a kind of uneven clustering algorithm with topology
control based on energy and distance named APCDE (Affinity
Propagation Clustering based on Distances and Energy) was proposed
to solve the problem of uneven clustering in heterogeneous wireless
sensor network. The input of the Affinity Propagation algorithm was
redefined. The residual energy of the nodes and the distance between
the nodes and base station were considered in the process of clustering
to build the structure of uneven clustering. The dynamic multi-hop
transmission mode was adopted in the process of data transferring. The
simulation results show that APCDE algorithm can balance network
energy consumption and prolong the network life cycle efficiently.
16:40-17:00
128
Room6A
15:40-17:40
Civil Aviation Univ. of China
Naval Univ.of Engineering
SunC02-4
Book of Abstracts
Design of a Monitoring System of Airport Boarding Bridge Based on
ZigBee Wireless Network
Jihong Zhang
Civil Aviation Univ. of China
Wenchao Chen
Civil Aviation Univ. of China
In order to overcome the disadvantages of boarding bridge's collapse and
scraping the plane without early warning, a design of wireless fault early
warning and monitoring system combining ZigBee wireless
communication technology and variable sensors which are used to detect
vibration, position, and faults, was proposed. The structure of network,
the design of hardware and the software modules of the monitoring
system are discussed in detail. Experiments show that the application of
wireless ZigBee technique with low cost and low-power dissipation
makes the monitoring system of airport boarding bridge more flexible and
shortens the troubleshooting time. Besides, it could eliminate the
cumbersome problem of overall fault diagnosis on site.
2014CCDC
observer algorithm was generalized to ramp disturbance and high order
disturbances in time series expansion by incorporating the higher order
integrals. Simulation examples were illustrated to show the effectiveness
and advantages of the proposed algorithms.
17:00-17:20
SunC02-5
Trust-based QoS Routing Algorithm for Wireless Sensor Networks
Junwei Wang
Northeastern Univ. at Qinhuangdao
Haifeng Wang
Northeastern Univ. at Qinhuangdao
With the rapid development of Wireless Sensor Networks (WSNs),
besides the energy efficient, Quality of Service (QoS) supported and the
validity of packet transmission should be considered under some
circumstances. In this paper, according to summing up LEACH protocol’s
advantages and defects, combining with trust evaluation mechanism,
energy and QoS control, a trust-based QoS routing algorithm is put
forward. Firstly, energy control and coverage scale are adopted to keep
load balance in the phase of cluster head selection. Secondly, trust
evaluation mechanism is designed to increase the credibility of the
network in the stage of node clusting. Finally, in the period of information
transmission, verification and ACK mechanism also put to guarantee
validity of data transmission. In this paper, it proposes the improved
protocol. The improved protocol can not only prolong nodes’ life
expectancy, but also increase the credibility of information transmission
and reduce the packet loss. Compared to typical routing algorithms in
sensor networks, this new algorithm has better performance.
16:40-17:00
SunC03-4
Adaptive Parameter Estimation with Guaranteed Prescribed
Performance
Juan Yang
Kunming Univ. of Scie.& Tech.
Jing Na
Kunming Univ. of Scie.& Tech.
Xing Wu
Kunming Univ. of Scie.& Tech.
Yu Guo
Kunming Univ. of Scie.& Tech.
This paper presents a novel adaptive parameter estimation framework for
linearly parameterized nonlinear systems, which can guarantee the
prescribed error convergence performance (e.g. overshoot, convergence
rate). By introducing appropriate filter operations, an explicit expression
of parameter estimation error is obtained. Then a prescribed performance
function (PPF) and the associate transform are proposed, such that
parameter estimation can be reduced as a regulation problem of the
transformed system by designing an adaptive law. To this end, a novel
adaptive law based on the obtained parameter estimation error is
developed, such that the error convergence can be guaranteed to be
within the prescribed bound. The parameter estimation is obtained
without using the measurement of the state derivatives and is
independent of any observer/predictor design. Simulation results illustrate
that the proposed methods can achieve faster transient and better
steady-state performance than some available results.
17:20-17:40
SunC02-6
Posture Recognition for the Elderly Based on Wireless Sensor
Networks
Ye Shang
Northeastern Univ.
Zhigang Liu
Northeastern Univ.
Jinkuan Wang
Northeastern Univ.
Wireless-sensor-network-based home monitoring for elderly activity
behavior involves functional assessment of daily activities. In this paper,
a mechanism for estimation of elderly postures through various sensors
is presented. The data from the triaxial acceleration sensor placed on the
waist and the pressure sensors placed under the insoles are consolidated
by the coordinator to distinguish the posture of the elderly, such as
standing, sitting, walking, and falling down. The developed system for
monitoring and discrimination of the elderly postures is tested through the
obtained data in the laboratory and the results are encouraging in
distinguishing postures of the elderly.
SunC03
Identification and estimation (II)
Chair: Zhizhong Mao
CO-Chair: Wenfeng Tan
Room7A
15:40-17:40
Northeastern Univ.
National Univ. of Defense Tech.
15:40-16:00
SunC03-1
Effect of Shock Absorbers’ Deformation on RLG’s Bias Temperature
Modeling
Wenfeng Tan
National Univ. of Defense Tech.
Chunsheng Hu
National Univ. of Defense Tech.
Xingshu Wang
National Univ. of Defense Tech.
The deformation of shock absorbers has a great impact on gyro bias
output during the system-level temperature modeling of gyro bias. In this
paper, two ways of shock absorbers’ effect on gyro bias output are
proposed: change of the Earth's rotation component and slow movement
of IMU apperceived by gyro. This paper analyzes the change of the
Earth's rotation component caused by the change of gyro’s sensitive axis.
The effect of IMU’s slow movement is estimated. A method on how to
place the gyro to weaken the impact of shock absorbers’ deformation is
proposed. The effect of shock absorbers’ deformation on bias’
temperature model and accuracy of temperature compensation is
analyzed through simulation.
16:00-16:20
SunC03-2
A Unified Observer for High Order Disturbances in Time Series
Expansion
Qing Liang
Univ. of Scie. and Tech. of China
Zhen Wang
Univ. of Scie. and Tech. of China
Jinwen Pan
Univ. of Scie. and Tech. of China
Yiheng Wei
Univ. of Scie. and Tech. of China
A unified observer of high order disturbances in time series expansion for
a class of nonlinear systems was proposed in this paper. The stability of a
special observer from selecting the nonlinear weighted function was
analyzed for constant disturbance. Then the constant disturbance
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16:20-16:40
SunC03-3
An Identification Algorithm for Hammerstein-Wiener System with
Dead Zone Input Nonlinearity Using Gradient Method
HyokChan Hong
Northeastern Univ.
Zhizhong Mao
Northeastern Univ.
This paper proposes a new algorithm for the identification of
Hammerstein-Wiener system with dead zone input nonlinearity. This
method is a combination of least square method and gradient method.
The algorithm is simple and will give a precise identification result.
17:00-17:20
SunC03-5
The Research of Underwater Image De-noising Method Based on
Adaptive Wavelet Transform
Fei Lei
Beijing Univ. of Tech.
Yingying Wang
Beijing Univ. of Tech.
For the problem of underwater image de-noising, a new method based on
adaptive wavelet combining adaptive threshold selection with adaptive
output of the threshold function is proposed. Considering the underwater
image with low SNR, contrast imbalance, and poor image quality, first
some pre-processing should be done before wavelet threshold
de-nosing. Then,we adopt adaptive wavelet combining adaptive
threshold selection with adaptive output of the threshold function for the
image de-noising. Finally the simulation results show that the proposed
method not only removes noise effectively, improves image output peak
signal-to-noise ratio (PSNR), but also yields superior vision quality and
embodies the superiority of wavelet de-noising.
17:20-17:40
SunC03-6
KPCA-ARX Time-space Modeling for Distributed Parameter System
Jingjing Yang
Zhejiang Univ.
Jili Tao
Zhejiang Univ.
Modeling of distributed parameter systems (DPSs) is difficult because of
their infinite dimensional time-space nature. For a class of nonlinear
distributed parameter systems described by parabolic partial differential
equations (PDEs), Kernel Principal Component Analysis (KPCA) method
is utilized to extract the nonlinear basis functions in dominant space, and
the time-space decomposition is carried out in terms of these basis
functions to obtain the outputs in time domain. Since the dominant space
extraction is influenced by the parameters of kernel functions, they are
optimized by Genetic Algorithm (GA) to obtain more system information
with less principal components. The input stimulation and time domain
outputs are used to construct the ARX model, which is identified by the
recursive least squares algorithm. The simulation results show that the
proposed method can obtain more system information with less principal
components and gain satisfying reconstruction accuracy.
SunC04
Room7B
Decision supporting system and production planning and
scheduling (I)
15:40-17:40
Chair: Dingwei Wang
Northeastern Univ.
CO-Chair: Wenyan Tang
Hunan Univ. of Technology
15:40-16:00
SunC04-1
Scheduling a Constrained Hybrid Flow Shop Problem by Heuristic
Algorithm
Yanhui Yu
Northeastern Univ. at Qinhuangdao.
Tieke Li
Univ. of Scie. and Tech. Beijing
Due to the closeness between theory and industrial practice, the
scheduling problem has been investigated by many experts and
Book of Abstracts
practitioners. The mode of continuous casting and hot charge rolling in
the steel making is one of the important research areas. Limited buffers
and due dates of jobs which characterize the problem here investigated.
Based on the analysis from a new angle, a hybrid algorithm, which
includes heuristic repairing and neighborhood search, is proposed. In the
first phase, jobs are processed by problem dependent heuristic rules.
Subsequently, two rules are given to reduce the idle time in buffers of jobs
and minimizing the cost of tardiness. Finally, the neighborhood search is
performed to improve objectives. From the experiments, the affect of two
rules to the results are compared and analyzed. The experiments also
show the hybrid algorithm is feasible and effective.
16:00-16:20
SunC04-2
Mixed Packing Strategy for Mass-Product Distributions and Its
Minimum Unpacking Problem
Dingwei Wang
Northeastern Univ.
Packing and unpacking are necessary operations in the product
distribution processes of mass manufacturing. To reduce unpacking
operation numbers, some Chinese enterprises designed an innovative
packing strategy. It is refereed as “Multi-Type Mixed Packing with Variable
Ratio”. The new packing strategy generates a new optimization problem
named as “Minimum Unpacking Problem”. We propose the mathematical
model and solution approach of minimum unpacking problem. By using
the model and solution approach, the performances of three kinds of
packing strategies which are the suggested mixed packing strategy, and
single-type packing strategy and fixed ratio mixed packing strategy, are
compared by simulation for a lot of different situations including different
sizes, different supply-demand rate, and different distributions of
demands. The applicable cases for each packing strategies are pointed.
The simulation results have shown us that the suggested variable mixed
packing strategy can greatly reduce the unpacking operation numbers in
the distribution processes of mass-made products by using minimum
unpacking optimization. It can bring considerable profits to the
enterprises.
16:20-16:40
SunC04-3
A Surgery Block-Scheduling Strategy with Stochastic Demand
Yu Wang
State Key Lab of Synthetic Auto. of Process
Indu.,Northeastern Univ.
Jiafu Tang
State Key Lab of Synthetic Auto. of Process
Indu.,Northeastern Univ.
In this paper, we investigated the efficient management of operating room
in hospitals. We present a stochastic model with the objective of
minimizing the operating costs of hospital. The patient preference and
stochastic surgery demand are considered in the model, and then a
column generation (CG)-based preference algorithm is proposed to solve
the issue of surgery block-scheduling problem. By means of a large
number of computational experiments we provided an idea of the
cost-saving opportunities.
16:40-17:00
SunC04-4
A Job Shop Scheduling System Based on Parallel Control
Mechanism
Yanhong Wang
Shenyang Univ. of Tech.
Yehong Zhang
Shenyang Univ. of Tech.
Qan Zhang
Shenyang Univ. of Tech.
Hongxia Yu
Shenyang Univ. of Tech.
Job shop scheduling has been an active area of research for several
decades. However, there seems to have been a significant gap between
the theoretical research in academia and practical application in industry.
The scheduling system, which are developed aiming at the vast library of
benchmark problems, usually faces some challenges when applying in
the real manufacturing environment to support the day-to-day running of
a factory. This paper will present a job shop scheduling system, which is
inspired by the Parallel Control Mechanism. The system consists of two
interacting subsystems, the artificial sub-system, which could provide
optimal scheduling scheme, and the actual one, which would re-generate
the schedule according to the real would situation. A hybrid scheduling
strategy is proposed, which supports the system to make scheduling
decision in job shop that operates in a dynamic environment. The
strategy harmonize the different approaches, ant colony optimization
algorithm, rule-based scheduling, or real-time simulation, into a unified
framework, and therefore can be used as an online scheduler. The
presented system and strategy offers better performance than
conventional single-optimal-algorithm-based scheduling system.
17:00-17:20
SunC04-5
Resource conflict resolution method for software projects using
fuzzy critical chain
Yan. Guo
Zhejiang Univ.
Chao. Dong
Ningbo Dahongying Univ.
This paper develops a fuzzy critical chain method for resource conflict
resolution in software projects scheduling. The method consists of
developing a novel fuzzy estimation technique based on Delphi for
activity duration, and adding the capacity constraint buffer between
neighboring projects to deal with resource conflict. The size of the
capacity constraint buffer is determined by computation with the
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2014CCDC
complexity, resource tightness and safety time of the capacity constraint
activity. Finally, the result of a numerical example shows that this method
is able to provide the sufficient staggered time for the whole projects.
17:20-17:40
SunC04-6
Research on China’s Food Industry Security early Warning Based
on Prospect Theory
Kangning Zheng
Beijing Jiaotong Univ.
Kai Yang
Army Aviation Univ.
Problem of grain supply and demand is an important problem, one of the
focuses of China, especially the problem of grain supply and demand for
the country’s economic development, political stability and social
progress are of very important significance. Based on prospect theory
this article studies the problem of China’s food supply and demand, to
build the prediction model of grain supply and demand prospect theory.
And this paper uses the GM (1, 1) model to verify validity of the building
model, this article constructs a model of grain supply and demand can be
more accurate for the country’s grain supply and demand for scientific
forecast.
SunC05
Networked control systems (lI)
Chair: Yuanqing Xia
CO-Chair: Bo Xiao
Room8A
15:40-17:40
Beijing Institute of Tech.
Wuhan Univ. of Scie. and Tech.
15:40-16:00
SunC05-1
Stabilization of Networked Control Systems with Packet Loss and
Channel Uncertainty
Jianjun Dong
Beijing Institute of Tech.
Yuanqing Xia
Beijing Institute of Tech.
This paper considers the stabilization problem of networked control
systems concerned both bounded channel uncertainty and arbitrary
packet loss. Based on a previous approach which considers packet loss
only, this paper proposes a new model to describe the NCS with both
packet loss and channel uncertainty in an unified framework. The stability
conditions of networked control systems are given by a common
quadratic Lyapunov function approach. We give an approach to design
the dynamic feedback controller via solving linear matrix inequalities
(LMIs). Finally, a numerical example with simulations is given to show the
effectiveness of the approach.
16:00-16:20
SunC05-2
Multivariable Optimal Performance under Packet Loss for
Networked Control Systems
Bo Xiao
Wuhan Univ. of Scie. and Tech.
Bin Liu
Wuhan Univ. of Scie. and Tech.
Mengmeng Wang
Wuhan Univ. of Scie. and Tech.
This paper focuses on the optimal tracking performance of unstable
models. The work is presented for discrete time, linear time-invariant and
finite-dimensional networked control systems. An integral square error
criterion, between the reference signal and output, is adopted to measure
the tracking performance. The explicit expression of optimal tracking error
has been obtained. The plant under consideration is assumed to have
non-minimum phase (NMP) zeros, unstable poles and data packet loss.
The results show that data packet loss, NMP zeros and unstable poles,
can worsen the tracking performance. Specifically, the allowable
maximum data packet loss rate is calculated in the example.
16:20-16:40
SunC05-3
Research on Cross-communication Based on Real-time Ethernet
POWERLINK
Haiya Xu
North Automatic Control Tech. Institute
Yan Gao
North Automatic Control Tech. Institute
Kemin Liu
North Automatic Control Tech. Institute
Bo Zhu
North Automatic Control Tech. Institute
Chao Zhang
North Automatic Control Tech. Institute
To the problem that current real-time Ethernet POWERLINK cannot
implement cross-communication, this paper proposes a scheme to
implement cross-communication based on mastering the real-time
Ethernet POWERLINK. The cross-communication between any two
nodes in the network can be achieved by customizing the protocol stack
of the real-time Ethernet POWERLINK and configuring the network
parameters. Cross-communication is a crucial application for the
technology of the real-time Ethernet POWERLINK. On one hand,
cross-communication can expand the scope of the interaction of
information from line to surface by improving the information transmission
rate of network. On the other hand, cross-communication allows
distributed design for network, thereby improving the stability and safety
of system connected by real-time Ethernet POWERLINK. Experiments
show that this scheme can improve the data transmission efficiency of the
network to a certain extent.
16:40-17:00
SunC05-4
Optimal Control of Linear Discrete-Time Systems with Quantization
Effects
Weizhou Su
South China Univ. of Tech.
Jie Chen
Hong Kong City Univ.
Book of Abstracts
Minyue Fu
Newcastle Univ.
Tian Qi
South China Univ. of Tech.
This paper studies optimal control designs for networked linear
discrete-time systems with quantization effects and/or fading channel.
The quantization errors and/or fading channels are modeled as
multiplicative noises. The H2 optimal control in mean-square sense is
formulated. The necessary and sufficient condition to the existence of
optimal H2 control via state feedback is presented for the systems. It is a
nature extension for the result in standard optimal discrete-time H2 state
feedback design. It is shown that this optimal state feedback design
problem is eigenvalue problem (EVP) and the optimal design algorithm is
developed.
17:00-17:20
SunC05-5
Local Hopf bifurcation analysis of Compound TCP with an
Exponential-RED queue management policy
Sai Prasad
Indian Institute of Tech. Madras
Gaurav Raina
Indian Institute of Tech. Madras
The analysis of TCP, along with queue management policies, forms an
important aspect of performance evaluation for the Internet. In this paper,
we analyse a non-linear fluid model for Compound TCP (C-TCP) coupled
with an Exponential-RED (E-RED) queue management policy.
Compound is an important flavor of TCP, as it is the default transport
protocol in the Windows operating system. For the bifurcation analysis,
we motivate an exogenous and non-dimensional bifurcation parameter.
Using this parameter, we first derive the Hopf bifurcation condition for the
underlying model. Then, employing Poincar´e normal forms and the
center manifold theory, we outline the analysis to characterise the type of
the Hopf bifurcation, and determine the stability of the bifurcating periodic
solutions. Some numerical analysis and stability charts complement our
theoretical analysis.
17:20-17:40
SunC05-6
Research on the Test of Maintenance Support Force System Based
on the Theory of Complex Network
Zhen Han
Ordnance Engineering Coll.
Yu Lu
Ordnance Engineering Coll.
Ping Gu
Ordnance Engineering Coll.
In order to test and guide the maintenance support force system of our
army, a research idea based on complex network is supposed on testing
maintenance support force system after analyzing the similarity between
the system and complex network. Selecting the structure of a system in
the different time as the research object, a topology model is established.
In the end, we calculate the average path time, clustering coefficient,
node centrality, and quality performance, etc. The calculated results
validate the correctness of our construction route and carry out the further
guidance of the construction direction.
17:40-18:00
SunC05-7
Stability and Hopf bifurcation analysis of TCP with a RED-like queue
management policy
Sai Prasad
Indian Institute of Tech. Madras
Gaurav Raina
Indian Institute of Tech. Madras
We analyse a non-linear fluid model of TCP coupled with a Random Early
Detection (RED)-like queue management policy. We first show that the
conditions for local stability, as parameters vary, will be violated via a
Hopf bifurcation. Thus, a stable equilibrium would give rise to limit cycles.
To identify the type of the Hopf bifurcation, and to determine the stability
of the bifurcating limit cycles, we apply the theory of normal forms and the
center manifold analysis. Some numerical computations accompany our
theoretical work.
SunC06
Data processing (I)
Chair: Ziyang QI
CO-Chair: Shengnan Cui
Room8B
15:40-17:40
Harbin Institute of Tech.
Northeastern Univ.
15:40-16:00
SunC06-1
A Hybrid Forecasting Approach for HRG Parameters Based on
Output Time Series
Ziyang QI
Harbin Institute of Tech.
Qinghua LI
Harbin Institute of Tech.
Guoxing YI
Harbin Institute of Tech.
Haibin Fang
China Electric Tech. Group Corporation
A hybrid forecasting model is proposed to predict the parameters of
hemispherical resonator gyro(HRG) output time series. The hybrid
forecasting methodology consists of an ARIMA model and a SVM model
for the linear and nonlinear components, respectively. In the simulation,
the proposed model is more accurate than single model in term of MAE
and RMSE. Afterwards, the failure judgments are discussed, concluding
the reason why performance deterioration leads to failure.
16:00-16:20
SunC06-2
Time Series Forecasting of Medicare Fund Expenditures Based on
Historical Data ----Taking Dalian as an Example
Gang Qu
Northeastern Univ.
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2014CCDC
Shengnan Cui
Northeastern Univ.
Jiafu Tang
Dongbei Univ. of Finance and Economics
With the development of medical and health services, as well as the
advance of treatment technology, there are more health demands in our
society. The rapid growth of the absolute value of medicare fund
expenditures has put lots of pressures on countries’ national health care
system. However, the medical insurance fund is the direct key to the
health care system. The increases of fund expenditures may cause a
relatively shortage of fund and put pressures on the sustainable health
care development. To respond to these issues, this paper analyzes the
impact of medicare indicators on the medicare fund expenditures, and
forecasts the monthly expenditure of medicare fund based on the method
of time series forecasting, based on the historical data of medicare fund
in the recent 5 years of Dalian, in order to prepare for policy adjustments
and early warning. Eventually, it shows that medicare fund balances exist
significant mean difference between the group of different medicare
indicators. And forecasting error is 6.72%, which meets the actual
demand.
16:20-16:40
SunC06-3
Feature Extraction by Correntropy Based Average Neighborhood
Margin Maximization
Lin-Na Ma
Hebei Univ.
Hong-Jie Xing
Hebei Univ.
Shun-Yan Hou
Hebei Univ.
Average neighborhood margin maximization (ANMM) is a feature
extraction method to make homogeneous points collect as near as
possible and heterogeneous points disperse as far away as possible. To
enhance the anti-noise ability of ANMM, correntropy based average
neighborhood margin maximization (CANMM) is proposed in this paper.
This method utilizes correntropy to substitute the Euclidean distance for
measuring the similarity between the given data, and uses the maximum
correntropy criterion to replace the maximum distance criterion, which
makes CANMM more robust. The experimental results on three
benchmark face databases validate the effectiveness of the proposed
method.
16:40-17:00
SunC06-4
Wind Turbine Gearbox Forecast Using Gaussian Process Model
Xueru Wang
North China Electric Power Univ.
Jin Zhou
North China Electric Power Univ.
Peng Guo
North China Electric Power Univ.
For wind farms, wind turbine condition monitoring is important to reduce
maintenance costs and improve the competitiveness in the electricity
market, particularly for offshore wind farms. This paper seeks to establish
wind turbine gearbox temperature model under the normal working state
using Gaussian process, the forecast and evaluation of temperature is
also described. Within the Bayesian context, the paper aims to training
Gaussian process, using the maximum likelihood optimized approach to
find the optimal hyperparameters. For large-scale regression tasks, a
novel method using Cholesky decomposition to avoid ill-conditioned
matrix is described. Another method using matrix caching to speed up the
inverse of matrix calculation is proposed. In addition, the optimized
Gaussian model is used to predict the gearbox validation data and
compare with SVM (support vector machine) and BPNN (neural network)
this two methods. By comparing the simulation results, Gaussian process
gearbox temperature model demonstrates higher prediction accuracy.
The model is a valuable object for condition monitoring.
17:00-17:20
SunC06-5
Algorithm for Attribute Relative Reduction Based on Generalized
Binary iscernibility Matrix
Tengfei Zhang
Nanjing Univ. of Posts and Telecommunications
Xingxing Yang
Nanjing Univ. of Posts and Telecommunications
Fumin Ma
Nanjing Univ. of Finance and Economics
The classical rough set theory, based on complete information system,
can not directly deal with incomplete information system. This problem is
solved to some extent by developing different kinds of extended rough set
models. However, there is still not a unified definition for attributes relative
reduction based on the extended rough set models. In this paper, a kind
of generalized binary discernibility matrix for several typical extended
rough set models was introduced, and a new algorithm for attribute
relative reduction based on the generalized binary discernibility matrix
was proposed. The feasibility of the proposed methods was
demonstrated by the simulation and experiment analysis.
17:20-17:40
SunC06-6
Multilinear Mean Component Analysis for Gait Recognition
Yawei Tian
Shandong Univ.
Xianye Ben
Shandong Univ.
Peng Zhang
Shandong Univ.
Menglei Sun
Shandong Univ.
In this paper multilinear mean component analysis (MMCA) is introduced
as a new algorithm for gait recognition. Compared with traditional PCA
and MPCA, the new method MMCA is based on dimensionality reduction
by preserving the squared length, and implicitly also the direction of the
mean vector of the each mode’s original input. The solution is not
Book of Abstracts
necessarily corresponding to the top eigenvalues. MMCA improved the
clustering results and reduced the small sample size (SSS) problem and
has great convergence. MMCA as a feature extraction tool provides
stable recognition rates and the MMCA-based approaches we proposed
achieves better performance for gait recognition based on the University
of South Florida (USF) HumanID Database.
SunC07
Control applications (III)
Chair: Lei Yuan
CO-Chair: Rongzi Yao
Room9A
15:40-17:40
Jilin Univ.
Jilin Univ.
15:40-16:00
SunC07-1
The Design of TCS Controller for Four Wheel Independent-Drive
Electric Vehicle Based on ADRC
Lei Yuan
Jilin Univ.
Hong Chen
Jilin Univ.
Natiaonal Automaobile Dynamic Simulation Lab.
Bingtao Ren
Jilin Univ.
In order to prevent the electric vehicle wheels from spinning out on
low-friction coefficient [low- ] roads, the electric vehicle traction control
system (TCS) based on active disturbance rejection control (ADRC) is
carried out in this paper. Firstly, we set an optimal longitudinal slip ratio as
the control target, and consider the motor current and load torque as
internal and external disturbance, which can be respectively observed by
extended state observer. Secondly, design the electric vehicle TCS
system in simulink by using the second order ADRC controllers. Besides,
apply the advanced simulation software AMESim to build the four wheel
independent-drive electric vehicle model with in-wheel motor structure.
Then build the co-simulation model using AMESim and simulink, and
adjust the parameters of the ADRC controller and electric vehicle model.
Finally, we run the simulation on both the straight and steering low- road
conditions and verify the effectiveness of the control algorithm.
16:00-16:20
SunC07-2
Torque Tracking Control of Permanent Magnet Synchronous
in-Wheel Motor for Electric Vehicle
Rongzi Yao
Jilin Univ.
Xiaohua Xie
Jilin Univ.
Natiaonal Automaobile Dynamic Simulation Lab.
Hong Chen
Jilin Univ.
Natiaonal Automaobile Dynamic Simulation Lab.
Due to the strongly coupled characteristics of permanent magnet
synchronous motors (PMSM), the feedback linearization method is
presented to decouple the torque current and the flux current in the
dynamic state, and control both currents respectively to achieve a quick
and precise torque tracking control. Then, the effectiveness of the control
method is validated by an effective simulation model of PMSM based on
AMESim. Finally, the simulation results are analyzed and compared with
PID control method. The simulation results show that the proposed
method in this paper has better torque tracking performances.
16:20-16:40
SunC07-3
A Kaldor-Kalecki model of business cycles: stability and limit cycles
Sreelakshmi
Indian Institute of Tech.Madras
Manjunath
Debayani Ghosh
Indian Institute of Tech.Madras
Gaurav Raina
Indian Institute of Tech.Madras
Combining ideas proposed by Kaldor and Kalecki leads to a non-linear,
time delayed, model for business cycle dynamics. In this paper, we
analyse the stability and the local Hopf bifurcation properties of a
Kaldor-Kalecki type model. In the analysis of such models, it is common
to assume that the time delay continuously varies, and hence it is treated
as a bifurcation parameter. However, this may not be a realistic
assumption in various economic environments. We use an exogeneous,
and non-dimensional, parameter as the bifurcation parameter to show
that the underlying system undergoes a local Hopf bifurcation. Further, as
this parameter gradually varies beyond the Hopf condition, we expect
limit cycles to emerge from the stable equilibrium. We then, using
Poincar´e normal forms and the center manifold theory, outline the
analysis to verify the type of the Hopf bifurcation and determine the
stability of the limit cycles. The theoretical analysis is illustrated with some
numerical examples.
16:40-17:00
SunC07-4
Improved Virtual Flux Observer Based on Orthogonal Feedback
Compensation Suitable for Direct Power Control Application
Xiao Xiong
Univ.of Scie.and Tech.Beijing
Yongjun Zhang
Univ.of Scie.and Tech.Beijing
Wang Jing
Univ.of Scie.and Tech.Beijing
Yongkang Zhang
Univ.of Scie.and Tech.Beijing
Tiezhu Chen
Univ.of Scie.and Tech.Beijing
Xiaoqing Zhang
Univ.of Scie.and Tech.Beijing
In the case of PWM rectifier unsteady virtual flux amplitude caused by
grid voltage instability. We can't achieve constant flux amplitude
saturation limit. In order to eliminate the errors caused by direct current
drift and initial value in voltage model based flux estimation of direct
power control system, a new virtual flux observer based on virtual flux
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2014CCDC
linkage to be perpendicular to grid voltage, it depends on the adaptive
controller to adjust the compensated reference flux, for the fast and
accurate tracking of flux changes caused by the grid voltage fluctuations.
The new simple structure of flux observer is easily achieved in the
engineering without proportion integral regulator. Experimental results
show that the orthogonal feedback compensation theory can effectively
restrain the saturation feedback and direct current drift while dynamic
error is diminished, improve the precision of virtual flux estimation
efficiency, and also improve the directional accuracy of system as well as
its dynamic and static performance.
17:00-17:20
SunC07-5
Sensorless Control of SPMSM using Complex Number Model based
Position Estimation and EKF
Longhu Quan
Northeastern Univ.
Zhanshan Wang
Northeastern Univ.
Xiuchong Liu
Northeastern Univ.
This paper provides an improvement in sensorless control performance
of surface permanent magnet synchronous motor (SPMSM). One method
of the rotor position estimation by the complex number model based
position estimator is proposed for the sensorless control of SPMSM. And,
in order to eliminate the position estimation error that may be occurred by
the uncertainty of motor parameters, a position type PI controller is
applied to the error part of the position estimator. The proposed position
estimation method does not need any information about the mechanical
system of a motor. A control scheme to identify the permanent magnet
flux of SPMSM by Extended Kalman Filter (EKF) is also proposed to
increase the rotor position estimation accuracy. A rotor-flux-oriented
vector control is employed as the basic control strategy for SPMSM drive
system. The simulation results demonstrated the validity and feasibility of
the proposed control system.
17:20-17:40
SunC07-6
Adaptive Filtering Design for In-Motion Alignment of INS
Tong Liu
Beijing Institue of Tech.
Qian Xu
Beijing Institue of Tech.
Yuejun Li
The North Huaan Industrial Group Co.Ltd.
Misalignment angles estimation of strapdown inertial navigation system
(INS) using global positioning system (GPS) data is highly affected by
measurement noises, especially with noises displaying time varying
statistical properties. Hence, adaptive filtering approach is recommended
for the purpose of improving the accuracy of in-motion alignment. In this
paper, a simplified form of Celso’s adaptive stochastic filtering is derived
and applied to estimate both the INS error states and measurement noise
statistics. To detect and bound the influence of outliers in INS/GPS
integration, outlier detection based on jerk tracking model is also
proposed. The accuracy and validity of the proposed algorithm is tested
through ground based navigation experiments.
SunC08
Room9B
Planning, scheduling and coordination (I)
15:40-17:40
Chair: Xingquan Zuo
Beijing Univ. of Posts and
Telecommunications
CO-Chair: Cheng Zhu
National Univ. of Defense Tech.
15:40-16:00
SunC08-1
A multi-objective genetic algorithm based bus vehicle scheduling
approach
Cheng Chen
Beijing Univ. of Posts and Telecommunications
Xingquan Zuo
Beijing Univ. of Posts and Telecommunications
Vehicle scheduling problem of urban bus line is complex and involves
multiple objectives. Currently, existing approaches incorporate those
objectives in a linear fashion to form a single objective and then use a
single objective optimization approach to solve it. However, these
approaches can only produce one solution and it is not easy to assign a
proper weight for each objective to get a superior solution that can
balance the preferences of different objectives. In this paper, an improved
NSGA-II is proposed to create a set of Pareto solutions for this problem.
This approach is applied to a real-world vehicle scheduling problem of a
bus line. Experiments show that this approach is able to quickly produce
satisfactory Pareto solutions, which outperforms the actually used
experience-based solution.
16:00-16:20
SunC08-2
Hybrid Appointment for a Single-Physician Clinic with No-Shows
and Overbooking
Pingping Cao
Northeastern Univ.
Jiafu Tang
Dongbei Univ. of Finance and Economics
Motivated by observations of actual clinic operations, we design a hybrid
appointment system (HAS) for a single-physician clinic, in which the
system serves a mix of acute and chronic-care patient by allowing both
advance and same-day bookings to increase patient satisfaction.
Because of the existence of no-shows of regular patients who book in
advance, to maintain their revenue, clinics must carefully manage
patients’ access to balance the needs of regular patients with no-shows
and same-day patients who always show up for their same-day
appointments. In order to offset the negative effect of regular patients’
no-shows on clinic revenue, overbooking is introduced into this system.
Book of Abstracts
The clinic decides which appointment requests are accepted to maximize
revenue. For this purpose, A Markov Decision Process (MDP) model with
regular patients’ no-shows and overbooking is formulated. We
characterize the structure of the optimal policies of the model. We prove
that there exists anappointments’ threshold on the optimal policy for the
model, and the threshold increases with the increase of no-show
probability.
16:20-16:40
SunC08-3
Multi-vehicle Coordination and Flexible Scheduling based on
Simulated Annealing Algorithm
Cheng Zhu
National Univ. of Defense Tech.
Luohao Tang
National Univ. of Defense Tech.
Weiming Zhang
National Univ. of Defense Tech.
In this paper, we consider a multi-vehicle coordination problem (MVCP),
in which heterogeneous vehicles with different resources cooperate to
accomplish a set of tasks. The distinct characters of MVCP are the
duration of each task may vary within a given interval, and the objective is
to allocate and schedule the vehicles to maximize the total time slacks
between tasks given the deadline. The time slack represents the fleet's
capability to tolerate the temporal uncertainty. A model for MVCP is built
and a solving method based on the Simulated Annealing Algorithm is
proposed. The result of experiments shows the efficiency of the method.
16:40-17:00
SunC08-4
Rolling Horizon Scheduling Procedure for SWRO Desalination Plant
under Uncertain Freshwater Demand
Jian Wang
Zhejiang Univ.
Hangzhou Dianzi Univ.
Lekai Lian
Hangzhou Dianzi Univ.
Xiaolong Wang
Hangzhou Dianzi Univ.
Jiangzhou Shu
Hangzhou Dianzi Univ.
Ping Li
Zhejiang Univ.
The rescheduling problem of seawater reverse osmosis (SWRO)
desalination plant under uncertain freshwater demand is studied. A
rescheduling model of this problem is built, which is a bi-objective
optimization with criterions of efficiency and stability. A rolling horizon
scheduling (RHS) procedure is used to solve this problem. The
framework of RHS is structured. A differential evolution (DE) algorithm is
used to compute the solution, and its steps are described. The simulation
results of a large-scale SWRO desalination plant with fluctuations in
freshwater demand show that the performance of RHS is satisfied.
17:00-17:20
SunC08-5
Optimized Decision of the Bounded Rationality Newsboy under
CVaR
Yongmei Liu
Central South Univ.
Sixuan Chen
Central South Univ.
For the problem of the bounded rationality newsboy’s order decision, we
use the CVaR risk measurement criteria, the Arrow-Pratt risk aversion
parameter and utility function, to establish a more realistic bounded
rationality newsboy model, and optimized the model with the buy-back
contract and revenue sharing contract. Result shows that the existence of
bounded rationality deteriorate the supply chain’s performance, and
different level of bounded rationality degree need different coordinate
contract to reach the optimal order. Buyback contract is available in
amending ordering decisions with low levels of bounded rationality
newsboy, while higher levels of bounded rationality newsboy required
revenue sharing contract in order to achieve the optimal profit. This result
helps retailers considering bounded rationality factors which bring the
decision-making bias, and provides order inspirations for all types of
retailers in real life.
17:20-17:40
SunC08-6
Research on the problem of scheduling multi-product batches in
theprocess industry
Qi Tang
Shenyang Univ. of Tech.
Qingshan Zhang
Shenyang Univ. of Tech.
With the diversification and personality of customer demand the modern
chemical Polyester production has shifted to multi-product small batch
production. The problem of the scheduling on multi-product small batch
production is a new unresolvedissue which is that people have been
concerned about. This paper firstly analyzes the nature of the polyester
engineering process andthe optimal characteristics of the problem.
Based on the supply of materials and inventory constraints, the
precedence relationships of thebatches between the various stages are
drawn. This paper applies continuous-time modeling strategy to establish
mixed integer programming model of the integrated problem of batching
and scheduling. The model consider the integration of batching and
scheduling in decision-making and consider multi-product, conversion
rate, set-up time and inventory constraints, and then give out an improved
particle swarm optimization algorithm. The algorithm use two-dimensional
coding on behalf of batch quantity to enhance the ability to resolve
constrains, and brings out repairing strategy, drifting strategy and
scheduling strategy to decode a particle into a feasible solution of the
problem. Theintroduction of the systolic and divergence operators can
maintain particle diversity and convergence. The examples from
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2014CCDC
enterprises verify that the model and the algorithm have good
performance. This paper extends the batching and scheduling theory of
the small batch production inthe process industry, and provides
methodological support and theoretical basis for the practices of the
chemical polyester production.
SunC09
Perception systems
Chair: Hongpeng Wang
CO-Chair: Qixin Zhu
Room10A
15:40-17:40
Nankai Univ.
Suzhou Univ. of Scie. and Techn.
East China Jiaotong Univ.
15:40-16:00
SunC09-1
A Multi-Gait Approach for Humanoid Navigation in Cluttered
Environments
G. Brooks
Polytechnic Institute of NYU
P. Krishnamurthy
Polytechnic Institute of NYU
F. Khorrami
Polytechnic Institute of NYU
A multi-gait approach is proposed in this paper for autonomous humanoid
robot navigation and obstacleavoidance in unknown complex cluttered
environments. The proposed approach is based on an
environment-dependent adaptive switching between multiple gait
strategies including, in particular, a new low-profile crawling gait that
enables humanoid motion in tight vertically constrained spaces in addition
to forward walking and side-stepping gaits. The path planning and
obstacle avoidance system is based on the GODZILA algorithm that
provides a computationally lightweight approach for navigation in
unknown environments without requiring building of an environment map.
The new low-profile crawling gait is laterally symmetric and utilizes a
cooperative motion of both the hands and feet. The addition of this gait
expands the set of environments that can be handled by the humanoid
robot. The efficacy of the proposed approach is demonstrated through
simulations and experimental studies on a NAO humanoid robot.
16:00-16:20
SunC09-2
Speed Estimation for Robotic Fish Based on Pressure Sensor
Qixin Zhu
Suzhou Univ. of Scie. and Techn.
East China Jiaotong Univ.
Kun Zhong
East China Jiaotong Univ.
Guangming Xie
Peking Univ.
Based on pressure sensor, a speed estimation method for robotic fish is
presented in this paper. Based on property of pressure sensor, the
relation model between pressure and speed is fitted by experimental
analysis. Using this relation model, the swimming speed of robotic fish
can be calculated by pressure. A validation experiment was conducted
with a freely swimming robot. The experiment results demonstrated the
feasibility and accuracy of this measure method, which providing a new
way to measure the swimming speed of robotic fish.
16:20-16:40
SunC09-3
Research on Intrinsic Motivation of Robot Based on Central
Nervous System
Tao Shi
Univ. of Scie. and Tech. Beijing
Hebei United Univ.
Weidong Yang
Univ. of Scie. and Tech. Beijing
Hongge Ren
Hebei United Univ.
According to the anthropopathic characteristics of the robot, this paper
puts forward a central nervous system model based on the basal ganglia,
and studies the working cooperation among cerebellum, basal ganglia,
cerebral cortex and other nerve apparatus, so that the perceive model
about a central nervous system is established. The perceive model
mostly consists of cerebellum, basal ganglia and cerebral cortex,
thereinto, the cerebellum realizes sensorimotor mapping from states to
actions by supervised learning; and the basal ganglia implements
probabilistic choice based on operant conditioning principle to actions
using action forecast evaluation results; moreover, the cerebral cortex
receives and sends useful information to the basal ganglia and
cerebellum, consequently, the closed feedback loop of a central nervous
system is formed. This paper describes the concrete structure, function
and arithmetic about the central nervous system model based on the
basal ganglia, and performs some simulation experiments on the
two-wheeled robot. The results reappearance the self-learning ability and
movement balance skill of the robot like human, and indicate that this
model has the better perceive characters and robustness.
16:40-17:00
SunC09-4
A Visual Saliency Detection Algorithm Based on Channel Selecting
in Transform Domains
Yifeng Shen
National Univ. of Defense Tech.
Yifeng Niu
National Univ. of Defense Tech.
Lincheng Shen
National Univ. of Defense Tech.
A transform domain algorithm using channel selecting is proposed for
visual saliency in this paper. This algorithm is able to improve the
accuracy of the traditional transform domain saliency detection while
preserving their advantage of fast processing speed. Based on the image
signature algorithm, we select the channels by calculating the correlation
values between each channel. Then, the selected channels, instead of all
of the channels, are combined for the final saliency map according to the
Book of Abstracts
corresponding combination rule which we designed. The experimental
comparison between the proposed and original approaches
demonstrates that our method is higher in accuracy while maintaining
high processing speed.
17:00-17:20
SunC09-5
3D Irregular Object Recognition for Twist-lock Handling System
Shuang Ma
Jilin Univ.
Singapore Polytechnic
Changjiu Zhou
Singapore Polytechnic
Liandong Zhang
Singapore Polytechnic
Wei Hong
Jilin Univ.
Yantao Tian
Jilin Univ.
The handling of twist-locks has been a heavy burden for the container
industry. There have been many efforts in developing automated
twist-lock handling solutions. To address this challenge, we are
developing a customized mobile manipulator for twist-lock grasping. The
technical challenge is 3D irregular object recognition in unstructured port
environment. In this paper, we use PCA and KPCA to do two-level object
recognition only depending on depth information to determine the basic
instance and pose information for twist-lock grasping. The extensive
experiments are carried out to select the optimal recognition parameters,
investigate the performance of PCA, KPCA and compare their
performance. Since depth images are insensitive to changes in lighting
conditions, the experimental results show that the proposed approach
based on depth information is effective to address the issues and solve
problems caused by rust and painting peeled off of twist-lock handling in
unstructured port environment.
17:20-17:40
SunC09-6
Robust hand posture recognition based on RGBD images
Liang Dong
Nankai Univ.
Hongpeng Wang
Nankai Univ.
Ziyi Hao
Nankai Univ.
Jingtai Liu
Nankai Univ.
This paper proposes a robust hand posture recognition system based on
RGBD images. While much research has focused on human body
posture recognition, this work investigates skeleton-free hand detection,
tracking and posture recognition. This work consists of two different parts.
In the first part, we utilize random forest to get pixel detection of hand and
mean-shift to track hand based on RGBD images. In the second part, we
implemented extraction of different features and RBF support vector
machine to recognize multiple hand postures. This system has two
advantages: it is skeleton-free and works in wider area; it is more robust
by combining depth and color features. At last, we use the posture
recognition system to control robots in virtual reality platform.
SunC10
Renewable energies (I)
Chair: Zhiyong Li
CO-Chair: De Zhang
Room10B
15:40-17:40
Central South Univ.
Tsinghua Univ.
15:40-16:00
SunC10-1
Lyapunov Stability Analysis for Self-Excitation of Induction
Generators
Haitao Li
Guangxi Univ.
Ziguang Lu
Guangxi Univ.
Based on Lyapunov stability theory, a holistic analysis approach is
proposed for self-excited induction generator under no-load in the
stationary reference frame with the transient mathematic model. Through
analysis for initial transient states, a sufficient condition is fixed to be the
limit cycle. The analytic formulas of the stator frequency, critical excitation
capacitance and critical rotor speed are thus obtained. The self-excitation
build-up can then be judged. Good agreement between measured values
and calculated values verifies accuracy and validity of the critical analytic
formulas, showing generality and engineering application value.
16:00-16:20
SunC10-2
Precise Sun-tracking Control of Heliostats Based on a Sun’s Image
Reference System
Xuemei Zhu
Nanjing Normal Univ.
Xiaoling Mi
Zhejiang Supcon Solar Tech. Co., Ltd.
Kaizhi Lin
Zhejiang Supcon Solar Tech. Co., Ltd.
Wenjun Huang
Zhejiang Univ.
Solar tower power plant is the widest market prospect type in large-scale
solar power plants during the next decades. Heliostats are the most
important components in this system. To solve the problems in the
sun-tracking, concentrating control and low dynamic precision of the
heliostat clusters system, the nonlinear kinematical model of a heliostat is
developed based on analysis of the two-axis rotation sun-tracking
mechanism and property. The motion trajectory information of a single
heliostat is sampled by using a sun's image reference system combined
with machine vision-based method. Nonlinear optimization is proposed to
get the best sun's image fitting to achieve the heliostat model parameters
automatic intelligent calibration, which overcome the sun-tracking and
concentrating precision drift caused by mechanical wears of the heliostat,
the environmental and seasonal variations and achieve the high focusing
rate and high efficiency of the energy collecting of the large-scale
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2014CCDC
heliostat clusters. The effectiveness of proposed modeling, calibration,
and control theory of heliostats are verified through theoretical simulation
and experimental researches.
16:20-16:40
SunC10-3
Power Oscillation Damping Controller Based on Active Disturbance
Rejection Control Technique for DFIG-Based Wind Turbine
Generators
De Zhang
Tsinghua Univ.
Shengwei Mei
Tsinghua Univ.
Feng Liu
Tsinghua Univ.
Jian Sun
State Grid Beijing Electric Power Research Institute
With large-scale integration of wind power in power systems, the impact
of wind generation on power system stability has become an important
issue. In this paper, a new power oscillation damping controller based on
active disturbance rejection control technique for DFIG-based wind
turbine generators is presented. The proposed power oscillation damping
controller utilizes the grid frequency at the point of common coupling to
generate the active power modulation, so as to damp power system
oscillations. The kinetic energy of the rotating masses of wind turbine
generators is utilized to provide the required damping active power. Case
study on a two-area system verifies the effectiveness of the proposed
power oscillation damping controller.
16:40-17:00
SunC10-4
A New MPPTControlMethod of Photovoltaic Grid-connected Inverter
System
Shengqing Li
Hunan Univ. of Tech.
Bin Zhang
Hunan Univ. of Tech.
Tianjun Xu
Hunan Univ. of Tech.
Jun Yang
Hunan Univ. of Tech.
Photovoltaic grid-connected inverter system has the advantages of
simple topology and low cost. Since the output power of photovoltaic
devices is a nonlinear function of the external environment load, to
maximize the performance of photovoltaic devices, Maximum Power
Point Tracking (MPPT) control should adjust the duty cycle disturbance
based on the work of photovoltaic devices. Although MPPT control with
using conventional perturbation and observation method has the
advantages of simple in structure and easy to implement the hardware
circuit, but the control is imprecise and general poor. Therefore, aiming at
the potential inadequacies of using the traditional MPPT control algorithm
in a single-stage photovoltaic inverter system, in this paper, the traditional
MPPT algorithm is proposed based on a new control algorithm, the
artificial fish swarm algorithm is applied to MPPT control of a single-stage
photovoltaic grid-connected system. Parameter settings of AFSA are
changed through simulation to seek the optimal power value, and this
control method is compared with the traditional MPPT control method
P&O, simulation and experiment have demonstrated the reliability and
effectiveness of the algorithm.
17:00-17:20
SunC10-5
Short Term Photovoltaic Power Generation Forecasting Using RBF
Neural Network
Zhiyong Li
Central South Univ.
Yunlei Zhou
Central South Univ.
Cheng Cheng
Central South Univ.
Yao Li
Central South Univ.
KeXing Lai
Central South Univ.
The short-term photovoltaic power generation forecasting is of great
significance for the power system and energy management
system(EMS). In this paper, the short-term forecasting model of PV
generation power based on the RBF neural network is proposed, which
forecast the power of PV generation system for the next 24 hours.
Factors of position, environment, and inner performance of the system
are fully considered. A novel prediction strategy combined with
mechanism model is used, and modulations of parameters are executed
according to online training of neural network. Experimental results prove
that the proposed model reduces the deviation between the predict power
and the actual power significantly, and can achieve fast and accurate
prediction even the amount of number is very small.
17:20-17:40
SunC10-6
Suppressing Method for Photovoltaic Power Station DC Component
Injection
Shengqing Li
Hunan Univ. of Tech.
Jun Yang
Hunan Univ. of Tech.
Tianjun Xu
Hunan Univ. of Tech.
Bin Zhang
Hunan Univ. of Tech.
With the large-scale development and application of photovoltaic power,
direct current (DC) injection in photovoltaic(PV) power generation system
to public power grid is drawing more and more attention. A new method to
suppress the DC injection in grid connected PV system is presented in
this paper. With the combination of new detection circuit topology and
power amplifying circuit topology, the goal of accurately detecting DC
component can be achieved. The DC component is superimposed as the
modulated feedback signal to the inverter sine wave, through the outer
loop voltage control of inverter closed-loop control, the DC component of
Book of Abstracts
photovoltaic power generation system can be finally eliminated. The
rationality and feasibility of the scheme has been confirmed by
simulations and experiments.
SunC11
Room11B
Intelligent Building Control and Management (III)
15:40-17:40
Chair: Yahui Wang
Beijing University of Civil Engineering and
Architecture
CO-Chair:
15:40-16:00
SunC11-1
A Novel Clustering Algorithm Based on Particle Swarm Optimization
for Wireless Sensor Networks
Zhao Jing
Beijing Univ. of Civil Engineering and Architecture
Tian Le
Beijing Univ. of Civil Engineering and Architecture
Zhao Shuaibing
Beijing Univ. of Civil Engineering and Architecture
In wireless sensor networks, the energy supply is limited and the node
will be dead while the energy is out of use. In order to solve the energy
consumption problem about the sizes of clusters, a novel grid clustering
algorithm based on location information is proposed in the paper: the
node is planned to the corresponding grid according to the location
information.While we can get the sizes of clusters adjusted based on
different distance from the base station with particle swarm optimization
algorithm to ensure that accurate cluster information away from the base
station can be transmitted to the base station. From the simulation we
can get the conclusions that the energy consumption is reduced and the
network’s lifetime is prolonged effectively ,while the performance of the
network’s coverage and connectivity is not reduced.
16:00-16:20
SunC11-2
A Two-stage Approach on Island Partitioning of Power Distribution
Networks with Distributed Generation
Ruliang Dong
Zhejiang University
Qiang Yang
Zhejiang University
Wenjun Yan
Zhejiang University
Island operation of a fraction of power distribution network with distributed
generators (DGs) is considered an efficient operational paradigm to
enhance the security of power supply. This paper attempts to address the
issue of island partitioning in distribution network with the penetration of
small-scale DGs and present a two-stage algorithmic solution.In the
suggested solution, the CSP-based method is firstly adopted to create a
collection of network partitioning results in respect to individual DGs
meeting the imposed constraints from the distribution network which can
be carried out in an offline fashion assuming the fault occurrence at
certain points. Aiming to identify the optimal partitioning solution, the
heuristic simulate anneal arithmetic (SAA) algorithmic design was
employed. Through such two-stage approach, the process of optimal
island partitioning can be obtained with acceptable time complexity in
large-scale power distribution networks.The proposed partitioning
solution is assessed through a set of numerical comparative study with
the IEEE 69-bus test model by using two available solutions as the
comparison benchmark. The numerical result demonstrates that the
proposed solution performs well in terms of guaranteeing the reliable
supply of essential power loads as well as improving the utilization
efficiency of distributed generations.
16:20-16:40
SunC11-3
Research of Intelligent Coordinated Control in Indoor Environment
Based on MAS
Yifei Chen
College of Information & Electrical
Engineering of China Agricultural University
Kai Qi
College of Information & Electrical
Engineering of China Agricultural University
Baicheng Liu
College of Information & Electrical
Engineering of China Agricultural University
Ge Li
College of Information & Electrical
Engineering of China Agricultural University
Qiaoxue Dong
College of Information & Electrical
Engineering of China Agricultural University
More and more intelligent buildings have been built in the world during
last 10 years, but, according to application investigation in China, the
intelligent level was not high and building control had not achieved the
valued result, especially in intelligent control operation and energy saving
for buildings. In BAS (Building Automation System), there are many
sub-systems integrated together with multiple purposes, and if whole
system of BAS is intelligent, then every sub-system should be smart.
Attention to achieving the intelligent system special on control algorithms
and its realization should be paid in practice, this paper discusses the
intelligent method using MAS (Multi-Agent system) applied in BAS, and
researches of intelligent coordinated control for indoor environment
based on MAS. In addition, as lighting agent, an indoor lighting intelligent
control sub-system is presented. In this integrated system, the indoor
comfortable illuminance can be intelligently controlled by venetian blind
turning and the assistance of indoor lamps. On the other hand, for
requirement of control network as agent, based on the 1-wire technology,
the system has realized the function of addressing control for lamps and
venetian blind
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2014CCDC
16:40-17:00
SunC11-4
Multi-objective Optimal Analysis of Comfort and Energy
Management for Intelligent Buildings
Nan Wang
North China Electric Power University
Fang Fang
North China Electric Power University
Meifang Feng
North China Electric Power University
Building energy consumption and human comfort are two major but often
contradictory themes in modern building management. To alleviate the
contradiction between the two themes, multi-objective optimization
methods are always introduced. In this paper, three indexes, thermal
comfort, visual comfort and indoor air quality (IAQ) are integrated to
evaluate the indoor comfort. Based on a multi-agent structure, a model
including comfort function and energy function is proposed. The
multi-objective genetic algorithm is used to optimize the energy and
comfort targets. And the pareto optimal solution and its sensitivity
analysis are discussed under several cases.
17:00-17:20
SunC11-5
Research and Application of Intelligent Building Energy
Management System
Lin Jiaquan
Fujian Longyan Jinye Fluecured Tobacco CO.LTD
Zhang Renqiang
Nanjing Intelligent Apparatus CO.LTD
This paper introduces zhe design method of Intelligent Building Energy
Management System. structure, communication network and software.
Finally, one practical application example is given.
17:20-17:40
SunC11-6
Building Energy and Control System Modeling And Simulation
Using Modelica
Dong He
Chongqing University
Qingyu Xiong
Chongqing University
Weiren Shi
Chongqing University
Xin Shi
Chongqing University
Jiaqi Zhang
Chongqing University
This paper introduces the Modelica Buildings library which has been
developed for the advanced simulation of building energy and control
systems. Modelica offers benefits compared to conventional approaches
for integrating models from different domains, and for simulating systems
with largely varying time responses such as building energy systems and
control algorithms. This paper also introduces an example of a
single-zone HVAC system model which is built using Modelica. Buildings
library in Dymola.
SunCIS
Interactive Session
The lobby of the 4th floor
15:40-17:40
SunCIS-1
Multimode Process Monitoring Based on Correlative Principal
Components and Differential Geometry Feature Extraction
Funa Zhou
Henan Univ.
Yu Zhang
Henan Univ.
Shuna Yang
Henan Univ.
Since the changes of raw material properties, external environment and
other conditions, during practical industrial processes, multiple stable
operation modes may arise, and between any two stable modes may
undergo slowly changing transition modes. The existing multimode
process monitoring methods haven’t monitored dynamic characteristics
of the transition modes efficiently. This paper adopts differential geometry
feature extraction method to extract the dynamic characteristics of
transition modes, uses geometric elements, such as slope, curvature etc,
to display the dynamic curve characteristics of transition modes, and then
establishes the anomaly detection model of transition mode based on
rolling balls to monitor the transition modes. The online data driven CPCA
method is used for the anomaly detection of stable modes. Comparing
this method with the global PCA and global CPCA, the experimental
results show that the proposed method is efficient.
SunCIS-2
Conditions Identification Model Based on LLNFM and RBR in
Cement Raw Meal Calcination Process
Jinghui Qiao
Shenyang Univ.of Tech.
Tianyou Chai
Northeastern Univ.
In cement raw meal calcination process, there are three conditions (i.e.,
easy calcination condition, difficult calcination condition, and abnormal
condition), however it is difficult to be estimated in time by operators. To
solve this difficult problem, a prediction model has been proposed by
combing local linear neuro-fuzzy model (LLNFM) with rule-based
reasoning (RBR). The LLNFM was applied to the model to predict the
output temperature of the preheater C5 using input variables. Rule-based
reasoning decided conditions according to predicting output valve. The
proposed model has been successfully applied to calcination process of
Jiuganghongda Cement Plant in China, and the application results
showed its effectiveness
SunCIS-3
Multi-level PCA and its Application in Fault Diagnosis
Chunxia Wang
Hangzhou Dianzi Univ.
Book of Abstracts
Jing Hu
Zhejiang Univ.
Chenglin Wen
Hangzhou Dianzi Univ.
The traditional principal component analysis (PCA) method divides the
variable space into two parts: Principal subspace and Residual subspace
by orthogonal decomposition. It has been widely used in fault detection
process, but it is difficult to interpret the modes of the fault because of
model compound effect, and the ability to distinguish the pattern which is
no significant is affected. In industrial process, there may exist a larger
fault cause deviation from the normal state of system and may exist
security risks cause a larger fault, take different responses for different
sizes of faults can reduce expenses, thus identify the fault size is
extremely important. In this paper, we put forward a multi-level PCA
method that the variable space is divided into several principal subspaces
and a residual subspace to solve the problem of identify the size of the
fault, and apply it to fault diagnosis. For different sizes of fault data,
project them onto each subspace step by step, calculate indicators and
compare with the control limits of normal subspaces. The method can not
only find faults, but also can identify the fault size, according to the
subspace in which the fault is detected. Simulation shows the
effectiveness of the algorithm.
SunCIS-4
Software-hardware Interaction Analysis Based on Petri Net
Zhaoxiang Yi
Xi'an Research Institute of Hi-Tech Hongqing Town
Xiaodong Mu
Xi'an Research Institute of Hi-Tech Hongqing Town
Peng Zhao
Xi'an Research Institute of Hi-Tech Hongqing Town
Yaqiao Yi
Hunan Univ. of Chinese Medicine
As software and hardware have grown in functionality and complexity, the
existing computer systems are confronting serious challenges with
safety, dependability and reliability. Being one of the primary causes with
responsibility for these challenges, the software-hardware interaction is
advanced and widely studied in recent years. Unfortunately, none of the
state-of-art researches has achieved widespread applicability in
analyzing software-hardware interaction. Due to a lack of general model
to describe the process, we present a software-hardware interaction
model based on Petri Net(SHIPN), and also propose the systemic
analysis method and process for software-hardware interaction.
Indicating as a six-tuple Petri Net, SHIPN is a logic model of system
events, and denote the cause and effect between the software events
and hardware events, as well as the process of system events.
Especially, SHIPN has non-conflict, non-collision and non-competition of
resources, and is essentially different from the traditional Petri Net.
Subsequently, we define formalized software-hardware interaction events
on the basis of SHIPN, and designed an analysis algorithm based on the
incident matrix to deduce causations and propagation paths of each
software-hardware interaction. An application case in the communication
control system demonstrates that SHIPN is an accurate and practicable
model, and the proposed method provides an effective approach to
analyze software-hardware interaction.
SunCIS-5
Amplitude Envelope Analysis for Feature Extraction of Power Plant
Blower Bearing Failure
Zuo-wei Pan
North China Electric Power Univ., and
Beijing Energy Investment Holding Co.
Hongwen An
North China Electric Power Univ., and
Beijing Energy Investment Holding Co.
Shuangyin Liang
North China Electric Power Univ.
Yibing Liu
North China Electric Power Univ.
Bearing vibrations of a power plant blower have random characteristics
with stark noise, which make it difficult for fault feature extraction both by
using vibration effective data of monitoring system and vibration analysis
function of a portable measuring instrument. Made use of the vibration
signals which were measured from a normal blower and a fault one, the
vibration characteristics of fault impeller rotor support bearing were
analyzed and studied. From time domain, frequency domain and
cepstrum domain, the vibration signal characteristics were analyzed and
compared between normal and fault units. Then narrowband envelope
analysis had been made. The difference of envelope spectrum for
vibration signals between normal and fault units was revealed. The
results show that narrowband envelope analysis can effectively identify
the bearing fault state.
SunCIS-6
Application of Simulation-based Software Design Solution
Konstantin Aksyonov
Ural Federal Univ.
Eugene Bykov
Ural Federal Univ.
Olga Aksyonova
Ural Federal Univ.
Kai Wang
Ural Federal Univ.
The paper describes several models, where the computer-aided software
design system BPsim.SD was used. Some of them were existing projects
with available output data, and were used for system verification as the
baseline deployments. Namely, the University Information System is the
project of such kind, and has been developed earlier, partially by authors,
who had all the initial data to be able to reproduce important aspects
within the current system. Others became the real examples of system
use, and allowed the customers to achieve benefit from automated
software design. That is the development of software for the independent
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2014CCDC
shareholders registry, including sub-system for documents registration,
transfer agent exchange module and an electronic docflow system.
Positive deployment experience proves effectiveness of presented
software.
SunCIS-7
A Robust Fault Estimation Scheme for Heavy-haul Trains Equipped
with ECP Brake Systems
Yufu Qin
Central South Univ., and Hunan Engineering
Laboratory for Advanced Control and
Intelligent Automation Changsha
Jun Peng
Central South Univ., and Hunan Engineering
Laboratory for Advanced Control and
Intelligent Automation Changsha
Central South Univ., and Hunan Engineering
Xiaoyong Zhang
Laboratory for Advanced Control and
Intelligent Automation Changsha
Yingze Yang
Central South Univ., and Hunan Engineering
Laboratory for Advanced Control and
Intelligent Automation Changsha
Fu Jiang
Central South Univ., and Hunan Engineering
Laboratory for Advanced Control and
Intelligent Automation Changsha
In this paper, the fault detection and isolation problems (FDI) of
heavy-haul trains equipped with electronically controlled pneumatic
(ECP) brake system are studied. A longitudinal dynamical model and the
fault modes of trains are considered. A fault detection estimator bases on
the nonlinear observer is designed to generate residual for detecting
fault. After the fault is detected, a group of fault isolation estimators with
different residuals and thresholds can be designed, each estimator
corresponds to one possible actuator fault of trains. And in each fault
isolation estimator, the unknown actuator fault of trains can be estimate
simultaneously by introduce a learning algorithm. A simulation analysis is
proposed to show the validity of the designed FDI scheme, by using the
parameters from the heavy-haul trains system running on
Datong-Qinhuangdao railway in China.
SunCIS-8
INU Fault Diagnosis Based on Genetic Wavelet Neural Network
Yunlin Luo
Aeronautical Automation Coll. of Civil Aviation
Univ. of China
Qingtian Dai
Aeronautical Automation Coll. of Civil Aviation
Univ. of China
Li Wang
Aeronautical Automation Coll. of Civil Aviation
Univ. of China
Kun Wang
Aeronautical Automation Coll. of Civil Aviation
Univ. of China
This paper studies the fault diagnosis of inertia navigation unit which
plays an important role in inertia navigation system. The method chosen
in the fault diagnosis is combined Genetic Algorithm and wavelet neural
network. Wavelet transform will effectively handle the collected inertia
navigation unit signal. The characteristic signals extracted will be
regarded as inputs to the neural network. The initial value of weight and
bias on WNN is searched for further training by introducing Genetic
Algorithm, which improves search efficiency and global convergence of
the network. The fault signal of gyro which is the crucial part in inertia
navigation unit is taken as an example of simulation. Simulation results
indicate that this method can diagnose faults effectively.
SunCIS-9
Actuator Fault Detection Based on Robust Adaptive Observer for
CCBII Braking System
Jiandui Yi
Central South Univ., and Hunan Engineering Lab
for Advanced Control and Intelligent Automation
Zhiwu Huang
Central South Univ., and Hunan Engineering Lab
for Advanced Control and Intelligent Automation
Weirong Liu
Central South Univ., and Hunan Engineering Lab
for Advanced Control and Intelligent Automation
Yingze Yang
Central South Univ., and Hunan Engineering Lab
for Advanced Control and Intelligent Automation
Xiaoyong Zhang Central South Univ., and Hunan Engineering Lab
for Advanced Control and Intelligent Automation
Jianfeng Liu
Central South Univ., and Hunan Engineering Lab
for Advanced Control and Intelligent Automation
This paper presents a robust adaptive fault estimation design method to
solve the problem of actuator fault estimation for CCBII Braking System
with disturbances and model uncertainties. The proposed robust adaptive
fault estimator which is based on an adaptive observer can improve the
speed of fault estimation. By transforming the system model into a
special coordinate basis (SCB) form, we can structure the desired
observer. This transformation can achieve a decoupling between the fault
estimates and the disturbances. As a result, the conventional adaptive
observer is improved to enhance the speed of fault estimation through
this decoupling. Simulation experiments of CCBII braking system are
given to validate the effectiveness of the fault detection method.
SunCIS-10
Book of Abstracts
Robust Adaptive H∞ Fault-Tolerant Control for Uncertain Linear
Systems against Actuator Failures
Libing Wu
Univ. of Science and Tech. Liaoning
Zhiguo Zhang
Polytechnic Institute of Guidaojiaotong
Daqing Zhang
Univ. of Science and Tech. Liaoning
Guizhi Li
Yingkou Institute of Tech.
This paper is concerned with the robust adaptive H∞ fault-tolerant
control problem for linear systems with the mismatched parameter
uncertainties, input channel and external disturbances, and actuator
faults including loss of effectiveness, outage and stuck. Without requiring
any fault detection and isolation mechanism, a novel adaptation law with
a rather simpler structure is employed to estimate the unknown controller
parameters. Based on a notion of an adaptive H∞ performance index,
the designed adaptive fault-tolerant controller can guarantee the
disturbance attenuation and optimal H∞ performance. Furthermore, on
the basis of Lyapunov stability theory, it is shown that the proposed
fault-tolerant strategy guarantees that the closed-loop system is
asymptotically stable in the presence of the mismatched parameter
uncertainty, disturbance and actuator faults simultaneously. Finally, a
rocket fairing structural-acoustic model is used to demonstrate the
efficiency of the proposed fault-tolerant design approach.
SunCIS-11
Fault Diagnosis of Gas Turbine Based on Support Vector Machine
Weihong Hu
Shenyang Aerospace Univ.
Jiyuan Liu
Chinese Academy of Scie.
Jianguo Cui
Shenyang Aerospace Univ.
Yang Gao
Shenyang Aeroengine Research Institute
Bo Cui
Shenyang Aeroengine Research Institute
Liying Jiang
Shenyang Aerospace Univ.
In this paper, a fault diagnosis method based on support vector machine
(SVM) is proposed for gas turbine bearing. Firstly, through analysis and
processing of vibration signals, the singular value decomposition related
EEMD technique is applied to extract feature vectors of the signals. The
results are used as the input of SVM classifier model. Then, by using the
SVM network intelligence, the turbine bearing operating status and fault
type are determined. Experimental results show that the proposed SVM
classification method with small sample can accurately and efficiently
classify the working status and fault type of the gas turbine bearing, and
has some engineering applications values.
SunCIS-12
Fault Tolerant Control for UAV with Finite-Time Convergence
Qiang Qu
Nanjing Univ. of Aeronautics and Astronautics
Shan Gao
Nanjing Univ. of Aeronautics and Astronautics
Daobo Huang
Nanjing Univ. of Aeronautics and Astronautics
Jinsong Mei
Nanjing Univ. of Aeronautics and Astronautics
Bin Zhai
The 27th Research Institute of China Electronics
Technology Group Corporation
In this paper, the finite-time fault tolerant control (FTC) of attitude
stabilization is developed for attitude dynamical system of a hypersonic
unmanned aerial vehicle (UAV) with actuator loss-of-effectiveness (LOE)
fault. First, the hypersonic UAV non-linear attitude dynamics are
described. A finite-time controller is designed on the basis of nonsingular
terminal sliding mode (NTSM) control technique for the UAV attitude
dynamical system. Then based on the technique of dynamic surface
control, the fault tolerant control plan is proposed, which ensure the
closed-loop dynamical systems of UAV converge to a stable state in a
finite-time in the case of the actuator LOE faulty. Finally, some simulation
results are presented to demonstrate the efficiency of the proposed
method.
SunCIS-13
Observer-based Fault Detection for Rail Vehicle Suspension
Systems
Yue Wang
Nanjing Univ. of Aeronautics and Astronautics
Zehui Mao
Nanjing Univ. of Aeronautics and Astronautics
Bin Jiang
Nanjing Univ. of Aeronautics and Astronautics
This paper is concerned with the design of an observer-based fault
detection module for nonlinear rail vehicle suspension systems with the
method of restructuring states and faults which can affect the system
performance. An alarm signal will be sent by the designed observer if the
residual evaluation is larger than a prescribed threshold when there are
detectable actuator and sensor faults. The track irregularity generated by
the spatial power spectral density is regarded as the system
disturbances. Simulation result shows the effectiveness of the proposed
method for Rail Vehicle Suspension Systems’ fault detection.
SunCIS-14
Multi-mode Data-based Joint Fault Detection Method
Jing Hu
Zhejiang Univ.
Chenglin Wen
Henan Univ. of Tech.
Ping Li
Zhejiang Univ.
Fault detection for multi-mode process are becoming a hotspot. By
effective mode division and accurate online identification, a multi-mode
hybrid data set can be transformed into multiple single-mode data sets,
then the traditional PCA-based approach can still be adopt to process
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2014CCDC
monitoring. However, in the treatment of “fast response” multi-mode
procedure, the above idea does not seem to apply, which is mainly due
to: 1) the characteristics of the real-time measurements are needed to be
similarity or dissimilarity measured with the known characteristics of all
modes, which produces large computational cost, further usually appears
online data can not be matched with the monitoring model timely, and
finally leads to higher false alarm and missing detection; 2) especially
when the running cycle of a single mode is short with less data, and the
mode is frequency switched, the situation will be much worse. To this
end, aiming at the switching frequently multi-mode, the joint multi-mode
hybrid data are used to build a unified model for the case that modes
unable to be identified effectively. Meanwhile, the generalized
eigenvalues and generalized eigenvectors are defined, and a trade-off
fault detection approach is established based on the unified model.
Simulation results demonstrate the effectiveness of the new method,
which can avoid the monitoring model unapplicable. Moreover, it is
real-time and practical.
SunCIS-15
μ-Analysis Control Adaptation for Online Stator and Rotor Fault
Diagnosis in Induction Machines
Chady Nohra
Beirut Arab Univ.
Induction machines are critical components in several industrial
processes and are frequently integrated in commercially available
equipments. The reliability of an induction motor is of great Importance in
industrial as well as commercial, aerospace and military applications. in
This paper two kinds of induction motor faults, stator short circuit and
broken rotor bar fault, are investigated. The model used is the one
developed by [14].The proposed strategy consists in developing an
observer based on μ analysis Control theory, characterized by
robustness against model mismatches and disturbances, followed by a
sliding mode estimator. The performance index, the parameter that
permit to differentiate between faults and disturbances or noise, for the μ
observer followed by the sliding mode estimator is amplitude and
frequency. Simulations with nonlinear Machine model were carried out
which demonstrated the effectiveness of the proposed algorithm.
Moreover, μ analysis observer and sliding estimator exhibited robustness
against unmodeled dynamics simulated by multiplicative uncertainty and
significant rejection of disturbances and noise-effects attenuation which
make the proposed strategy adequately close to the conditions of the real
physical system.
SunCIS-16
The Mixed Fault Detection Method for Rolling Bearings Based on
ICA-Teager
Jun Ma
Kunming Univ. of Science and Tech.
Jiande Wu
Kunming Univ. of Science and Tech., and
Engineering Research Center for Mineral
Pipeline Transportation of Yunan
Xiaodong Wang
Kunming Univ. of Science and Tech., and
Engineering Research Center for Mineral
Pipeline Transportation of Yunan
Yugang Fan
Kunming Univ. of Science and Tech., and
Engineering Research Center for Mineral
Pipeline Transportation of Yunan
The vibration signal of rolling bearings is always the mixed fault signal
which is interfered by noise or mixed aliasing by different fault source,
and analysis and fault feature extraction of the signal is difficult problem.
Therefore, a mixed fault detection method based independent component
analysis and Teager Energy Operator (TEO) demodulation (ICA-Teager)
is proposed. Firstly, make the vibration signal acquisition of the ICA
processing, to extract the independent component ICs; secondly, TEO
demodulate and achieve the amplitude envelope of the ICs using TEO;
finally, implement Fourier transform of the amplitude envelope, and
detect faults by matching the dominant frequency spectrum with the fault
feature of theoretical calculation. The experimental results show the
ICA-Teager can be isolated the mixed signal and extracted the dominant
frequency characteristics of each IC to detect faults.
SunCIS-17
H ∞ Deconvolution Filter Design for Time-delay Systems via
equivalent transformation
Fuqiang You
Northeastern Univ.
Hui Li
Northeastern Univ.
This paper proposes an H∞ deconvolution design for linear systems
with output state time delay. The basic idea of our study is to eliminate
the time delays of system and transform it to a delay-free system by the
bicausal change of coordinates approach. Then, we design H ∞
deconvolution for the delay-free systems, which is equivalent to the
original system with time delays. We analyze the general structure and
innovation structure of the H ∞ deconvolution filter . Based on the
bounded real lemma, a time domain design approach and a sufficient
condition for the existence of deconvolution filter are presented. The
prarameterization of the deconvolution filter could be completed by
solving a Riccati equation. The proposed method is useful for the case
that does not require statistical information about disturbances.
SunCIS-18
Book of Abstracts
Robust Fault-Tolerant Cooperative Control of Multi-agent Systems
with Actuator Faults
Gang Chen
Chongqing Univ.
Yongduan Song
Chongqing Univ.
This work investigates the cooperative controller design problem for
multi-agent systems in the presence of actuator failures. We first provide
an actuator fault detection algorithm. Then, a robust fault-tolerant
protocol is presented to achieve the synchronization and tracking control
of multi-agent systems. The controllers are locally distributed in the sense
that the controller designed for each agent only requires the information
of itself and its neighbors. The loss of symmetry in the digraph Laplacian
matrix is also considered. Numerical simulation results are presented to
show the effectiveness of the proposed robust control.
SunCIS-19
Fault Estimation for Time-Varying Control Systems with Aperiodic
Sample
Ning Li
Northeastern Univ.
Jian Feng
Northeastern Univ.
For a class of linear time-varying system with non-uniform sample, we
discrete the system by combination of both norm invariant and step
invariant transformation, taking the problem of non-uniform sample
transformed into discrete time varying system problem. Based on
designed the fault estimator, we construct Lyapunov function, to get the
essential condition of the error equation asymptotic stability and the fault
estimation adaptive weighting parameter L0, Γ and θ. At last, a
numerical example is given to illustrate the effectiveness of the proposed
fault estimator by Matlab LMI Toolbox.
SunCIS-20
Design of Photovoltaic Building Lightning Protection Equipment
Monitoring and Early Warning System
Fuyan Guo
Tianjin Chengjian Univ.
Yue Wang
Tianjin Chengjian Univ.
Minde Huang
Tianjin Chengjian Univ.
To acquire device data of lightning protection Equipment in time and
accurately is an important issue to improve the level of building lightning
protection and the intelligence of lightning protection equipment. This
system uses Java technology and C/S network architecture to construct a
monitoring and warning system. Firstly, it can realize data collection and
management of lightning protection equipment. Secondly, it also
overcomes problems of information transmission unreliable, data
processing non-timely, difficulty to control distributed equipment and so
on. What’s more it can improve the safety and reliability of lightning
protection and realize the intelligent management of lightning protection
equipment.
SunCIS-21
Research on Correlation between Science Popularization and
Technological Progress based on Panel Data
Rongrong Ren
Northeastern Univ. of China
Nian Zheng
China Research Institute for Scie. Popularization
Gang Xing
Northeastern Univ. of China
Meng Zhao
Northeastern Univ. of China
Yi Tang
Northeastern Univ. of China
Under the new historical condition, strengthening the communication and
popularization of science and technology is both the requirement to
implement the national development strategy and need for social
development as well as the basis and key point for the development of
popularization of science itself. Relevant data of five characteristic
indexes, talents, funds, place, communication and activity of since
popularization of China from 2004 to 2010 are selected and grey
relational grade analysis method is adopted for quantitative analysis on
the correlation between these indexes and scientific and technological
progress. The result shows that there exists a relatively strong correlation
between science popularization activity and scientific and technological
progress and that the correlation between science popularization funds
and scientific and technological progress is relatively low.
SunCIS-22
Grey Regressive Prediction Method of Urban Life Water
Consumption
Baozheng Liu
Liaocheng Univ. and Northeastern Univ.
Dingwei Wang
Northeastern Univ. of China
Based on data mining, the main impact factors of urban life water
consumption are made gray relational analysis with the water
consumption. The main driving factors of urban life water consumption
are discussed. By the gray forecasting of the development trends of the
main impact factors, a grey prediction of GM (0, N) model on urban life
water is established. An instance proves to fit the data better. The model
is based on the short and medium term forecasts of urban population and
per capita disposable income to predict the urban life water annual
consumption. Finally, the recommendations and effective measures to
mitigate the urban water crisis are proposed.
SunCIS-23
A Study on China’s FDI in ASEAN
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2014CCDC
Qingdao Univ. of Scie. and Tech., and
Univ. of International Business and Economics
Lu Zhang
Qingdao Univ. of Scie. and Tech.
Hanchuan Lin
Univ. of International Business and Economics
CAFTA was launched in an all-round way in 2010. The rise of Chinese
economy, the impact of financial crisis and the startup of CAFTA are
supplying the opportunities for the direct investment from China to
ASEAN; All the same, the investment transfer effect from the Regional
Economic Integration, Chinese enterprises’ lack of investing experience
and the backward investment environment in ASEAN will be bringing
challenges for FDI from China to ASEAN. In this paper, on the basis of
theory research thus provides useful countermeasures and suggestions
for strategic decisions for the relevant government departments and
enterprises, for reference.
Tonggong Zhang
SunCIS-24
An Empirical Study on the Relationship between Executive Rewards
and Merge and Acquisition of Chinese Listed Companies
Zhenming Gao
Northeastern Univ.
Xintian Zhuang
Northeastern Univ.
Based on the M&A (merger and acquisition) of Chinese listed companies
from 2005 to 2010, this paper empirically studies the relationship
between executive rewards and M&A. The M&A samples include types of
stock ownership replacement and asset transactions, and they are
divided into four sub-samples according to the majority stockholder’s
characteristics of acquiring companies and whether this M&A being
before or after the non-tradable shares reform. The results demonstrate
that the company asset size induced by M&A has significant positive
effects on the executive rewards. There are no significant relationship
between the company’s past business performances and the executive
rewards. The degree of ownership concentration is positively related with
executive rewards. At last, the non-tradable shares reform has exerted
great influences on the ownership concentration degree.
SunCIS-25
A Study on the Investment Environment of India--Based on the
questionnaires from the related Chinese enterprises
Tonggong Zhang
Qingdao Univ. of Scie. and Tech., and
Univ. of International Business and Economics
Lu Zhang
Qingdao Univ. of Scie. and Tech.
Hanchuan Lin
Univ. of International Business and Economics
There is great scope and enormous potential for economic cooperation
between China and India. The investment between two countries is far
from the due standard owing to so many obstacle factors. The Chinese
enterprises who invest in India are facing poor investing environment. In
this thesis, the investing environment in India can be evaluated
objectively and comprehensively by questionnaire survey from politics,
economy, and culture etc.
SunCIS-26
Optimization of Storage Performance for Generic Tiered Warehouse
by Genetic Algorithm
Shu’an Liu
Northeastern Univ.
Jiawei Sun
Northeastern Univ.
Qing Wang
Northeastern Univ.
A generic tiered warehouse (GTW) often features in adaptive layout and
diversified efficiencies of transportation equipments or devices and so on.
The storage optimization in GTW usually involves in storage allocation or
assignment, transportation batching, routing and operational efficiency as
well, which is comparably complicated more than in an automated
storage and retrieval system (AS/RS). This paper considered GTW
optimization problems of allocating the storages for inventory
replenishment and order picking with known warehousing plan, and two
optimization models were designed, respectively. The objective is to
minimize the operational distance of warehousing equipments subject to
the constraints of storage strategy, location loading capacity, carrying
capacity of warehousing equipments, goods demands, etc. To solve the
models, a dedicated Genetic Algorithm was designed, which embeds
with heuristic algorithm. The problem solving consists of two structural
phases: storage allocation or order picking with GA and transportation
batching or routing solved with knapsack-based method, where heuristic
and enumeration strategies are applied. The simulation experiments
were implemented with the data in practical business and the results
verified the effectiveness and efficiency of the proposed models and the
designed algorithms.
SunCIS-27
A Method for Wide Density Salt and Pepper Noise Removal
Jihong Qiao
Beijing Tech. and Business Univ.
Lei Chen
Beijing Tech. and Business Univ.
Yan Chen
Beijing Tech. and Business Univ.
A new method for removal of wide density salt and pepper noise in image
is proposed. Every pixel in a noise corrupted image is classified to which
it is a noise pixel or noise-free pixel. A noise pixel should be modified by a
filter. On the contrary, noise-free pixel is kept unchanged. If noise-free
pixel is detected as noise pixel wrongly, the restored image will be
blurred. The difference between the central pixel and its neighbors
Book of Abstracts
aligned with four directions in local window is used to detect noise. Then
the noise pixel is replaced by a histogram weighted mean filtering value.
Experimental results show that the proposed method can not only
efficiently remove 10%~90% wide density salt-and-pepper noise, but also
can well preserve the detail information of an image.
SunCIS-28
Optimal Site Selection for Soft Landing on Asteroid
Jiangeng LI
Beijing Univ. of Tech
Zhen Jia
Beijing Univ. of Tech
Xiaogang Ruan
Beijing Univ. of Tech
An algorithm for autonomous selection of optimal landing site based on
the image is proposed. Firstly, referenced rocks` shadow and light areas
are extracted by the use of double threshold segmentation based on the
two-dimensional maximum entropy. Then, the threshold segmentation
image is processed further, including the combination of the shadow and
light areas in order to form obstacle areas and extracting connected
areas etc. However, the selection of the safe landing areas should not
only take the safety into consideration, but also pay more attention to the
value of scientific research. Therefore, the traditional method should be
improved. Finally, the optimal landing site is selected based on fuzzy
rules merged expertise. Experiments demonstrate that the algorithm can
be used to select the optimal landing site accurately and it proves that the
method proposed is feasible and robust.
SunCIS-29
Modeling Research of MEMS Gyro Drift Based on Kalman Filter
Xiaogang Ruan
Beijing Univ. of Tech
Miaomiao Yu
Beijing Univ. of Tech
In order to improve the performance of gyroscopes, the random drift error
of a micro electro mechanical system (MEMS) gyro was analyzed and
modeled. The noise feature of MEMS gyro is analyzed based on the AR
model. By introducing a fading factor of Strong Tracking Filter (STF), the
Sage-Husa adaptive Kalman filter reduced the effect of the error of model
and noise statistical characteristics. The processed signal of a certain
type of gyroscope is filtered by the new Kalman filter. Through the test on
a certain type of gyroscope, the processed result from the practical
simulation shows the new adaptive Kalman filter is not sensitive to the
error of model and noise statistical characteristics, the accuracy of drift
signal is improved greatly.
SunCIS-30
Motion Descriptor Based on Aligned Cluster Analysis
Qinkun Xiao
Xi’an Tech. Univ.
Zhonghua Zheng
Xi’an Tech. Univ.
The data of human motion is complex both spatially and temporally,
which makes it a difficult work to extract motion features in an efficient
way. In this paper, we prpose a novel descriptor for human motion based
on Aligned Cluster Analysis (ACA) and then this descriptor is used in
retrieval. Firstly, Aligned Cluster Analysis (ACA), a robust method used to
segment sequence of motion, is taken to capture data into actions.
Secondly, body joints are denoted by quaternion, each sub-segment of
motion features is extracted by k-means clustering. Finally, the motion
features match with the features database. Experimental results prove
that the proposed approach can accurately segment the motional
sequence. The motional features are successfully employed in the
retrievable process.
SunCIS-31
Study on characteristic dimension and sparse factor in
Non-negative Matrix Factorization algorithm
Mo Hou
Jiangsu Normal Univ.
Maoyun Yang
Jiangsu Normal Univ.
Shuyun Qiao
Xuzhou Institute of Tech.
Gaige Wang
Jiangsu Normal Univ.
Liqun Gao
Northeastern Univ.
Non-negative Matrix Factorization (NMF) algorithm and its variations
have been successfully applied to many fields, but how to set the
characteristic dimension value and the sparse factors value to improve
recognition accuracy has been puzzling the researchers. Until now, it is
regretful that the rigorous algorithm doesn’t appear. The purpose of this
paper is not to improve existing NMF algorithm to improve recognition
accuracy, but emphasis on investigating how sparse factors and the
characteristic dimension affect recognition accuracy, and study how to
set the optimization values to characteristic dimension and sparse factors
respectively to obtain the optimization recognition accuracy. A platform
for face recognition is built, and some experiments are carried out with
the help of the platform, finally some directional conclusions are gained.
SunCIS-32
L 3/2 Sparsity Constrained Graph Non-negative Matrix Factorization
for Image Representation
Shiqiang Du
Northwest Univ. for Nationalities
Yuqing Shi
Northwest Univ. for Nationalities
Weilan Wang
Northwest Univ. for Nationalities
For enhancing the cluster accuracy, this paper presents a novel algorithm
called L3⁄2 Sparsity Constrained Graph Non-negative Matrix
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2014CCDC
Factorization (FGNMF), which based on the convex and smooth L3⁄2
norm. When original data is factorized in lower dimensional space using
NMF, FGNMF preserves the local structure and intrinsic geometry of
data, using the convex and smooth L3⁄2 norm as sparse constrains for
the low dimensional feature. An efficient multiplicative updating
procedure was produced, the relation with gradient descent method
showed that the updating rules are special case of its. Compared with
NMF and its improved algorithms based on sparse representation,
experiment results on USPS handwrite database and COIL20 image
database have shown that the proposed method achieves better
clustering results.
SunCIS-33
A Novel Blind Multi-Target Beam-Forming Algorithm in Guidance
Data Link System
Xufang Wei
Luoyang Optoelectr. Tech. Development Center
Cuisheng Wu
Luoyang Optoelectr. Tech. Development Center
Changhong Yao
Luoyang Optoelectr. Tech. Development Center
This paper proposes a novel blind multi-target beam-forming algorithm to
perform a multi-target beam-former for guidance data link system. The
proposed algorithm exploits the knowledge of the pseudo-noise (PN)
code used in data-link communication system to generate the transmitted
command as reference signal. A novel approach, which a band-pass filter
is used, is adopted to improve anti-jamming performance in environment
with strong interference. Simulation results demonstrate that our proposal
can achieve a superior anti-jamming performance than Multi-target Least
Square Constant Modulus Algorithm(MT-LSCMA) in environment with
strong jamming.
SunCIS-34
Mixed Noise Reduction Method Based on Fuzzy Morphological
Filtering
Youlian Zhu
Jiangsu Univ. of Tech.
Cheng Huang
Jiangsu Univ. of Tech.
Lifang Zhai
Jiangsu Univ. of Tech.
Lingjiao Pan
Jiangsu Univ. of Tech.
To remove mixed noises from the image, we studied the noise reduction
performance of fuzzy morphological filter and introduce a new method to
reduce noise. Firstly, the method uses S-function to fuzz an image, and
then do fuzzy morphological opening-closing operation with the fuzzed
image. To improve the noise reduction performance, we adopt double
structural elements which combined fuzzy square structural elements
with fuzzy linear structural elements. Experiment show that the proposed
method may effectively reduce impulse noise, Gaussian noise, and
mixed noise. Especially, it has obvious advantages in dealing with the
image that has serious impulse noise.
SunCIS-35
An effective color image fusion algorithm of visual and infrared
night images
Yajie Wang
Shenyang Aerospace Univ.
Xiangbin Shi
Shenyang Aerospace Univ.
Fei Li
Shenyang Aerospace Univ.
Yongsheng Ye
Shenyang Aerospace Univ.
An effective color image fusion algorithm based on NSCT
(Nonsubsampled contourlet transform) and Lαβ color space is proposed
for visual and infrared night image fusion, aiming at traditional fusion
method suffering from no rich details and no clear target. The NSCT is
applied in fusion processing because of its good properties which include
multi-scale, time-frequency localization, shift invariance, and multiple
directions discrimination, in order to obtaining exact position and clear
image presentation of fused image. The Lαβ color space is applied to
color transferring because of its no correlation. The oversaturated color of
the fused image is overcome by adjusting the dynamic range of
luminance component of Lαβ space. And the color of the fused image is
more uniform, more natural. The experimental results show that the
proposed method is effective.
SunCIS-36
Research of feature extraction algorithm based on steady-state
visual evoked potential
Liqing Geng
Tianjin Univ. of Tech. and Education
Pengju Cui
Tianjin Univ. of Tech. and Education
This paper introduces the EEG signals that generated by the steady-state
visual evoked at brain computer interface, prompt and accurate
extraction of the SSVEP signals is the key to applied it to the BCI and
clinical examination, so this paper analyzes the principles and
characteristics of three kinds of SSVEP feature extraction method based
on fast Fourier transform, AR model power spectrum estimation and
wavelet packet analysis, and designs experiments to process the EEG
signals in MATLAB which generated by the stimulation of a frequency of
20HZ LED light-emitting module and extracted at the O1 channel.
Through compared the processing and precision of the three methods
provided a theoretical basis of reasonable choice for practical application
of brain-computer interface.
SunCIS-37
Book of Abstracts
Estimate the densities of pollutions in water quality monitoring
systems based on UV/vis spectrum
Tianrong Rao
Univ. of Scie. and Tech. of China
Qiang Ling
Univ. of Scie. and Tech. of China
Binfeng Yu
Univ. of Scie. and Tech. of China
Haibo Ji
Univ. of Scie. and Tech. of China
UV/vis spectrometric quantification is widely applied in water quality
monitoring systems. The UV/vis spectrum contains a huge amount of
information about the water composition so that it can be used to
measure the density of substances. However, the traditional methods to
estimate densities using spectrum based on Lambert-Beer’s law become
invalid in UV/vis spectrum because of the strong correlation among the
absorption ratio of different wavelengths in the UV/vis spectrum. So we
need to find a new estimating algorithm for water quality monitoring
systems based on the UV/vis spectrum. In this paper, we analyze the
traditional estimating algorithms. After that, we design an efficient
estimating algorithms for water quality monitoring systems and evaluate it
through orthogonal experiments.
SunCIS-38
A regularized estimation method for MR inhomogeneity correction
Zhaohui Li
Univ. of Scie. and Tech. of China
Qiang Ling
Univ. of Scie. and Tech. of China
Kaikai Song
Univ. of Scie. and Tech. of China
Feng Li
Univ. of Scie. and Tech. of China
Magnetic resonance imaging is affected by intensity inhomogeneity, also
known as the bias field, which is mainly caused by imperfections in the
radio frequency coils or inhomogeneous coil sensitivities in the receiving
coils. In this paper, we proposed a new method which automatically
correct the bias field using a regularized method.The method does not
need extra scan devices or empirical data. This method includes
minimizing a cost function containing both a data-fit term and a
regularization term, which provide robust inhomogeneity estimates. The
method choose a region in which the intensities are similar and then use
a low-pass filter and a regularized polynomial fitting method to estimate
the bias field. The method has been evaluated with both simulated data
and real clinical data and the results indicate that this method achieves
excellent performance in estimating the intensity inhomogeneities.
SunCIS-39
An Improved MRI Denoising Algorithm based on Wavelet Shrinkage
Kaikai Song
Univ. of Scie. and Tech. of China
Qiang Ling
Univ. of Scie. and Tech. of China
Zhaohui Li
Univ. of Scie. and Tech. of China
Feng Li
Univ. of Scie. and Tech. of China
Magnetic resonance imaging (MRI) is very important in medical
diagnosis. Denoising is a critical step for MRI diagnosis. Wavelet
shrinkage is an efficient denoising method. It can be further classified into
two types, the threshold method and the proportional-shrink method.
However, both methods have their disadvantages. When the threshold
method is implemented, the noise cannot be perfectly removed under a
hard threshold while the denoised image may have fuzzy edges with a
soft threshold. Furthermore, when the noise is too strong, the noise
removal may not be enough by the threshold method. The
proportional-shrink method requires that the variance field of the wavelet
coefficients should change smoothly and the noise should obey a
Gaussian distribution. If these assumptions are violated, the estimated
ratios would not be precise so that too much texture information may be
removed and the image can be distorted. This paper presents an
improved method to combine the above two methods. By combining the
processed results together, the improved method can achieve a good
balance between denoising and retaining the texture information. We
verify the efficiency of our method through some simulated data from an
open database.
SunCIS-40
A Multiple Autocorrelation Analysis Method for Motor Imagery EEG
Feature Extraction
Xiangzhou Wang
Beijing Institute of Tech.
An Wang
Beijing Institute of Tech.
Shuhua Zheng
Beijing Institute of Tech.
Yingzi Lin
Northeastern Univ.
Mingxin Yu
Beijing Institute of Tech.
A novel multiple autocorrelation method for single trial EEG feature
extraction was proposed. The time courses of ERD/ERS during motor
imagery were investigated by calculating multiple autocorrelation before
power spectrum analysis. Then the averaged power spectrums on
specific frequency bands were sent to a K-nearest classifier to validate
the separability between different classes. Compared with the result of
power spectrum, the multiple autocorrelation performed better in
attenuating noise and enhancing the separability between different
classes with a small quantity of electrodes (C3 and C4). The maximum
90.0% accuracy tested on dataset of BCI-competition 2003 for motor
imagery is achieved.
SunCIS-41
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2014CCDC
Flame Region Detection Using Color and Motion Features in Video
Sequences
Ligang Miao
Northeastern Univ.,
Gulf Security Tech. Cooperation LTD
Yanjun Chen
Northeastern Univ.
Aizhong Wang
Gulf Security Tech. Cooperation LTD
This paper proposes a new flame region detection method using color
and dynamic characteristic offlame in video sequences. Flame has very
distinct color characteristics, and nine discriminate rules are proposed in
RGB color space for flame detection, and these rules are combined to
detect the candidate flame regions. To validate a real burning flame
region, this paper uses ViBe algorithm to detect the moving regions, and
the candidate flame region containing no motion object are classified as
spurious flame-like regions. Experiment shows that this method can
achieve desired flame region in various scenes with high true positive
rate and low false detection rate.
SunCIS-42
A Speech Endpoint Detection Algorithm Based on Wavelet
Transforms
Yali Cao
Northeastern Univ.
Dongsheng La
Northeastern Univ.
Shuo Jia
Northeastern Univ.
Xuefen Niu
Northeastern Univ.
This paper highlights the sub-band average energy variance (SBAEV)
approach to perform the endpoint detection process, which involves the
segmentation of speech signals from non-speech signals. The SBAEV
models have been proposed to perform endpoint detections of isolated
digit utterances spoken in the Language. Experiment results obtained
from this method are acoustically verified, visually checked and
compared to the conventional method of endpoint detection. It was found
that the endpoint detection accuracy using the SBAEV approach is very
high and encouraging.
SunCIS-43
Recognition of Sub-health State Based on Principal Component
Analysis
Wanbing Li
Xijing Univ.
Hongwei Quan
Xijing Univ.
Dongliang Peng
Hangzhou Dianzi Univ.
In order to evaluate sub-health state, a new method based on Principal
Component Analysis (PCA) was discussed in this paper. Simultaneous
multi-information acquisition of ECG signals and pulse images was
achieved by using self-designed simultaneous acquisition system.
According to the change of grid area in each frame, pulse beat waves
were obtained from pulse image. Then the extraction and PCA of ECG
and pulse features were realized. Through Linear Discriminant Analysis
(LDA) algorithm, the satisfying recognition results of sub-health state’s
classification were gained. The results demonstrate the validity and
feasibility of this method, which provides a new way for assessing the
sub-health state.
SunCIS-44
Vibration Style Ladle Slag Detection Method based on Discrete
Wavelet Decomposition
Dengfeng Chen
Xi’an Univ. of Architecture and Tech.
Haiyan Xiao
Xi’an Univ. of Architecture and Tech.
Qichun Ji
Xi’an Univ. of Architecture and Tech.
The purity of molten steel is a crucial factor of steel products' quality.
Detection and removal of slag carryover from the molten metal is an
important task in steel makingprocedure, especially in the continuous
casting process. Researchers have applied several different slag
carryover detection methods to solve the slag carry-over since 1980s,
such as electromagnetic coils method of AMEPA, Infrared thermal
infrared imaging method, supersonic wave method and vibration method,
which are all non-contact methods and some other contact type slag
detection methods. In this paper, a non-contact vibration analysis slag
detection method is presented. The main principle of this method is
based on the vibration variety of ladle shroud between pure molten steel
fluid and slag carryover fluid. The experiences of steel making operators
have proven the differences of vibration wave in continuous casting
process. The signal data gathered from produce field is analyzed by
power spectral density (PSD) and discrete wavelet decomposition
(DWD). The experiment results are given, the vibration wave feature of
slag carryover is distinctive. Which verified the validity of vibration slag
detection method.
SunCIS-45
Multi-model Self-tuningWeighted Fusion Kalman Filter
Wenqiang Liu
Heilongjiang Univ. of Scie. and Tech.
Guili Tao
Heilongjiang Univ. of Scie. and Tech.
For the multisensor single channel autoregressive moving average
(ARMA) signal with a white measurement noise and autoregressive (AR)
colored measurement noises as common disturbance noises, when the
model parameters and noise statistics are partially unknown, a self-tuning
weighted fusion Kalman filter is presented based on classical Kalman
filter method. The local estimates are obtained by applying the recursive
Book of Abstracts
instrumental variable (RIV) and correlation method. The fused estimates
are obtained by taking the average of all corresponding local estimates.
Then the optimal weighted fusion Kalman filter is obtained by substituting
all the fusion estimates into the corresponding optimal Kalman filter. A
simulation example shows its effectiveness.
SunCIS-46
Spectrum Sensing for Cognitive Network Based on Principal
Component Analysis and Random Forest
Xin Wang
Northeastern Univ.
Shenyang Jianzhu Univ.
Zhigang Liu
Northeastern Univ.
Jinkuan Wang
Northeastern Univ.
Bin Wang
Northeastern Univ.
Xi Hu
Northeastern Univ.
Aiming to the problem of weak primary user signal detection rate in low
signal-to-noise ratio environments, we propose a novel spectrum sensing
method based on the principal component analysis (PCA) and random
forest (RF). From the received radio signal, a set of cyclic spectrum
features are first calculated, and the PCA is applied to extract the most
discriminate feature vector for classification. Furthermore, the detecting
signal is classified by the trained random forest to test whether the
primary user exists. Compares with MME, SVM, RF, our proposed
algorithm is evaluated through simulations. Experimental results show
that the performance of our proposed algorithm is much better than
compared algorithms in low signal-to-noise ratio environments.
SunCIS-47
Deep Boltzmann Machines based Vehicle Recognition
Aiqin Hu
Central South Univ.
Hong Li
Central South Univ.
Fan Zhang
Central South Univ.
Wei Zhang
Hunan Univ.
We address the problem of image-based vehicle recognition. This
problem is formulated as a manifold-feature learning algorithm such that
the expected object distribution is evaluated based on the appearance,
shape and contours that take into account variational poses and
occlusions. We propose to learn manifold hierarchical features where the
high-level discriminative features are obtained by capturing correlations
among the learned low-level generic features, via a deep learning model,
called Deep Boltzmann Machines (DBM), a powerful hierarchical
generative model for feature learning. DBM has been proved to be able to
explore underlying manifold knowledge of given objects by appropriately
describing highly nonlinear complicated functions with novel training
process. Moreover, we also present a novel application of deep learning
to feature representations, rather than provide the model input with raw
image pixels, we instead utilize the human-engineered descriptors such
as Log-Gabor, HoG and Gist, as the source data of deep learning
architecture. Finally, we evaluate our deep model on PASCAL VOC2012
benchmark dataset, extensive experiments show that our DBM-based
model enables to learn useful hierarchical feature representations from
few training samples. Specifically, by feeding the DBM-based deep
network with prior-described features such as Log-Gabor, HoG and Gist,
we get a significant improvement on performance in comparison with the
state-of-art results and the best performance is achieved by using a
fusion form of the three descriptors as source material for learning deep
model. Furthermore, experiments with prior-extracted features as input
layer demonstrate that the deep learning networks have provided a
perspective of potential ability to learn critical representation of given
data, and have presented favorable vehicle recognition performance.
SunCIS-48
An Improved Harris Corner Detection Algorithm For Low Contrast
Image
Liang Sun
PLA Univ. of Scie. and Tech.
Shuangqing Wang
PLA Univ. of Scie. and Tech.
Jianchun Xing
PLA Univ. of Scie. and Tech.
In seas security supervision, we should conduct feature extraction and
match for consecutive frames in order to effectively reduce the jitter
caused by wind-induced vibration. Harris corner point detection algorithm
is widely used in feature extraction for images. An improved algorithm for
Harris corner detection is proposed in this paper since the feature points
of images with large size, high pixel and low contrast ratio can not be
extracted accurately, especially for seas security monitoring. To begin
with, comparing with the eight pixel points around, we can select some
possible corner points. And then, by curve fitting, we can choose the pixel
points whose R values reach the maximum values in the X and Y
directions as the another kind of possible corner points. On top of this, the
above two kinds of possible conner points are processed by Susan
operator so as to take out the peripheral points and pseudo points, and
the best match points can be obtained. The experimental resultson seas
security applications show the effectiveness and feasibility of the
proposed method.
Monday, 2 June, 2014
MonA01
Robust control (III)
Room11A
8:00-10:00
141
Chair: Yuanyuan Zou
CO-Chair: Zhaoping Du
2014CCDC
East China Univ. of Science and Tech.
Jiangsu University of Science and
Tech.
8:00-8:20
MonA01-1
An Analysis and Design Method for Actuator Saturation Linear
Systems with Disturbance
Dongyan Chen
Harbin University of Science and Tech.
Junming Wang
Harbin University of Science and Tech.
Xiaokang Zeng
Harbin University of Science and Tech.
Yujin Shi
Harbin University of Science and Tech.
In this paper, the set invariance condition and disturbance rejection
problem of actuator saturation linear systems with disturbance are
discussed. Under the control of linear state feedback, the new set
invariance condition and new optimal approach to enlarge the invariant
ellipsoid are given by using composite quadratic Lyapunov functions
method. It is proved that the convex hull of some invariant ellipsoids is
also an invariant set, and a state feedback control law is constructed to
achieve disturbance rejection for closed systems. Finally, the
effectiveness of set invariance condition and disturbance rejection
method is demonstrated by an example.
8:20-8:40
MonA01-2
Different Robust Control Methods of a Combustion System
Qinghai Heng
Beijing Information Science and Technology Univ.
Jing Lu
Beijing Information Science and Technology Univ.
Huan Cao
Beijing Information Science and Technology Univ.
Li Li
Beijing Information Science and Technology Univ.
This paper makes a comparative study on the conventional H∞ mixed
sensitivity robust control design, H ∞ robust PI control design and
μ-synthesis PI control design of a combustion system. It presents the
design of the robust performance of the boiler combustion system with
the perturbations of the controlled members. It can be used to solve the
robustness problems of the boiler combustion system, which can not be
done by the conventional H∞ robust performance designs. It is pointed
out that the design of the robust performance of the boiler combustion
system can be formulated as a H ∞ mixed sensitivity problem or
μ-synthesis problem, if the uncertainty weighting function and the
performance weighting function of robust control of the combustion
system are revised appropriately. The selections of the weighting
functions of robust control of the combustion system are studied and the
H∞ mixed sensitivity robust PI controller and μ-synthesis PI controller
are solved. The simulation results of the combustion system show that
the proposed μ-synthesis PI control method is the best valid.
8:40-9:00
MonA01-3
Multi-time Scale Hierarchical Predictive Control for Energy
Management of Microgrid System with Smart Users
Jun Xu
East China Univ. of Science and Tech.
Yuanyuan Zou
East China Univ. of Science and Tech.
Yugang Niu
East China Univ. of Science and Tech.
In this paper, a multi-time scale hierarchal model predictive control
strategy is proposed to optimize energy management problem of a
microgrid with multiple smart users. According to the power flow among
different energy modules, a hierarchical system model and a multi-time
scale hierarchal energy optimization management problem are
established. The centralized controller in the upper layer is to optimize
the charge/discharge time and energy of storage devices, controllable
supply power adjustment and dispatch of the aggregators. The
optimization problem in the lower layer is to meet users’ demands in real
time. Meanwhile, in order to improve the disturbances caused by the
randomness of renewable energy and variant loads, a multi-time scale
optimization scheme is applied. At the slow scale, the upper optimization
problem is solved, and the optimal energy scheduling in the long-term
can be achieved. At the fast scale, the energy balance between supply
and demand of smart users can be realized in the short-term. Finally,
simulation results illustrate the effectiveness of proposed method.
9:00-9:20
MonA01-4
The Active Disturbance Rejection Control with a Load Torque
Observer for Secondary Regulation Hydraulic Speed System
Yajun Zhou
Beijing Institute of Tech.
Xiangzhou Wang
Beijing Institute of Tech.
Shuhua Zheng
Beijing Institute of Tech.
This paper focuses on the speed control of the hydraulic secondary
regulation system, which has a wide application prospect in hydraulic
drive due to its high system efficiency, fast dynamic response and energy
recovery capability. To obtain its robust speed control under the
conditions of load disturbances and system parameters variations, an
active disturbance rejection controller in conjunction with a load torque
observer is proposed. The active disturbance rejection control doesn’t
depend on the accurate system model and is inherently robust against
plant variations. The load torque observer is used to estimate load torque
disturbances and the estimation is used as feed-forward compensation in
the inner loop. The simulation results show that the combination of outer
loop active disturbance rejection controller and inner loop load torque
observer can significantly improve the static and dynamic performance of
Book of Abstracts
the speed system. Compared with the conventional PID control or using a
single control approach, the proposed control approach achieves a fast
and robust response without overshoot and has a strong anti-disturbance
ability, even in the case of large load torque disturbances and variations
in system parameters.
9:20-9:40
MonA01-5
H∞ Filtering for Nonlinear Systems Based on Prey-predator Model
With Stage Structure and External Disturbance
Zhaoping Du
Jiangsu University of Science and Tech.
Yuhua Si
Jiangsu University of Science and Tech.
Songlin Hu
Nanjing University of Posts and Telecommunications
In this paper, the problem of H∞ filtering for a class of nonlinear systems
based on prey-predator model is considered. Taking into account the
nonlinearity of the prey-predator systems, the model of these systems is
constructed. Then, via Lyapunov stability theory and linear matrix
inequality technique, the method of H ∞ filter design for nonlinear
prey-predator systems with stage structure and external disturbances is
also proposed. Finally, a numerical example is introduced to demonstrate
the effectiveness of the proposed approach.
9:40-10:00
MonA01-6
Design of Flight Control System for Tiltrotor Conversion Using QFT
Ke Lu
National Key Lab of Rotorcraft Aeromechanics
Zhengzhong Wang
National Key Lab of Rotorcraft Aeromechanics
Qiyou Cheng
National Key Lab of Rotorcraft Aeromechanics
Quantitative feedback theory (QFT) is a robust control design method.
QFT quantitatively mirror the system uncertainty and design performance
target to the Nichols chart, so the designed control system could ensure
the performance. Due to the parameter uncertainty in tiltrotor conversion
process, using QFT method design the flight control system for tiltrotor
conversion. Simulation shows that the controller has a good robust
performance.
MonA02
Room6A
Optimal control and optimization (IV)
8:00-10:00
Chair: Dexin Gao
Qingdao Univ. of Scie. & Tech.
CO-Chair: Ju Zhang
Zhejiang Univ. of Tech.
8:00-8:20
MonA02-1
Multi-Objective Two-Level Optimal Approach for Discrete Bilinear
Systems with Sinusoidal Disturbances
Dexin Gao
Qingdao Univ. of Scie. & Tech.
Qing Yang
Qingdao Univ. of Scie. & Tech.
Min Wang
Qingdao Univ. of Scie. & Tech.
The multi-objective control problem for discrete bilinear system with
disturbances is studied and a multi-objective optimal control algorithm for
solving discrete bilinear systems with sinusoidal disturbances is
proposed. In the lower order of the algorithm, the auxiliary Lagrangian
problem of bilinear -two quadratic form structures is solved by Dynamic
Programming. The weighting vector in the auxiliary Lagrangian problem
is adjusted by the upper level iterative. Continuously repeated this
process until the optimal solutions is solved. The simulation results show
the effectiveness of the approach.
8:20-8:40
MonA02-2
Explicit Model Predictive Control of 3-DOF Helicopter
Ju Zhang
Zhejiang Univ. of Tech.
Xinyan Cheng
Zhejiang Univ. of Tech.
By introducing Multi-parametric Quadratic Programming, EMPC (Explicit
Model Predictive Control) moves the frequent online computation of the
optimization problem offline and provides an explicit optimal control law
u*(x). Then the control law of current state x can be evaluated by
searching the table online. This makes the system of large size or high
sample rate finely controlled. In this paper, explicit model predictive
control of 3-DOF helicopter is presented in numerical simulation and
semi-physical simulation and both turn out well. Besides proving the
feasibility and performance of EMPC algorithm, semi-physical simulation
also enriches the application of EMPC.
8:40-9:00
MonA02-3
Dual-rate Inferential Predictive Control for Systems with Time-delay
Shengtao Li
Shandong Normal Univ.
Xiaomei Liu
Southeast Univ.
Wenying Zhang
Shandong Normal Univ.
Xiujuan Dong
Northeastern Univ.
Yuanwei Jing
Northeastern Univ.
A fast-rate model is obtained by transforming a system with state
time-delay into a system without time-delay. Based on the fast-rate
model, a dual-rate inferential predictive controller is designed and a new
method on designing dual-rate inferential predictive controller for systems
with state time-delay is given. Finally, a numerical example is given to
illustrate the effectiveness of the proposed method.
9:00-9:20
MonA02-4
142
2014CCDC
The Optimizing Design for LED Color Mixing Based on Artificial Fish
Swarm Algorithm
Xinyuan Luan
Shanghai Univ.
Tingzhang Liu
Shanghai Univ.
A new method to achieve most luminous efficacy of LED mixing color is
developed in this paper, and then algorithm simulation, samples design
and validation of the results have been carried out. Compared with the
traditional manual LED proportion calculation method, new LED
proportion calculation method is optimized by artificial fish swarm
algorithm (AFSA).As for AFSA with slow rate of convergence and low
accuracy, opposition-based reinforcement learning and adaptive weight
are introduced into AFSA. Then, the Matlab simulation is developed to
verify the algorithm. Finally, actual samples are designed and tested. The
simulation results show that the rate of convergence and accuracy are
improved, this is a minor difference between the actual and calculation
value, algorithm is feasible and the total solution achieves the goal.
9:20-9:40
MonA02-5
Improved Particle Swarm Optimization Algorithm in Dynamic
Environment
Changcheng Xiang
Hubei Minzu Univ.
Xuegang Tan
Hubei Minzu Univ.
Yi Yang
Hubei Minzu Univ.
In this paper, the improved Particle Swarm Optimization in dynamic
objective function environment (DOFPSO) is purposed. The dynamic
environment will change with the time t. The DOFPSO algorithm discuss
that how to determine changes of the time (environment) and how to
keep population diversity. The improved algorithm has the ability to fast
response the change of environment and could find the best fitness value
quickly. The results of experiment indicate that DOFPSO is more
effective than particle swarm optimization (PSO) and restart method
particle swarm optimization (RMPSO) in the response of change of
environment and fast convergence.
9:40-10:00
MonA02-6
First-order Contiguity Constraint on Traffic Analysis Zone
Delineation Problem
Linqing Wang
Northeastern Univ.
Jiafu Tang
Northeastern Univ.
Dongbei Univ. of Finance and Economics (DUFE)
This paper presents a kind of constraint to ensure first-order contiguity of
Traffic Analysis Zone delineation problem. Based on k-median facility
location model, a 0-1 integer programming mathematical presentation of
the problem, with objective of minimizing heterogeneity, is given. The
proposed model is compared with other three ones in terms of model
complexity and time consuming. The other three models have the
characteristics of ensuring not only the first-order contiguity. It is
concluded from the comparison that if zone number is smaller than
certain value, the proposed model terminated without a feasible solution.
Otherwise, the proposed model could obtain a satisfied solution within a
reasonable time. An agglomerative hierarchical clustering based heuristic
algorithm then is developed to deal with the non-solution situation.
Finally, a case study shows the advantage of the proposed model for
solving large scale problem.
MonA03
Nonlinear systems (III)
Chair: Jianhua Zhang
CO-Chair: Zhonghua Zhang
Room7A
8:00-10:00
East China Univ. of Scie. and Tech.
Northeast Dianli Univ.
8:00-8:20
MonA03-1
Nonlinear filtering based joint estimation of parameters and states
in polynomial systems
Qiang Jiang
East China Univ. of Scie. and Tech.
Jianhua Zhang
East China Univ. of Scie. and Tech.
Aiming to solve the problem of the accuracy of the states and parameters
estimation are greatly influenced by initial values in the polynomial
systems, this paper proposes a nonlinear filtering based joint state
estimation and parameter identification method in the polynomial
systems. Using the results of the least square as the initial values in the
Extended Kalman Filtering (EKF) algorithm for estimating the states and
parameters jointly in the polynomial systems. The results show that
compared to the models obtained by using EKF, models obtained by the
proposed method can greatly reduce the system state estimation error
covariance. Meanwhile, the states and parameters of the system
joint-estimation is also completed by the proposed method.
8:20-8:40
MonA03-2
Initial Alignment of Large Misalignment Angle in Strapdown Inertial
Navigation System Based on Gaussian Process Regression
Xi-jing Zhao
Xi’an Research Inst. of Hi-Tech, Xi’an
Li-xin Wang
Xi’an Research Inst. of Hi-Tech, Xi’an
Zhi-kun He
Xi’an Research Inst. of Hi-Tech, Xi’an
Bo Zhang
Xi’an Research Inst. of Hi-Tech, Xi’an
Han Zhao
Xi’an Research Inst. of Hi-Tech, Xi’an
Due to the large misalignment angle, the error model of a strapdown
inertial navigation system (SINS) is nonlinear. To solve the problem of the
model inaccurateness and the influences on alignment accuracy caused
Book of Abstracts
by the linearization of the nonlinear model, the nonlinear model for initial
alignment of large misalignment angle in SINS is established. To improve
the accuracy of the initial alignment under the nonlinear error model,
Gaussian process regression (GPR) method is applied in the initial
alignment of SINS and a novel initial alignment algorithm for large
misalignment angle based on GPR is proposed. The algorithm uses the
square-root cubature Kalman filter (SRCKF) to simulate training data for
GPR. The measurements of SRCKF are set as the training input and the
SRCKF estimated outputs of misalignment angles are set as the training
output. To identify the misalignment angles of SINS, GPR is used to
learning the nonlinear mapping relationship between inputs and outputs
of training data. Simulation results verify the validity and feasibility of the
novel algorithm in initial alignment.
8:40-9:00
MonA03-3
H ∞ Filtering for a Class of Stochastic Time-delay Nonlinear
Systems
Feng Zhao
Northeastern Univ.
Qingling Zhang
Northeastern Univ.
Chao Liu
Northeastern Univ.
Zedong Li
Northeastern Univ.
This paper deals with an H∞ filtering problem for a class of stochastic
time-delay nonlinear systems. The Itotype stochastic disturbances,
nonlinear term and time-varying delay appear in the system under
consideration. In terms of free-weighting matrix method and a new
Lyapunov functional, we derive a new sufficient condition for analyzing
mean-square stable with H∞ norm bound r of the filtering error system.
Both the desired filter analysis and synthesis problems are investigated,
and the existence condition of the filter is proposed by the linear matrix
inequalities (LMIs). Finally, an example is provided to show the
effectiveness of the proposed design approach.
9:00-9:20
MonA03-4
Backstepping Based Direct Power Control for Rectifier
Jingjing Huang
Xi’an Jiaotong Univ.
Aimin Zhang
Xi’an Jiaotong Univ.
Yuangang Sun
Xi’an Shiyou Univ.
Hang Zhang
Xi’an Jiaotong Univ.
Chao Zhang
Xi’an Jiaotong Univ.
Zhigang Ren
Xi’an Jiaotong Univ.
A backstepping based direct power control (DPC) method is proposed for
the three-phase voltage-source rectifier. In the proposed backstepping
based controller, the feedback control laws associated with the Lyapunov
functions are constructed recursively to lower the dimension of the overall
system. The stability of the system is ensured by the designed power
controller which provides the best switching states. The proposed DPC is
verified with the simulation and experiment. The results show that,
compared with the conventional DPC, the current Total Harmonic
Distortion (THD) of the proposed DPC is less than 45% of that of the
conventional DPC in the steady state, and the phase error between the
voltage and current is reduced by 66.7%. The transient setting time of the
proposed DPC is only half of that of the conventional DPC.
9:20-9:40
MonA03-5
A Controller Design for Spacecraft Attitude Maneuvering with
Control Saturation Based on L2-gain
Shi Zhong
Civil Aviation Univ. of China;
Binzhou Vocation Coll.
Wang Hui
Civil Aviation Univ. of China
Li Li
Harbin Inst. of Tech.
Hu Qing-lei
Harbin Inst. of Tech.
In this paper, a simple robust saturation controller is developed for
attitude maneuver of a rigid spacecraft, in which external disturbances
and control input constraint are simultaneously taken into account.
Precisely, a class of novel nonlinear saturation functions, called power
saturation
function,
is
investigated
to
rigorously
enforce
actuator-magnitude saturation constraints. Although control smoothness
is preserved at all times, it is important to note that the results of this
paper that are derived with respect to magnitude saturation place no
additional restrictions on the body inertias and make no other small-angle
assumptions. The novelty of the approach is in the strategy to construct
such a Lyapunov function that ensures not only stability of closed-loop
system but also an L2-gain constraint on the performance, which
provides a closed-form solution for spacecraft attitude control problem,
compared with the conventional methods. Finally numerical examples
illustrate the effectiveness and robustness of the proposed controller.
9:40-10:00
MonA03-6
Chaos Control of Oscillator Circuit Based on Adaptive
Backstepping Method
Zhonghua Zhang
Northeast Dianli Univ.
This paper is concerned with chaos control of the oscillator circuit system.
Firstly, the adaptive backstepping method is applied to control chaos, and
an adaptive backstepping controller is designed based on the model of
oscillator circuit system. Then, by discussing, we obtain that the controller
can automatically turn on when the oscillator circuit system is in a chaotic
state. Finally, numerical simulations are given to show that the controller
143
2014CCDC
can make chaos eliminate and then guarantee the global stability of the
oscillator circuit system.
MonA04
Hybrid systems
Chair: Guangdeng Zong
CO-Chair: HuanXin Li
Room7B
8:00-9:40
Qufu Normal Univ.
China Univ. of Petroleum
8:00-8:20
MonA04-1
Finite-time H∞ control for extended Markovian jump systems with
partially known transition probabilities
Dong Yang
Qufu Normal Univ.
Guangdeng Zong
Qufu Normal Univ.
This note addresses the problem of finite-time H1 control for a class of
extended Markovian jump systems. The stochastic process of given
system is described by a Markovian chain, and the knowledge of
transition jump rates is inaccurate. In this case, the theoretical results on
finite-time boundedness, H1 finite-time boundedness and finite-time H1
state feedback stabilization, are developed, respectively. Then, the
purpose is to design a finite-time H1 state feedback controller so that the
corresponding closed-loop system result to be finite-time boundedness. It
is shown that the corresponding existence conditions are presented via a
set of strict linear matrix inequalities. Finally, a numerical example is
given to demonstrate the effectiveness of the proposed theoretical
results.
8:20-8:40
MonA04-2
Active Fault Tolerant Control of CSTR System Based on MLD Model
HuanXin Li
China Univ. of Petroleum
Yu-Hong Wang
China Univ. of Petroleum
Predictive control based on mixed logical dynamical (MLD) model can be
used as control strategy for hybrid systems effectively. Active fault
tolerant control can safeguard the systems running normally, in the case
of the damage of the part components in the systems. In this paper,
active fault tolerant control based on MLD model is researched with
actuator fault. Active fault tolerant control scheme is then applied to a
continuous stirred tank reactor (CSTR). Simulation results show the
effectiveness of this fault tolerant MPC control.
8:40-9:00
MonA04-3
On the absolute stability approach to quantized feedback control:
Further insight
Xiju Zong
Univ. of Jinan
Xingong Cheng
Univ. of Jinan
By exploring some geometric properties of the logarithmic quantizer and
using the fact that the logarithmic quantizer is sector bounded and
nondecreasing, this paper presents a new approach to the stability
analysis of quantized feedback control systems. Our method is based on
Tsypkin-type Lyapunov functions that have been widely used in absolute
stability analysis problems. The results are expressed in linear matrix
inequalities (LMIs) and are valid for both single-input and multiple-input
discrete-time linear systems with a logarithmic quantizer. Theoretical
analysis shows that the results in this paper are generally less
conservative than those in the quadratic framework.
9:00-9:20
MonA04-4
Sensitivity Analysis of Optimal Control Problems for Switched
Systems
Jinjin Liu
Southeast Univ.
Kanjian Zhang
Southeast Univ.
Xiaomei Liu
Southeast Univ.
Haikun Wei
Southeast Univ.
This paper investigates the problem of sensitivity analysis for switched
autonomous systems involving uncertain parameters. The aim is to find
switching instants which minimizes the cost function, and meanwhile
makes it robust to the variation of the original objective with respect to
unknown parameters. We focus on the fixed switching mode sequences
and convert the sensitivity problem into a conventional optimal switched
control problem, which can be solved directly using the gradient descent
algorithm. The efficacy of the proposed method is illustrated via
numerical example.
9:20-9:40
MonA04-5
Robust Fault Detection Filter Design for Linear Switched Interval
Systems
Jiawei Wang
Harbin Inst. of Tech.
Yi Shen
Harbin Inst. of Tech.
Miao Zhang
Harbin Inst. of Tech.
Switched interval system is a kind of special switched system whose
parameter matrix changes in a limited and known range. Because
switched property and interval matrix exist simultaneously, the structure
of switched interval system is more complicated than common switched
system. The fault detection problem is studied in this paper. The method
of common lyapunov function is used under arbitrary switching signal.
The exsitence condition and design method of robust fault detetion filter
are given in LMI form. Then a simulation example prove the validity of
method in the last section.
Book of Abstracts
MonA05
Delay systems
Chair: Chenxiao Cai
CO-Chair: Xiaobin Mao
Room8A
8:00-9:40
Nanjing Univ. of Scie. and Tech.
Scie. and Tech. on Information Systems
Engineering Laboratory
8:00-8:20
MonA05-1
Hopf bifurcation analysis for a model of RNA silencing with two
delays
Tingting Yu
Heilongjiang Univ.
Xian Zhang
Heilongjiang Univ.
Guodong Zhang
Heilongjiang Univ.
Min Su
Heilongjiang Univ.
In this paper, a four-dimension genetic regulatory network model with two
time delays is considered. Firstly, the existence of Hopf bifurcation is
considered. Then, by using the normal form method and center manifold
theory, the explicit formulas are derived to determine the direction of the
Hopf bifurcation and the stability of the bifurcating periodic solutions.
Finally, one numerical example is exploited to support the theoretical
analysis of the research.
8:20-8:40
MonA05-2
Partial eigenvalue assignment problems for time-delayed systems
Xiaobin Mao
Scie. and Tech. on Information Systems
Engineering Laboratory
In this paper, partial eigenvalue assignment problems for time-delayed
systems are considered. A constructive method based on the
orthogonality relations of quadratic pencil is provided. It is shown that it is
possible to assign partial eigenvalues of a vibrating system while keeping
the rest of the eigenvalues invariant in the presence of time delay
provided that the original system is partial controllable for the eigenvalues
that need to change. Specifically, the explicit solution for the single-input
case and the parametric solution for the multi-input case are given.
8:40-9:00
MonA05-3
Improved Robust Stability Criteria for Uncertain Discrete-Time Lur’e
Systems with Interval Time-Delay
Wenyong Duan
Nanjing Univ. of Scie. and Tech.
Chenxiao Cai
Nanjing Univ. of Scie. and Tech.
Zhengfan Liu
Nanjing Univ. of Scie. and Tech.
This paper is concerned with robust stability for uncertain discrete-time
Lur’e systems with interval time-delay and sector bounded nonlinearity.
By dividing the variation interval of the time delay into two subintervals
and using a novel sum-inequality, some new delay-dependent robust
stability criteria are derived in the form of linear matrix inequalities(LMIs)
without using the general free-weighting matrix method. The criteria are
less conservative and more efficiently calculative in computing the
maximum allowed delay bounds (MADBs). Finally, two standard
numerical examples are presented the effectiveness of the proposed
approach.
9:00-9:20
MonA05-4
Truncated Predictor Feedback for Periodic Linear Systems with
Input Delays with Applications to the Elliptical Spacecraft
Rendezvous
Bin Zhou
Harbin Institute of Tech.
Zhaoyan Li
Harbin Institute of Tech.
This paper considers stabilization of periodic linear systems with
time-varying input delays. The truncated predictor feedback (TPF)
approaches established earlier for time-invariant systems are generalized
to the time-varying setting. By carefully investigating the solutions and
properties to a class of parametric Lyapunov differential equations, it is
proved the TPF controllers can indeed stabilize the concerned
time-varying linear time-delay systems for arbitrarily large and bounded
delays as long as the characteristic multiplier set of the open-loop system
is within the closed unit circle. Both single input delay and multiple input
delays are addressed. Moreover, the control matrices of the systems are
not necessarily periodic. The developed TPF approach is then applied on
the elliptical spacecraft rendezvous problem and numerical simulations
validate the effectiveness of the established approaches.
9:20-9:40
MonA05-5
Dual-rate Sampled-Data H∞ Control for Vehicle Active Suspension
Systems
Wei Bai
Shanxi Univ.
Kai Jia
Southeast Univ.
Yanping Yang
Shanxi Univ
Dawei Zhang
Shanxi Univ
This paper investigates the problem of dual-rate sampled-data H ∞
control for a vehicle active suspension system. In the system, the state
variables are sampled by two types of sensors, and the ratio of two
sampling rates is assumed to be a positive integer. Depending on
whether the sampled states at two sampling rates are available
simultaneously or separately, a periodic switched controller is proposed.
Then, by using an input delay approach, the closed-loop system is
144
2014CCDC
modeled as a switched system with different input delays. A
delay-dependent criterion on the existence of the switched controller is
established such that the system is exponentially stable with a prescribed
H∞ performance. The effectiveness of the proposed method is shown by
a numerical example.
MonA06
Room8B
Fault diagnosis and fault-tolerant control (IV)
8:00-10:00
Chair: Hao Yang
Nanjing Univ.of Aeronautics and Astronautics
CO-Chair: Xin Zhang
China Jiliang Univ.
8:00-8:20
MonA06-1
Robust Fault Tolerant Control of Under-actuated VTOL Aircraft
Yuanqing Jiang
Nanjing Univ. of Aeronautics and Astronautics
Hao Yang
Nanjing Univ. of Aeronautics and Astronautics
Bin Jiang
Nanjing Univ. of Aeronautics and Astronautics
This paper presents a nonlinear robust fault tolerant control scheme to
force the faulty system to asymptotically track a given desired trajectory
via cascade observers. Focusing on the external disturbance and
actuator faults of the nonlinear non-minimum phase vertical take-off and
landing aircraft, two decoupled reduced order observers are designed to
estimate the unknown disturbance and fault. By using the coordinate
transformation and feedback linearization, two decoupled tracking
subsystem are decomposed from the overall system, then two robust
optimal feedback controllers are designed respectively to stabilize the two
subsystems. And on this basis, the robust fault tolerant controller is
proposed by using the fault estimation, which can make the overall
close-loop system asymptotically stable. The effectiveness of the
presented method is demonstrated by simulation results.
8:20-8:40
MonA06-2
Incipient Fault Detection Based on Empirical Likelihood
Xin Zhang
China Jiliang Univ.
Yingping Sang
China Jiliang Univ.
Jiusun Zeng
China Jiliang Univ.
Zhenwei Huang
Zhejiang Institute of Metrology
A fault detection method based on empirical likelihood is presented to
deal with the incipient fault in process and equipment. The problem of
incipient fault detection is studied in the view of distribution test by a
moving window approach. The original fault detection problem is
transformed into distribution test, and a set of empirical likelihood values
is computed. Based on the likelihood values, the confidence limit is
determined as the 95th or 99th percentile of the likelihood values. The
main advantage is that it can improve the sensitivity and efficiency of
incipient fault detection without making any assumptions on the
distribution of variables, and the calculation is relatively simple. The
simulation and application results show that the method is feasible and
effective, and has higher detection rate and sensitivity than traditional
principal component analysis.
8:40-9:00
MonA06-3
Fault Detection of Rolling Bearing Based on EMD-DPCA
Liying Jiang
Shenyang Aerospace Univ.
Guangting Gong
Shenyang Aerospace Univ.
Yanpeng Zhang
Shenyang Aerospace Univ.
Zhipeng Liu
Shenyang Aerospace Univ.
Jianguo Cui
Shenyang Aerospace Univ.
As one of the most widely used parts and components of rotating
machineries, fault detection of rolling bearing is of great significance. In
this paper, a new method named EMD-DPCA is proposed based on
Empirical Mode Decomposition (EMD) and Dynamic Principal
Component Analysis (DPCA). Firstly, the vibration signals are
decomposed by EMD and Intrinsic Mode Functions (IMFs) are achieved.
Then DPCA model is established by many selected IMFs and used to
detect rolling bearing’s failures. The proposed scheme is verified with
experimental data collected from deep groove ball bearing of a 2 hp
motor driven mechanical system and the results show that the strategies
can detect bearing faults efficiently.
9:00-9:20
MonA06-4
Fault Diagnosis for Rolling Element Bearing Using EMD-DFDA
Liying Jiang
Shenyang Aerospace Univ.
Yanpeng Zhang
Shenyang Aerospace Univ.
Guangting Gong
Shenyang Aerospace Univ.
Zhipeng Liu
Shenyang Aerospace Univ.
Jianguo Cui
Shenyang Aerospace Univ.
A new fault diagnosis method for rolling element bearing is proposed
based on empirical mode decomposition (EMD) and fisher discriminant
analysis (FDA). First, non-stationary vibration signals are processed by
applying EMD technique, and stationary IMF components are obtained.
Then, fault feature vectors with the moving time-lagged windows are
composed using the absolute values of IMF components of healthy and
detection bearings in order to consider the dynamic behavior. Finally, a
DFDA model is construed and a linear discriminant matrix is obtained by
which IMF components are projected into the low discriminant space. The
diagnosis performance of the roposed method is tested using a dataset
from bearing data center of Case Western Reserve University.
Book of Abstracts
9:20-9:40
MonA06-5
Fault Diagnosis Method of Non-linear Analog Circuits Based on
Volterra Series and SVM
Huafeng He
The Second Artillery Engineering Univ.
Yicheng Chen
The Second Artillery Engineering Univ.
Zheng Yang
The Second Artillery Engineering Univ.
Huixuan Deng
The Second Artillery Engineering Univ.
A new fault diagnosis method of analog circuits is proposed in this paper.
The method is based on Volterra series and SVM. This paper introduces
the basic theory of Volterra series and SVM and deduces the proposed
identification method in detail. The identification method is applied to the
fault diagnosis of a non-linear analog circuit. The simulation result shows
that the proposed method can obviously improve the fault diagnosis rate
compared with the traditional method.
2014CCDC
Bin Liu
Shanghai Maritime Univ.
This paper addresses the pricing decision of the high timeliness
merchandise under dynamic uncertainty, and investigates three different
dual channel structures including retail channel, online channel and
name-your-own-price (NYOP) channel. Firstly, this paper develops the
aggregate demand function based on consumer utility theory, then
analyzes the equilibrium pricing strategy and profit under different
channel structures by using game theory, exploring whether the supplier
should introduce online channel or NYOPchannel. The results
demonstrate that online channel structure enables supplier to obtain
more profits than retail channel structure. For traditional retailer, the dual
channel structure including NYOP is optimal when the consumer friction
coefficient is not greater than four out of five consumer transportation
coefficient.
9:40-10:00
MonA06-6
A Fault-tolerant Control Method for Satellite with Uncertainties and
Saturation
Wenjie Duan
Beijing Institute of Control Engineering
Dayi Wang
Beijing Institute of Control Engineering
A fault-tolerant control scheme including integral sliding mode, control
allocation and parameter identification is introduced to deal with faults
together with uncertainties and saturation. The Lyapunov stability is
guaranteed by stability conditions respectively for uncertainties and
saturations. Faults are tolerated by control allocation scheme based on
the efficiency parameters, which call for a special requirement of
parameter identification. The method is applied to a six-wheel spacecraft
and simulation shows its effectiveness.
09:20-09:40
MonA07-5
A Dynamic Fuzzy Multi-attribute Group Decision Making Method for
Supplier Evaluation and Selection
Ruirui Bai
Soochow Univ.
Fanzhang Li
Soochow Univ.
Jiwen Yang
Soochow Univ.
There are two key activities for an effective supply chain, one of which is
the supplier evaluation and the other one is the supplier selection. In this
paper, focusing on the dynamic fuzzy problems involved in the process of
the supplier evaluation and selection, we proposed a dynamic fuzzy
multi-attribute group decision making new method. Specifically, we would
fully describe the decision-making information by employing dynamic
fuzzy evaluation matrix, and get the best supplier by utilizing the ordered
entropy weights. Experimental results on a practical supplier case show
that the new model proposed here can not only effectively solve the
problems of supplier evaluation and selection but also work better than
the TOPSIS method.
MonA07
Supply chain and logistics management
Chair: Hali Pang
CO-Chair: Guihong Hu
Room9A
08:00-10:00
Northeastern Univ.
Northeastern Univ.
Heze Univ.
08:00-08:20
MonA07-1
Coordinative Scheduling Problem of Single Machine Manufacturing
and Delivery with Due Date Windows
Hali Pang
Northeastern Univ.
Considering capacity of transportation measured by space and delivery
route constraints, a coordinative scheduling problem of single machine
manufacturing and multiple customer delivery with due date windows was
studied in this paper. A bi-levelmathematic programming model was
presented, and a PSO algorithm is proposed to solve the problem. Some
computing tests were performed to compare the different algorithm
strategies.
08:20-08:40
MonA07-2
Model and Algorithm for the 4PL Multi-Objects Routing Optimization
Problem Based on Low Carbon Logistics
Guihong Hu
Northeatern Univ.
Heze Univ.
With the development of Low Carbon Economy, Low Carbon Logistics
has attracted more and more researches’ attention. Logistics routing
optimization is one of the important ways to reduce carbon emissions.
Based on the analysis of practical problem, considered the cost, time and
carbon emissions three properties of the route, a mathematical model of
the point to point multi-objects routing optimization of the Fourth Party
Logistics (4PL) is established. Through using the method of weight sum
that considered the customer’s behavioral factors to tackle the
multi-objects problem. Considering the characteristics of the problem, a
double selection strategy Ant Colony Optimization (DACO) algorithm is
designed for the problem. The algorithm is tested by example analysis
and numerical analysis with different parameter values and different scale
of the problem. The results suggest that the algorithm is effective and
efficient.
08:40-09:00
MonA07-3
Optimization the Location of Container Depots with Environmental
Constraints
Peiqing He
Qingdao Hotel Management Coll.
The paper provides a new way to optimize the location of container
depots. According to the environmental effect brought by the daily
operation of depots, in the optimal model both cost and environmental
constraints are taken into account. In order to assess the environmental
effect caused by depots, an AHP model was used in the paper. Because
of the environmental constraints are considered in the model, the
decision of the location of depots can not be made just according to cost.
In order to test the model, it is implemented to locate the depots around
Qingdao port.
09:00-09:20
MonA07-4
Structure Choice and Equilibrium Analysis on High Timeliness
Merchandise Distribution Channel
Qian Wu
Henan Agricultural Univ.
Fenyi Dong
Henan Agricultural Univ.
Rong Zhang
Shanghai Maritime Univ.
145
09:40-10:00
MonA07-6
A Spatio-temporal Based Parallel Insertion Algorithm for Solving
Dial-A-Ride Problem
Jingmei Guo
Northeastern Univ.
Chao Liu
Northeastern Univ.
A static dial-a-ride problem with time windows is investigated, without wait
while carrying passengers and maximum ride time constraints as the
service quality. A parallel insertion heuristic based on the spatial and
temporal aspects is presented. The proposed algorithm firstly sorts the
requests based on the earliest pickup time and decentralization index
alternately and initializes the routes with seed requests. Then a
insertion-rejected-reinsertion operation is performed, in which the spatial
aspect as the granular is also considered. Simulation results indicate that
the proposed algorithm reduces costs effectively, compared with the
algorithms only considering the temporal aspect and no seed requests.
Also, sensitivity analysis indicates that the required vehicle number is
insensitive to the granular extent and the initial vehicle number.
MonA08
Instrumentation systems
Chair: Zhemin Wu
CO-Chair: Qi OuYang
Room9B
8:00-10:00
Harbin Engineering Univ.
Chongqing Univ.
8:00-8:20
MonA08-1
Moving State Marine SINS Initial Alignment Based on Transformed
Cubature
Yonggang Zhang
Harbin Engineering Univ.
Yulong Huang
Harbin Engineering Univ.
Zhemin Wu
Harbin Engineering Univ.
Ning Li
Harbin Engineering Univ.
In this paper, we propose an initial alignment method for marine
strap-down inertial navigation system (SINS) based on transformed
cubature Kalman filter (TCKF) under large heading misalignment angle
condition, which can alleviate the non-local sampling problem inherent in
existing initial alignment method based on cubature Kalman filter (CKF).
As can be seen from our simulation results, TCKF outperforms CKF
considerably in terms of accuracy and SINS alignment speed.
8:20-8:40
MonA08-2
A New Method for All-around Identification of Two-Phase Flow
Pattern Based on SVM and ECT
Yutao Wang
Northeastern Univ.
Shuwang Di
Northeastern Univ.
Based on electrical capacitance tomography (ECT) technology and
support vector machine (SVM) algorithm, a new method for all-around
identification of two-phase flow pattern is proposed combining radial
information with axial information of the gas-solid two-phase flow.
Compared with the conventional sectional identification method, this
method adds another axial one and thus providing more information for
the industry. The SVM model of the radial identification is built on basis of
the feature parameters extracted from the 28 capacitance values of the
8-electrode capacitance. Then the axial recognition is accomplished with
the help of the radial identification results. Both static and dynamic
experiments were carried out in lab and the identification accuracy
separately reached 96.7% and 95.3%.
Book of Abstracts
8:40-9:00
MonA08-3
Finite Element Simulation and Optimization Design of Capacitance
Sensor with Loop Test Plate
Bin Ji
Northeastern Univ.
Yutao Wang
Northeastern Univ.
Gang Yang
Northeastern Univ.
Jinfeng Yuan
Northeastern Univ.
Flow pattern is complicated and changeable under the background of
dense-phase pneumatic conveying in a horizontal pipe, which has great
influence on other flow parameters. If a sensor can detect other
parameters of slug combined with the characteristics of the flowpattern,
the result will be more accurate. In this paper, in order to solve this
problem, a new type of capacitance sensor is put forward, which
combines the flow pattern recognition with the concentration detection of
slug. The sensor has a high spatial resolution than other sensors.
Focusing on the poor sensing field sensitivity uniformity and low
measuring sensitivity, an approach combining finite element analysis with
orthogonal experiment is proposed to optimally design the sensor. The
results of simulation and experiments show that the optimized sensor has
a more homogeneous circumferential sensitivity field, and it can detect
the slug flow accurately. The sensor is more suitable to test slug than
ECT sensor. Therefore, the sensor has a good application prospect in the
field of two-phase flow testing.
9:00-9:20
MonA08-4
EMAT Detection Method of Spray Cooling Characteristics for
Industrial Nozzle
Qi OuYang
Chongqing Univ.
Yuebing Zeng
Chongqing Univ.
Xinglan Zhang
Chongqing Univ. of Tech.
Ximeng Chen
Chongqing Univ.
The paper describes a new ultrasonic measurement technology that
evaluates a spray nozzle cooling characteristics based on measured
time-of-flight data using an electromagnetic ultrasonic transducer
(EMAT). A spiral electromagnetism ultrasonic transducer was used to
measure the ultrasonic velocity dependence of temperature in a certain
thickness metal plate.The instantaneous time-of-flight time data were
used to determine the velocity and deduce the interior and surface
temperature.To verify the validity of the ultrasonic measurement result,
one-dimensional unsteady heat transmission equation is establishedto
compute the heat transfer coefficients (HTC) theoretically compared
withultrasonic measurement results. Through some one-dimensional
analysis, this work will showthat the HTC is a natural and stable quantity
to estimate ultrasonic time of flight measurements.
9:20-9:40
MonA08-5
Design of Engine data acquisition PCI card based on FPGA
Yang Zhu
GuiZhou Univ.
Minhui Wang
GuiZhou Univ.
In order to achieve the signal acquisition and control requirements of
engine system, this paper designs a kind of high-speed multi-channel
data acquisition card, which is built with Altera Cyclone series FPGA
EP1C12Q240C8N as the main control chip, using VHDL to realize the
real-time acquisition and output control for high-speed multi-channel
analog and switch quantity, then the card communicate portable PC
monitoring and control system with PCI9054 bus. The data acquisition
card can complete 24 way switch quantity input, 6 way switch quantity
output, 3W programmable resistance output, engine rotational speed
sampling, bridge circuit voltage sampling, surge pulse sampling and
bridge resistance sampling. And simple, reliable, practical, portability
and flexibility are the features of the system, etc. This paper mainly
elaborates the design idea and realization method of data acquisition
card, and verified by experiments and practical application.
9:40-10:00
MonA08-6
Fractional Fourier Transform for Ultrasonic Ranging Device
Yongjun Zheng
Zhejiang Univ.
China Jiliang Univ.
He Li
China Jiliang Univ.
Fei Wang
China Jiliang Univ.
Shanan Zhu
Zhejiang Univ.
Ultrasonic ranging device send out ultrasonic pulse for the measurement,
the reflected acoustic wave is received by the device and changed into
electrical signal by piezoelectric sensor; the distance is calculated
according to the time different of sending and receiving. But there is noise
in the echo acoustic wave that will affect the quality of the received signal,
which will make the reading wrong or instability. This study proposes a
new filtering method, first the echo signal is processed by fractional
Fourier transform, thenmost of the noise is filtered out by the band pass
filter, finally the original signal is restored by inverse fractional Fourier
transform, making echo quality better. This method integrates the
information of the signal in time domain and frequency domain
information, improves the signal-to-noise ratio compared with the
traditional filtering methods, make signal noise separation more
effectively.
MonA09
Space and underwater robots
Room10A
8:00-10:00
146
Chair: Shengying Zhu
CO-Chair: Changzhong Pan
2014CCDC
Beijing Institute of Tech.
Hunan Univ. of Scie. and Tech.
8:00-8:20
MonA09-1
Deep Space Moving Target Detection Based on Technology of
Image Matching
Haning Xiu
Beijing Institute of Tech.
Shengying Zhu
Beijing Institute of Tech.
Pingyuan Cui
Beijing Institute of Tech.
A detection method of moving targets in deep space is researched based
on technology of image registration. According to the characteristics of
deep space image information, a SUSAN feature point extraction
algorithm is modified to inhibit isolated noises which are similar to
sidereal feature points, and it effectively eliminates isolated noises. The
geometric constraint among stars in the star image settles a feature
points matching algorithm. Finally, matching of two images by affine
transformation and differential option locates the moving target. Trials
show that this method realizes moving targets detect and search in deep
space where detector is under the condition with various disturbances.
8:20-8:40
MonA09-2
An Efficient Neural Network based Tracking Controller for
Autonomous Underwater Vehicles Subject to Unknown Dynamics
Changzhong Pan
Hunan Univ. of Scie. and Tech.
Simon X. Yang
Univ. of Guelph
Xuzhi Lai
Central South Univ.
Lan Zhou
Hunan Univ. of Scie. and Tech.
This paper proposes an efficient neural network (NN) controller for the
tracking control of an autonomous underwater vehicles(AUV) subject to
unknown vehicle dynamics and significant uncertainties. The controller is
first designed based on the error dynamics by using backstepping
technique. Then, the unknown dynamics and uncertainties of the vehicle
are handled by introducing a NN with single-layer structure. The design of
the NN is based on the vehicle regressor dynamics that expresses the
highly nonlinear dynamics in a linear form in terms of the known and
unknown dynamic parameters. The big advantage of the proposed
tracking controller is that the learning algorithm of the NN is simple and
computationally efficient. In addition, the developed controller is capable
of compensating bounded unknown disturbances. The tracking errors are
proved to uniformly ultimately bounded and converge to a small
neighborhood of the origin. The effectiveness and efficiency of the
proposed controller is demonstrated by simulations results.
8:40-9:00
MonA09-3
Horizontal Zigzag Maneuverability of UUV in Limited Space
Caoyang Yu
Huazhong Univ. of Scie. and Tech.
Xianbo Xiang
Huazhong Univ. of Scie. and Tech.
Rui Zhao
China Ship Development and Design Center
Unmanned Underwater Vehicles (UUV) is a useful tool for underwater
exploration and scientific research in ocean engineering, and the
maneuverability of UUV attracts many research concerns. In this paper,
maneuverability simulation of a full-size UUV is conducted, where the
horizontal motion equations is built by hydrodynamic modeling
approach. Simulation results show the largest motion distance in the
radial direction of horizontal zigzag maneuver in different speeds and
rudder angles. It also reveals characteristic values of Zigzag maneuver in
limited water space, which makes contributions to feasible
maneuverability tests in small-size tank. Based on this method, a kind of
handy calculation software could be developed to quickly generate
feasible maneuverability data in any limited space.
9:00-9:20
MonA09-4
A Traveling Wave Fitting Method for Robotic Fish with a Multi-joint
Caudal Fin
Guang Ren
Beijing Institute of Tech.
Chao Wang
Beijing Institute of Tech.
Fei Wang
Beijing Institute of Tech.
Aimed at the carangidae robotic fish with a multi-joint caudal fin, a circle
threshold interval discretion (CTID) method is proposed to fit the traveling
wave of the fish body. Firstly, a circle is established by using the known
length of tail joint as a radius, and there is an intersection point between
the circle and the traveling wave of fish body. Then, the values of error
equation are respectively calculated by sampling a threshold interval
which is close to the intersection point. As a result, a coordinate would be
obtained at the point of the minimum value of error equation, thus the
traveling wave could be perfectly fitted at one moment. Finally, all joints
are fitted for a whole swing period by adopting this type of method.
Simulation images show the fitting method could get perfect fitting effect,
and it would improve the propulsion efficiency of robotic fish.
9:20-9:40
MonA09-5
Networked Mars Satellite System Design and Autonomous
Navigation Analysis
Subuda Menggen
Beijing institute of Tech.
Pingyuan Cui
Beijing institute of Tech.
Shengying Zhu
Beijing institute of Tech.
In this paper, a multitasking 3-layer Mars centered satellite system is
Book of Abstracts
proposed to meet the future demands of a long term in-place
communication and navigation over Mars. The Mars satellite
constellations are capable of onboard autonomous navigation via the
visibility based relative measurements of the satellites in different layers
which are forming a time varying diamond-shaped topological structure.
The main results of this paper contain that 1) a multitasking 3-layer Mars
satellite system which is composed of19 satellites is constructed, 2) a
computational method of designing a multi-layer satellite system which is
cost optimal and has ISL(Inter-satellite Links) topological structure is
developed, 3) an extended Kalman filter is used to estimate the positions
and velocities implementing the autonomous navigation of the Mars
satellite system, and, 4) the simulations of the satellite systems are
performed to analyze the position and velocity estimation errors.
9:40-10:00
MonA09-6
Vibration Suppressive Control of Flexible-Joint Space Manipulators
Based on Legendre Pseudospectral Method
Guangyan Xu
Shenyang Aerospace Univ.
Changming Sun
Shenyang Aerospace Univ.
Hongmei Zhang
Shenyang Aerospace Univ.
Xia Chen
Shenyang Aerospace Univ.
Biao Zhou
Shenyang Aerospace Univ.
The vibration suppressive control problem is a challenge of flexible-joint
space manipulators, which is settled by solving the energy optimal
nonlinear control problem in this paper. Based on Legendre
pseudo-spectrum method, the nonlinear model of optimal control problem
is converted into the corresponding nonlinear programming problem. The
complex and difficult two-point boundary value problem is solved by
SNOPT. Compared with the traditional controller, the simulation results
show that the joint trajectory can obey the joint flexible factors to move
from the initial state to the end smoothly with a better result of vibration
suppression in the process of movement by using the LPM. It can also
ensure the terminal control precision.
MonA10
Renewable energies (II)
Chair:Yang Hu
CO-Chair: Zhiyong Li
Room10B
8:00-10:00
North China Electric Power Univ.
Central South Univ.
8:00-8:20
MonA10-1
LPV T-S Fuzzy Gain Scheduling Control of WTGS below Rated Wind
Speed
Yang Hu
North China Electric Power Univ.
Jizhen Liu
North China Electric Power Univ.
Zhongwei Lin
North China Electric Power Univ.
This paper studies the Linear Parameter Varying (LPV) Takagi-Sugeno
(T-S) fuzzy gain scheduling control of Wind Turbine Generation System
(WTGS) below rated wind speed. The T-S fuzzy linearization approach is
used to deal with the Affine Nonlinear Parameter Varying (ANPV) model
of WTGS and the LPV T-S fuzzy model with required accuracy is
obtained. Considering the maximum utilization of wind energy and the
alleviation of mechanical loads, the H∞problem based on the LPV T-S
fuzzy
system
is
formulated.
Through
introducing
the
parameter-dependent Piecewise Quadratic Lyapunov Functions
(PQLFs), the output feedback H ∞ control synthesis procedure is
proposed to treat the problem. The sufficient conditions are given in
Linear Matrix Inequalities (LMIs) form. The simulation results show the
effectiveness of the LPV T-S fuzzy gain scheduling control of WTGS.
8:20-8:40
MonA10-2
Flexible Grid-connection Technique of Quasi-Z Source Photovoltaic
Power Generation System based on Direct Power Control
Yuxun Luo
Central South Univ.
Zhiyong Li
Central South Univ.
Xingyao He
Central South Univ.
Xuexiu Zeng
Central South Univ.
To make the Quasi-Z-source inverter applied in photovoltaic systems
better, a flexible grid-connection method based on direct power control is
proposed. The proposed method adopted grid power to control APF
directly, thus the detection of harmonics and reactive current of loads is
omitted. Moreover, space vector modulation(SVM) is adopted to keep
switching frequency constant and improve dynamic performance. In this
paper, the reference value of power control loop is acquired from the
Quasi-Z source network and the power compensation required by
maximum power point tracker(MPPT) is also considered. Therefore a
comprehensive optimization of active power loss and the compensational
performance is achieved. Besides, the control reliability is improved and
the cost is reduced. Simulation results verified the validity and feasibility
of the approach.
8:40-9:00
MonA10-3
Energy dynamic optimization model research for off-grid run micro
grid
Qing Ai
Hubei Univ. for Nationalities
Dongshan Geng
Hubei Univ. for Nationalities
Shaowu Li
Hubei Univ. for Nationalities
Yongchao Yang
Hubei Univ. for Nationalities
Kunyi Chen
Hubei Univ. for Nationalities
147
2014CCDC
The off-grid run micro grid can give full play to the efficiency of the
distributed generations, and can be used as the beneficial supplement of
interconnected power grid. On the basis of analyzing the typical power
supply constraints, the energy optimization model is established in order
to most low running cost maximizing the use of wind and solar energy as
the principle. Typical day energy scheduling strategy is used for dynamic
optimization of micro power using real number coding genetic algorithm.
The simulation results show that the method can select the optimal
dynamic unit commitment in the real time, according to the prevailing
conditions of the natural resources and the load change then to achieve
the economic operation of the system.
9:00-9:20
MonA10-4
The Influence of Groundwater Seepage on Ground Heat Exchange
Gangjie Yang
Beijing Univ. of Tech.
Min Guo
Beijing Univ. of Tech.
In order to determine whether the groundwater seepage has an impact on
the ground heat exchanger in thermal efficiency, a three-dimensional
coupling thermal seepage model of the vertical u-tube ground heat
exchanger was established. The standard κ-ε turbulence model was used
inside the pipe and the porous media model was used outside the pipe.
The heat transfer process was simulated by the FLUENT software in
summer cooling condition. By the simulation results, the outlet
temperature of the seepage model of heat exchanger is lower than the
no-seepage model of heat exchanger, and with the seepage velocity
increasing, the heat exchanger’s outlet temperature is lower, soil
temperature field around the heat exchanger offset more serious.
Therefore, the groundwater seepage of ground heat exchanger has
certain influence in the thermal efficiency, the greater the seepage
velocity, the higher the efficiency of heat exchanger. What’s more, the
seepage direction will affect the distribution of the soil temperature field
around the heat exchanger.
9:20-9:40
MonA10-5
Modeling and Simulation of Heat and Moisture Transfer of the
Geothermal Borehole
Quanwen Jiao
Beijing Univ. of Tech.
Yating Zhang
Beijing Univ. of Tech.
According to the mass conservation and energy conservation theorem,
established a finite length cylindrical surface heat and moisture transfer
model which base on the cylindrical heat transfer model of vertical ground
source heat exchanger for soil layer around geothermal borehole. Using
COMSOL multi-physics coupling analysis software, simulated the
non-steady-state heat and moisture transfer for soil layers of heat
exchanger under summer operating conditions, and analyzed the
influence in temperature field and moisture field of soil layers exerted by
the heat and moisture transfer under different soil thermal properties and
initial moisture contents. At last there is verification by FLUENT software.
9:40-10:00
MonA10-6
Modeling and Simulation of Four Boreholes Heat Transfer and
Intermittent Running
Yating Zhang
Beijing Univ. of Technology
Quanwen Jiao
Beijing Univ. of Technology
In order to simulate and analyze the soil temperature field of borehole
groups in different working condition, a four boreholes vertical U-shaped
pipe heat transfer model outside the boreholes in cylindrical coordinate is
established. Using the Virtual Heat Source and Green function method,
based on g-function and the unsteady three-dimensional heat transfer
model, the four boreholes model gives out a numerical simulation on the
heat transfer process in the case that the soil is isotropic medium with
MATLAB. Compared to the experiment the accuracy of the model is
verified. By the simulation results, intermittent running is beneficial to the
recovery of soil temperature and small running ratio is better than large
one.
MonA11
Computer Games(Invited Session)-I
Chair: Xinhe Xu
CO-Chair:
Room11B
08:00-10:00
Northeastern Univ.
08:00-08:20
MonA11-1
UCT Algorithm in Amazons Human-computer Games
Xiali Li
MINZU University of China
Liang Hou
MINZU University of China
Licheng Wu
MINZU University of China
The main difficulty of Amazons games is the huge branch factor.
Traditional NegaMax Search and Alpha-Beta Search can only search a
few layers and can’t improve the games effectively. Monte-Carlo
Algorithm can improve the games but it needs a huge amount of
computing. This paper studies applying UCT algorithm to the Amazons
games to overcome this problem in order to balance the search efficiency
and computing load. In UCT mini-max tree search, the algorithm select
tree node according to the node's UCB (Upper Confidence Bound)
value .Then evaluate the selected node and return the optimal moves.
Using C++ programming language, we implemented Amazons
human-computer games software. The experiments show that UCT
algorithm can implement the search work in Amazons human-computer
Book of Abstracts
games and get satisfactory search efficiency.
08:20-08:40
MonA11-2
Search Strategy Research and Analysis for Surakarta Chess Game
Chang Liu
University of Science & Technology Beijing
Jiaxin Wang
University of Science & Technology Beijing
Yunpeng Zhang
University of Science & Technology Beijing
As one of the most important part of Computer Game, the search
algorithm is the key to every chess game.This paper formulates a new
search strategy based on the basic algForithm. It briefly introduces the
theory and technique of hyFbrid search strategy and the dynamic control
of the depth of the search strategy. Efforts are also made to establish a
kind of search depth which is not limited to integers.Experiments are
conducted to have tested and evaluated the above strategies. They have
been successfully used in Surakarta game program, which have helped
us win the champion in the 2013 National Undergraduate Computer
Game Competition.
08:40-09:00
MonA11-3
Application and Design of Computer Games System in Connect6
Jun Tao
Jianghan University
This paper introduces the present development and situation of computer
games, especially in connect6. Through the regulations of computer
games in connect6, it is described that main technologies and principles
are existing in the connnect6 game. According to the algorithm and
application of other mature computer games, the five steps of connect6
method and skill is improved to be advanced and modified effectively and
critically. These five steps are the followings: chess interface response,
evaluation function, move generator, searching engine and starting steps
database. The advanced and modified techniques are proved to be
practical and applicative by the experimentation of computer games
system in connect6 provided in this paper.
09:00-09:20
MonA11-4
The Game Method of Checkers based on Alpha-Beta Search
Strategy with Iterative Deepening
Zicheng Zhao
Beijing Institute of Technology
Songze Wu
Beijing Institute of Technology
Jiao Liang
Beijing Institute of Technology
Fuyu Lv
Beijing Institute of Technology
Changlong Yu
Beijing Institute of Technology
With the game of checkers board games, this paper proposes an
algorithm based on the alpha-beta search and iterative deepening
optimization. Through adjusting the search depth dynamically, we have
solved the problems caused by changes in chess. Also, this paper
designs a kind of zoning evaluation function considering pawn difference,
in which the board is divided into six regions and assessed respectively.
To quantify the pawn difference, experiments are conducted to get the
reasonable scaling factor of the king and ordinary.
09:20-09:40
MonA11-5
Chinese Chess Recognition Algorithm Based on Computer Vision
Gui Wu
Jianghan University
Jun Tao
Jianghan University
This paper introduces the Chinese chess recognition algorithm based on
computer vision and image processing. In order to simplify processing
and enhance efficiency, the images of chessboard and chessman need
preprocessing in advance. The steps of preprocessing include of
transformation from color images to gray images, images filtering with
mean filter or median filter, and binaryzation of the gray images. The
edges of chessboard and chessman are able to be extracted from the
binarized images by image segmentation. Then the location of center of
chessman and the circle edge of chessman can be calculated with an
advanced Hough transformation, which can ascertain the location of
chessman in the chessboard and the size of each chessman. According
to the features of chess images, main recognition method is to analyze
the radial chess pixel statistical data with mathematical morphology.
Because the values of pixel coordination in any angle of chessman can
keep same and stable, the recognition algorithm should be with a good
recognition rate from the experimental results. The advanced and
modified recognition algorithm is proved to be practical and applicative by
the experimentation of computer vision system in Chinese chess games
provided in this paper.
09:40-10:00
MonA11-6
The Overview for UAV Air-combat Decision Method
Li Fu
Shenyang Aerospace University
fuhuai xie
Shenyang Aerospace University
Dongzheng Wang
Dalian University of Technology
Guanglei Meng
Shenyang Aerospace University
With the rapid development of intelligent technology, sensing technology,
digital communication technology and virtual reality technology etc, the
research for air-combat UAV ushered in a rare opportunity. The UAV
Air-Combat Decision problem has become one of the research focuses of
the military field in the world. Firstly, this paper analyzes the specific
process of the UAV Air-Combat Decision and divides it into four
decision-making phases. Secondly, the paper introduces the research
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status and the decision-making methods of the various phases, to further
analyze the UAV Air-Combat Decisions. Finally, the paper analyzes in
detail the difficulties and the research trends of the UAV Air-Combat
Decision in the future.
MonAIS
Interactive Session
The lobby of the 4th floor
08:00-10:00
MonAIS-01
Predictive Control of Arc Furnace Based on Genetic Algorithm
Ping Guan
Beijing Information Scie.and Tech.Univ.
Xiaohe Liu
Beijing Information Scie.and Tech.Univ.
Yuezhao Gao
Beijing Information Scie.and Tech.Univ.
The predictive control based on genetic algorithm is applied to the
electrode regulator systems of industrial arc furnace, and the detailed
design procedure of the dynamic matrix controller is presented .The
predictive control model of the industrial arc furnace is designed. The
optimal control law of the electrode regulator systems of arc furnace is
obtained by rolling optimization. The feedback compensation is adopted
to diminish the predictive error, so as to obtain the desired output of the
system. The genetic algorithm is used to optimize the controller
parameters. The results of simulation show that the proposed algorithm
can significantly improve the dynamic performance of the system and the
robustness of the system is enhanced.
MonAIS-02
A Simple Model of Human Balance Postural Control
Jinzhuang Xiao
Hebei Univ.
Wenhui Zhou
Hebei Univ.
Hongrui Wang
Hebei Univ.
When human gravity center was out of equilibrium owing to disturbance,
there would be a dynamic process to equilibrium state. This process
comes with neural system and motion system. In order to simulate this
process well and truly, this paper provides a candidate method based on
SimMechanics, where under the premise of local linearization of motion
system and PID controller abstracted for neural system, human body
dynamics including body, motion system and central nervous system is
modeled. On the other hand, the model parameters were adjustable
according to the actual gender, weight and height. Through the
comparison with the real gravity data, it was demonstrated that the
presented simulating method is feasibility and rationality. At the same
time, through the simulation, we could provide practical data support to
research on algorithm development for the evaluation of human balance
capability.
MonAIS-03
Fast Model Predictive Control of 3-DOF Helicopter
Ju Zhang
Zhejiang Univ. of Tech.
Rong Yu
Zhejiang Univ. of Tech.
In order to solve the problem that model predictive control（MPC） is
difficult to apply to the large scale system or fast dynamic system，in this
paper ，we describe a new fast online optimization predictive control
method .This method is to exploit the structure of the QPs that arise in
MPC, reorder the appropriate variable and use the advanced
interior-point to improve the control performance and achieve the rapid
control objective. At the same time, we apply the method to the 3-DOF
helicopter, and make a comparison between the fast MPC and the
traditional MPC. The advantage of the fast MPC is concluded.
MonAIS-04
Research on the Modeling and Simulation of Multi-axial Drag Lifting
Work System Using the Distributed Net Modeling Approach
Gang Tang
Wuhan Univ.of Tech.
Xianglian Xu
Wuhan Univ.of Tech.
Pingting Xu
Wuhan Univ.of Tech.
Ting Liu
Wuhan Univ.of Tech.
Crane is one of the indispensable tools in the engineering application,
and it is one of the multi-axial drag lifting work systems. In this paper, the
idea of distributed physical net modeling is adopted to the modeling and
simulation of simplified multi-axial drag lifting work system which is based
on DC motor, a way of applying in the practical application is put forward.
After building a model in MATLAB/SIMULINK platform and carrying out a
simulation of the system, the simulation results verify the feasibility and
practicability of the model.
MonAIS-05
Trajectory Planning of 6-DOF Manipulator Based on Combination
Function Method
Shuhua Ma
Northeastern Univ.
Northeastern Univ.at Qinhuangdao
Lin Yang
Northeastern Univ.
Zhigang Liu
Northeastern Univ.at Qinhuangdao
Jinkuan Wang
Northeastern Univ.
Trajectory planning can ensure the robot arm move smoothly and quickly
to the target position and realize the humanoid robot hand grasping. In
the paper, we proposed a trajectory planning of the H20 humanoid robot
Book of Abstracts
arm based on combination function method. It is composed of cycloid and
cosine function with different frequency. The combination of cycloid
function and cosine function adopted has solved the problem that angular
velocity and angular acceleration are high in other methods. Thus, it
reduces the vibration and makes the movement more stable. The
manipulator kinematics is analyzed in a coordinate system established by
Denavit-Hartenberg method. The trajectory planning process and the
simulation results in the joint space is described. The simulation results
show that the method has advantages of providing a smooth movement
and reducing the peak values of angular velocity and angular
acceleration. The time to complete a given operation is shorter, which
improves the work efficiency of the robot.
MonAIS-06
Object Tracking via Fragment-based Multi-task Sparse State
Inference
Chunjuan Bo
Dalian Nationalities Univ.
Rubo Zhang
Dalian Nationalities Univ.
Guanqun Liu
Dalian Nationalities Univ.
Honguang Cao
Dalian Nationalities Univ.
Object tracking is an important issue in computer vision and has many
potential applications. This paper cast the tracking problem as a sparse
representation problem, in which the tracked object is sparsely
represented by a series of candidate samples in each frame. For both
object template and candidate samples, their observation image patches
are divided into multiple fragments to model the feature and spatial
information at the same time. Then the state inference processing can be
viewed as a multi-task learning problem, which can be solved by the
accelerated proximal gradient (APG) method. Finally, we design a
generative tracker based on the proposed model and a simple online
update manner. To evaluate our tracker and compare it with other popular
tracking algorithms, we conduct several experiments on some
challenging image sequences. Both qualitative and quantitative
evaluations illustrate that our tracker achieves better performance than
other trackers.
MonAIS-07
Dynamic Modeling and Control for a Morphing Aircraft
Jie Zhang
Beijing Univ.of Aeronautics and Astronautics
Sentang Wu
Beijing Univ.of Aeronautics and Astronautics
Military and civil aviation are requiring higher performance for the aircrafts
in recent years. The Morphing techniques can effectively improve
aircraft’s performance to meet the customer’s multi-role requirement for
the aircraft. The physical model of a variable-span and variable-sweep
morphing aircraft is simplified. Based on the Kane’s method, the
morphing motions are assumed to be controllable known inputs, and the
wings’ movements are expressed by constraint equations. The six
components of the translational velocity and the angular velocity of the
morphing aircraft’s body in the body-fixed frame are selected as the
generalized speeds. Six degree-of-freedom dynamic model is built. The
model can be used as a basis in the research and development of the
flight control system for the morphing aircraft. Based on the steady-state
assumption, the longitudinal dynamics is achieved. BQM-34 is chose as
the research platform, and the aerodynamic coefficients of four different
configurations are computed using the Missile Datcom software. The
longitudinal dynamic model is linearized for loiter and dash
configurations. Based on pole-placement, the controllers are designed for
these two shapes. The configuration’s transition process from loiter to
dash is simulated while the control gains are linearly scheduled as a
function of the morphing process.
MonAIS-08
Transition Trajectory Guidance for A Conceptual Space-based
Missile
Zhengdong Hu
Scie.and Tech on Complex Land Systems
Simulation. Lab.
Xuemei Tang
Scie.and Tech on Complex Land Systems
Simulation. Lab.
Wenli Yan
Scie.and Tech on Complex Land Systems
Simulation. Lab.
The transition trajectory guidance technology for a conceptual
space-based missile is studied in this paper. Firstly the conception of
using a missile striking from space is described. For the extraatmospheric
flight phase, the time-fixed orbital transfer theory is utilized to determine
braking position and braking velocity. And then a finite thrust guidance
approach with gravity anomaly compensation by virtual reentry position
prediction is presented to eliminate planning error. Finally, the
performance of the proposed guidance approach is verified and analyzed
by computer simulation.
MonAIS-09
Model Predictive Contouring Control for Direct Drive XY Table
Hao Zheng
Shenyang Univ.of Tech.
Limei Wang
Shenyang Univ.of Tech.
Contouring control can provide precision machine tool control an effective
method, and many methods have been proposed to date. Direct drive of
linear motor is the inevitable demand and trends for improving CNC
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2014CCDC
processing speed and precision. XY table contouring systems involve
competing control objective of maximizing accuracy while minimizing
traversal time. To meet high-speed, high precision and complex contour
machining requirement, a model predictive controller is presented. The
new controller is successfully implemented in real time on an XY table,
and can meet the requirement of high precision control .simulation results
show the contouring control method gets a performance improvement.
MonAIS-10
Adaptive Zero Phase Based Internal Model Control for Direct Drive
XY Table
Long Li
Guidaojiaotong Polytechnic Institute
In direct drive XY table system, due to the load disturbance and
parameter variation and parameter mismatch between the two axis of
uncertainty factors will affect the contour machining precision, adaptive
zero phase error tracking controller (ZPETC) combined with internal
model control (IMC) control strategy is presented to control the tracking
error, and cross-coupling control method is used to coordinate the
movement of two axis control in order to improve the contour machining
precision, thus to achieve the tracking error and contour error decreases
at the same time. Adaptive ZPETC for a given trajectory has better
tracking performance. Internal model control has good tracking of
regulatory, the advantages of strong robustness, can eliminate the
interference of unpredictable. The cross coupling control (CCC) method
can effectively realize the dynamic contour error compensation, make the
contour error minimum. The simulation results show that the designed
control system has good tracking and robustness, can effectively improve
the tracking accuracy and the contour accuracy.
MonAIS-11
Compensation of Dead-time Effects Based on Adaptive Voltage
Disturbance Estimator in PMSM Drives
Haifeng Xiao
Northwestern Polytechnical Univ.
Xi’an Aeronautical Aniversity
Yuyao He
Northwestern Polytechnical Univ.
To suppress the phase current distortions of the inverter in
permanent-magnet synchronous motor (PMSM) drive, an effective online
approach for dead-time compensation of the inverter control using a
simple disturbance voltage estimator is proposed. The dead-time
elimination scheme does not depend on some undesirable characteristics
of inverter, such as dead-time, turn-on/off time of switching devices, and
voltage drop of switching devices. The proposed method can easily
calculate the disturbance voltages, which is induced by the relationship
between variation of the current (Δid , Δiq) and the increment of the
opposing electromotive force within a sampling period according to the
rotor dynamics lagging behind the electromagnetic responses in the rotor
synchronous reference frame. Then, the compensation of dead-time
effect can be easily implemented by feedforwardly adding compensation
voltages to the output reference voltage in the current control loop. This
validity of the proposed compensation algorithm is shown through several
simulations and experiments on a 4.5-KW laboratory PMSM drive.
MonAIS-12
A Discrete Model Reference Sliding Mode Controller with a
Disturbance Compensator and Its Application to Flight Simulator
Chao Cai
Beihang Univ.
Weihong Wang
Beihang Univ.
Wulong Zhang
Scie.and Tech.on Space System S
imulation Lab.
As for parameters fluctuating, uncertainties caused by external
disturbance and friction, the nonlinearity of the flight simulator turntable
servo system, a discrete model reference sliding mode control theme
combining with adaptive method and decoupled disturbance
compensator is presented, and the globally asymptotically stability of the
system is proved. The simulation results verified that the proposed
control method can restrain the uncertainties and external disturbance of
the flight simulator servo system efficiently assuring the dynamic tracking
performance and strong robustness at a long range frequency.
MonAIS-13
A Research of DC Motor Dual Close-loop PID Speed-tuning System
on the Basis of ABC Algorithm
Dongshan Geng
Hubei Univ.for Nationalities
Kunyi Chen
Hubei Univ.for Nationalities
Yongchao Yang
Hubei Univ.for Nationalities
Shaowu Li
Hubei Univ.for Nationalities
Qing Ai
Hubei Univ.for Nationalities
This thesis, subject to the obstacles exist throughout the process of
tuning and optimization of the prevailing DC Double close-loop PID
controller parameters, explains to realize the tuning and the optimization
of PID controller parameters by introducing the Artificial Bee Colony
Algorithm on the basis of Nectar Collecting Behavior to the DC Double
close-loop tuning system. The comparison and the analysis, processed
by step response between the consequences of the Artificial Bee Colony
Algorithm and Engineering Methods, indicate that the improved Artificial
Bee Colony Algorithm can help us obtain a better dynamic performance
index, and a faster following behaviors and robustness, due to which a
Book of Abstracts
practical and more comprehensive method to optimizing PID parameters
is discovered.
MonAIS-14
Research on Static Evaluation Method for Computer Game of NoGo
Yuxia Sun
Shenyang Aerospace University
Guojun Rao
Shenyang Aerospace University
Huimin Sun
Shenyang Aerospace University
Yuan Wei
Shenyang Aerospace University
The game of NoGo needs to be optimized its theoretical system and
evaluation methods since it is been proposed in recent years. At present,
most of the programs of NoGo are based on Monte-Carlo Tree Search
(MCTS), but its programs are rarely based on static evaluation algorithm.
In this paper, according to the rules and characteristics of NoGo, a static
evaluation method has been put forward. In the method, the points on the
chessboard of NoGo are classified by the summarized information of the
points around them firstly and then the empty points are estimated. The
valuation of an empty point is according to its type and the types of the
points around it. The sum of the valuations of all empty points on the
chessboard is the total evaluation of the chessboard. The experimental
results show that the static evaluation method can accurately estimate
the value of each state in NoGo.
MonAIS-15
Study of Strategy Selection Based on Phantom Go
LiFei
Shenyang Aerospace University
Ouyang Li
Shenyang Aerospace University
Wang Yajie
Shenyang Aerospace University
Dong Yanqiu
Shenyang Aerospace University
Recent years, Monte Carlo and UCT (Upper bound Confidence for Tree)
have been widely used in algorithms of computer games, and
considerably improved computer Go programs. Phantom Go is a game
with incomplete information and different with Go. The study of Phantom
Go is just beginning. Most algorithms of Phantom Go applying Monte
Carlo or UCT directly, but results are not quite satisfactory. In this paper,
we analysis the characteristic of Phantom go, apply several strategies in
different stages and try to improve the competition of program. Our
experimental findings indicate that strategies selection method can be
applied to Phantom Go effectively.
MonAIS-16
Research of Einstein würfelt nicht! Monte Carlo Algorithm Based on
Optimized Evaluation
Xiaoyan Wang
Shenyang Aerospace University Engineering T
raining Center
Hong Zhang
Shenyang Aerospace University Engineering T
raining Center
Yajie Wang
Shenyang Aerospace University Engineering T
raining Center
Jie Qi
Shenyang Aerospace University Engineering T
raining Center
Bin Zhou
Shenyang Aerospace University Engineering T
raining Center
The valuation of game situation was experimentally studied according to
the characteristics of Einstein würfelt nicht!(EWN), and a reasonable
evaluation method is obtained in this paper. In addition, this paper
presents an optimized Monte Carlo algorithm based on the valuation of
game. Finally, the optimized Monte Carlo algorithm played chess
respectively with the Mini-Max algorithm and Monte Carlo algorithm, and
a result got by comparative analysis.
MonAIS-17
The Analysis and Research on Computational Complexity
Qiang Gao
Northeastern University
Xinhe Xu
Northeastern University
Computational complexity is a branch of the theory of computation. It is
used to measure how hard a problem is solved and the common
measures include time and space. The classes of time complexity
generally include: P, NP, NP-hard, NP-complete and EXPTIME; the
classes of space complexity generally include: PSPACE, NPSPACE,
PSPACE-hard and PSPACE-complete. Researching computational
complexity of a problem can make it explicit whether there is an effective
solving algorithm of the problem or not. This paper introduces and
analyzes some fundamental concepts of computational complexity, and
discusses complete problems of time complexity and space complexity
by examples; What's more, the relation among complexity classes is
analyzed in detail.
MonAIS-18
Automation Control System for 1.2Mt/a Pelletizing Plant of JINDAL
SAW Co., Ltd. India
Cao pengfei
Hefei Univ.of Tech.
Ning jianxin
Hefei Univ.of Tech.
Haribansh.Yadav
Hefei Univ.of Tech.
The paper goes deep into discussing about the Technological Process，
Technical equipment and automatic controlling system of the pellet
production of the technology of chain grate, rotary kiln and annular
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2014CCDC
cooler.
MonAIS-19
Dynamic Modeling and Analysis for a New Grounding Method
Zhigang Zhang
State Grid of China Tech.Coll.
Weidong Ding
Shandong Electric Power Research Institute
Xuefeng Li
State Grid of China Tech.Coll.
This paper is concerned with the present situation of grounding device in
large scale power plant and power substation. We discuss high voltage
transmission line with its mathmatic model. Base on the concluded linear
model, a new grounding method is proposed for improving the damping
performance of low frequency oscillation. The simulation result validates
the effectivity of the presented method.
MonAIS-20
System Design For Aircraft Fuel Control And Maintenance Test-bed
Chuntang Zhang
Qingdao Univ.of Scie.and Tech.
Shaokun Wang
Qingdao Univ.of Scie.and Tech.
The fuel system is one of the most important component parts of aircraft
and plays a vital role for the smooth implementation of the safety of
aircraft mission. The platform uses computer software and hardware
simulation technology (Making combination of software and hardware
simulation which not only covers troubleshooting content requirements
but also avoids assembling Air Material).The working principle of the fuel
control system power check, troubleshooting and field repair process can
be simulated by the system. So it could be utilized to train the students
repairing ability and also as a meaningful assessment method to evaluate
the trainees.
MonAIS-21
Control System Design and Simulation for UAV during Aerial
Refueling
Zhiping Liu
Xi’an Technological Univ.
Mingjing Zhu
Xi’an Technological Univ.
Fang Tan
Xi’an Technological Univ.
In this paper, the design of simulation software and control system for
unmanned aerial vehicle (UAV) during aerial refueling is proposed, in
which the simulation software is constructed under Microsoft Visual
Studio 2010, and control system is designed based on the linear control
theory and assumption of relatively small perturbations during the
docking. The proposed model has the merits of explicitly formulating the
dynamic states to be controlled. The simulation architecture and control
system design procedure was described. Based on the mathematical
model, and assigned mission scenario of the UAV, the simulation results
demonstrated the visualization of the simulation software and feasibility
of the proposed control system design scheme.
MonAIS-22
A Dead-Beat Control Method for APF Based on Mixed Prediction
Wei Han
Northeastern Univ.
Inner Mongolia Univ.for Nationalities
Dazhi Wang
Northeastern Univ.
Yunlu Li
Northeastern Univ.
Zhen Liu
Northeastern Univ.
Affected by the signal sampling, processing and executing delays, the
conventional dead-beat control is actually a one-step-delay control. To
solve this problem, an improved dead-beat control method is discussed in
this paper. The method calculates the output average voltage one
sampling period earlier using the prediction reference current value two
sample instants in advance and the inverter output prediction current
value one sample instant in advance, and then the “real” dead-beat
control will be achieved. A mixed prediction strategy is also proposed
considering both the steady and dynamic states of the load, which will
make the control method process a better precision and dynamic
characteristic. At last, simulation and experiment prove that the improved
dead-beat control in this scheme can compensate the harmonic current
very effective both in the steady and dynamic conditions.
MonAIS-23
The Research and Application of Heavy Conventional Weapons
Simple Guidance Technology In The Future
Ming Xu
Baicheng Weapon Test Center
Bin Liu
Baicheng Weapon Test Center
Jinlong Yu
Unit 63810,Hainan
This article in view of the development and application’s present situation
of the current domestic simple guidance technology in the heavy
conventional weapons, and research the trajectory correction technology,
the core technology of simple guidance technology, for the next upgrade
of the development of heavy conventional weapons and equipment
providing certain enlightenment function, so as to adapt to the big depth,
high precision, low cost mode of the future war demand, in turn to raise
the status of the conventional weapons.
MonAIS-24
A new chaotic secure communication scheme based on shape
synchronization
Book of Abstracts
Yuan-yuan Huang
Guangdong Univ.of Tech.
Changsha Univ.of Scie.&Tech.
Yin-he Wang
Guangdong Univ.of Tech.
This paper presents a new way to transmit and retrieve an information
signal via chaotic systems based on shape synchronization. In contrast to
existing schema with chaotic synchronization, the scheme is adopted for
the purpose of faster synchronization and high security. Firstly, the drive
signals are synthesized chaotic signal instead of drive variables in order
to high security. Secondly, the drive and available signal are separated,
which avoid affecting the synchronization between master and slave
systems thereby enhance confidentiality. In addition, the purposed
control approach can complete faster synchronization so as to enhance
synchronizing speed. The system has the high safety performance and
wide application.
MonAIS-25
Estimation Model and Simulation for Auditory Localization with
Fewer Sensors
Bing Chen
Zhengzhou Institue of Information Scie.and Tech.
Yong Gao
Zhengzhou Institue of Information Scie.and Tech.
Zuwei Yin
Zhengzhou Institue of Information Scie.and Tech.
Wei Gao
Zhengzhou Institue of Information Scie.and Tech.
A sound from long distance may arrive different sensors at different
moment. Existing field Anti-Sniper systems always need 4 or more sound
sensors to locate sound source. This paper gave a method to make some
assumptions and estimate the orientation of the sound source with fewer
sensors. The following simulation gave the calculation contrast, which
showed that the method in paper could narrow the scope of sound source
target effectively, and promote the practical solution of Anti-Sniper
system in battlefield.
MonAIS-26
Design of Fuzzy Controller for Air-Conditioning Systems Based-on
Semi-tensor Product
Xiaohui Hua
Shandong Jianzhu Univ.
Peiyong Duan
Shandong Jianzhu Univ.
Hongli Lv
Shandong Jianzhu Univ.
Zhaosheng Zhang
Qufu Normal Univ.
Xiuwen Yang
Shandong Jianzhu Univ.
Chunjun Zhang
Shandong Jianzhu Univ.
A novel air-conditioning fuzzy controller based-on semi-tensor product
(STP) is applied into a thermal comfort control system, according to
difficulty for air conditioning to control indoor thermal comfort. Through
STP of matrices, the measured sampling data of indoor temperature and
humidity are used to obtain a matrix-based fuzzy relation structure model.
Instead of the complex process of logical reasoning and fuzzy rule sets,
the matrix algebraic form is constructed directly and the design of
air-conditioning comfort control systems based-on indoor temperature
and humidity is realized. Then this air-conditioning fuzzy controller is
applied into an indoor thermal comfort control system. Experiments and
simulation results shown that this air-conditioning fuzzy controller can
work well with following indoor thermal comfort. This fuzzy controller
based-on fuzzy relation matrix is particularly suitable to
non-decomposable multi-output nonlinear systems.
MonAIS-27
Design and implementation of the electric gripper control system
based on the DSP
Zhanglei Chen
Zhejiang Univ. of Tech.
Jianming Xu
Zhejiang Univ. of Tech.
Li Yu
Zhejiang Univ. of Tech.
Yuansheng Xiong
Jiaxing Univ.
Haitao Zhu
Zhejiang Univ. of Tech.
A kind of electric gripper control system is introduced in this paper. The
control system is based on three closed loops structure without a
pressure sensor. The DSP and brushless DC motor are used as its
control core and power component. The traditional PID control algorithm
is used to design the current controller, speed controller and
position/force controller. A current comparison method is considered to
solve the problem of switching between the position and force work
status. The PC control software of the electric gripper is developed with
Labview. The experimental results show the effectiveness of the electric
gripper control system.
MonAIS-28
Neural Networks Adaptive Control of Aircraft Engine Based on
Genetic Algorithm
Hongmei Zhang
Shenyang Aerospace Univ.
Ziyun Dong
Shenyang Aerospace Univ.
Guangyan Xu
Shenyang Aerospace Univ.
In this paper, a method of neural network adaptive control was proposed
based on genetic algorithm (GA). At first, genetic algorithm is applied to
determine initial weights of neural networks (NNs), and then NNs
identifier is applied to real-time identify the model of engine. Moreover,
the sensitivity information of the system is fed back to the NNs controller,
which ensures the accuracy of the controller for the controlled object. For
an aircraft turbojet engine, the control system is designed on the selected
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2014CCDC
design point. The simulation results show that the control system not only
has good quickness and less overshoot but also has strong
anti-interference ability.
MonAIS-29
Supervisory Predictive Control of Weighted Least Square Support
Vector Machine Based on Cauchy Distribution
Suzhen Li
North China Electric Power Univ.
Xiangjie Liu
North China Electric Power Univ.
Gang Yuan
ZhongXing Hydraulic Parts Co.Ltd
Least square support vector machine is a kind of thought to solve
structural risk minimization method, weighted least squares support
vector machine is introduced to solve the exist robustness, sparsity and
large-scale computational problems, since the weighted method easily
leads to shortcomings of over-fitting, according to the Cauchy distribution
characteristics, weighted least squares support vector machines based
on Cauchy distribution , and according to the identification function of
least square support vector machine, which are used in supervisory
predictive control algorithm. Simulation results show that weighted least
square support vector machine based on Cauchy distribution learns fast,
has good nonlinear modeling and generalization ability, and the
supervisory predictive control algorithm of weighted least square support
vector machine based on Cauchy distribution has better control
performance.
MonAIS-30
DSP Based Digital Control System Implementation of Permanent
Magnet Synchronous Motor
Long Li
Guidaojiaotong Polytechnic Institute
The permanent magnet synchronous motor (PMSM) with high efficiency,
high power factor, high control accuracy, high torque inertia, larger speed
range and good torque smoothness, and a series of advantages, is
playing a very important role in AC servo system. Based on vector
control, a PI controller is designed to improve the control performance of
permanent magnet synchronous motor. In order to realize the designed
controller, a controller board based on TMS320F2812 DSP and a drive
board is designed, the software is developed in C langrage on CCS_3.3
and the experimental results are debugged on the hardware platforms
with software systems. The experimental results shows that the
steady-state accuracy of the controller designed is higher and the
overshoot is very small, which demonstrate the effectiveness of the
controller designed in this paper and lay a software and hardware
foundation for further study.
MonAIS-31
Research on Effect Airwake Acts on Glide Performance of
Carrier-based Aircraft
Yongtao Yu
Shenyang Aerospace Univ.
Zhi Zhang
Harbin Engineering Univ.
The kinematic model of carrier-based aircraft was established. The
airwake model described in USA military standard was introduced and
analyzed. A landing simulation system was build based on the kinematic
model of aircraft and airwake model. Numerical simulation was carried
out to research the effect that airwake acted on the flight performance of
carrier-base aircraft. Simulation results show that the gliding track of
aircraft affected by airwake is lower than reference gliding track, which
reduces the landing safety. The random component and free-air
turbulence component of airwake own the dominate part of effect, the
steady component makes contribution too, the periodic component acts
little effect on aircraft. Airwake affects flight performance of aircraft by
putting effect on the aerodynamic force of aircraft but not aero dynamical
moment.
MonAIS-32
Experimental Research on Microvibrations of Magnetically
Suspended MomentumWheel
Cong Peng
Key Lab.of Fundamental Scie.for National
Defense Beihang Univ.
Jiancheng Fang
Key Lab.of Fundamental Scie.for National
Defense Beihang Univ.
Hu Liu
Key Lab.of Fundamental Scie.for Nationa
Defense Beihang Univ.
Yahong Fan
Beijing Institute of Control Engineering
Meng Meng
Beijing Institute of Control Engineering
Jiyang Zhang
Beijing Institute of Control Engineering
Microvibrations produced by high speed momentum wheels can highly
degrade the performance of precision instruments in satellites. To
suppress such microvibrations, one of the promising methods is to utilize
the magnetically suspended momentum wheel (MSMW) due to the
convenient and effective control strategy. However, little research is
dedicated to the microvibrations caused by MSMW. This paper focuses
on the experimental testing and analysis for the microvibrations of a
MSMW. The experimental results show that there are significant
synchronous harmonic due to the rotor mass imbalance, and the
super-harmonics caused by senor runout. Moreover, the significant
dynamical amplification can be observed when the super harmonics
intersect with the structural modes. These experimental results are
Book of Abstracts
important and valuable for not only the further active vibration
suppression but also the newly designed types of MSMW.
2014CCDC
the key links between logistics center and the cost control,and the model
proposed can guide coal enterprises’ logistics cost control.
MonAIS-33
Design and Implementation of the Remote Control of ICCP Systems
Xiaohua Wang
Shanghai Univ.
Meijiao Hu
Shanghai Univ.
Yao Huang
Shanghai Univ.
Jun Gu
Shanghai Univ.
Shouwei Gao
Shanghai Univ.
Zhonghua Miao
Shanghai Univ.
Impressed current cathodic protection (ICCP) technology is a common
method for protecting ships and bridges from corrosion. A color touch
screen is connected to ARM LPC2138 on the ICCP master control panel
through serial ports. Communications between ICCP systems and the
arm processor of remote terminals are realized using Modbus protocol.
The touch screen is utilized for real-time online monitoring and a real-time
database is built using RS485 communication interface for users
convenience. In receiving the response frames, predictions are strictly
checked with the frames received to avoid any fault. The result shows the
efficiency of the system.
MonAIS-38
Comparison of Two Alternative Policies to Reduce No-show in
Appointment System
Chongjun Yan
Northeastern Univ.
Jiafu Tang
Northeastern Univ.
It’s common practice for patients to make an appointment in advance
before seeing the doctor. This paper compares two alternative policies to
reduce no-show for single server appointment system with exponentially
distributed service time, the overbooking policy and open access policy.
A specified number of patients call for an appointment before the
scheduled day, but may cancel the booking or don’t show up under the
overbooking policy. Two types of open-access policies are taken into
consideration: same-day and same-or-next-day, in which a random
number of patients call for the appointment for the same day or the next
day. System performances are compared when the expected workloads
are the same for both policies. The numerical results indicate the
superiority of open-access polices are not so explicit as the results under
deterministic assumption. Same-day AS system has a threshold in terms
of total operational costs, after which it outperforms the overbooking
system; same-or-next-day system is always preferable except when
no-show probability or the weight of the patients is low.
MonAIS-34
Decoupled PID controller for wind tunnel system
Tingfeng Zhang
Northeastern Univ.
Liaoning Univ.of Tech.
Zhizhong Mao
Northeastern Univ.
Ping Yuan
Northeastern Univ.
Implementation of a decoupled PID control strategy to a wind tunnel
control system is described in this paper. Two coupled variables,
stagnation pressure and Mach number, are controlled in the wind tunnel
system. The wind tunnel exhibits common features of industrial systems
including non-linear dynamics, time delay and coupling effects among
variables. A decoupler is first introduced in this control scheme. Next, a
reduced order model is determined for the decoupled wind tunnel
process. Then, the PID controller is obtained using the non-dimensional
tuning (NDT) algorithm. Simulation experiments have confirmed good
regulatory and tracking properties of the proposed control system.
MonAIS-35
The Research on the Supply-chain Management Based on
E-Business Platform
Wei Liu
Hebei Univ.
Zi Wang
Minzu Univ.of China
Supply-chain Management has become an important way to improve
market adaptability and competitiveness of modern company. Under the
support of E-Business technology, from the whole process of material
purchasing to product sales finishing, the whole supply chain can achieve
integration network information-transmission and information-processing,
and effectively improve the enterprise's production and management
efficiency. This essay regards the supply chain management under the
support of E-Business technology as researching target. It analysis the
characteristics and support technology of Supply-chain Management
based on E-Business platform, and in order to enrich the content of the
theoretical research on supply-chain system, it design a structure to the
supply-chain system.
MonAIS-36
Coordination and incentives in a supply chain with manufacturer
quality effort
Wei Xiong
Zhejiang Univ.
In recent years, how to improve the quality of products draws the
attention of supply chain members because of the growing competition,
but improving the quality means that manufacturers should invest more,
so how to coordinate this two has become the focus of scholars’ study.
The paper investigates the issue of motivating manufacturers to make the
optimal quality effort in the two-stage supply chain with one retailer and
one manufacturer when the retailer is the Stackelberg leader. We identify
that when the market demand is influenced by quality effort and supply
chain members make decisions respectively, thesimple revenue sharing
contract can’t coordinate the supply chain well, while the improved
two-way revenue-cost sharing contract can effectively coordinate the
supply chain and motivate the manufacturer take the optimal quality effort
level to give the two the highest benefit.
MonAIS-37
Research on Logistics Cost Control of Coal Enterprises
Yi Zhang
Yibin Univ.
Sichuan Univ.
Mengxiang Zhang
Sichuan Univ.
This paper analyze the characteristics,composition of coal enterprises’
logistics center in detail.The key factors that affect the logistics cost
control are found from internal and external aspects.Causal relationship
of logistics cost system is established in logistics center.Then,structure
model of enterprises’ logistics cost system are built with different impact
factors.The model indicated that the complex relationship among factors
of enterprises’ logistics operational cost system could be better revealed
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MonAIS-39
An Inventory Control Model for Perishable Items with Stochastic
Replenishment Interval and Stock-dependent Selling Rate
Guangfan Xu
Hefei Univ.of Tech.
Key Lab.of Process Optimization and Intelligent
Decision-making
Xiaojia Wang
Hefei Univ.of Tech.
Key Lab.of Process Optimization and Intelligent
Decision-making
Yanyan Wu
Hefei Univ.of Tech.
Shanlin Yang
Hefei Univ.of Tech.
Key Lab.of Process Optimization and Intelligent
Decision-making
Periodic replenishment inventory models are widely used in practice,
especially for inventory systems in which many different goods are
purchased from the same supplier. However, most of periodic
replenishment inventory models have assumed a fixed length of the
replenishment periods. In practice, it is possible that the replenishment
periods are of a stochastic length. This paper presents an inventory
control model for deteriorating items in the case of random replenishment
intervals and stock-dependent selling rate. The replenishment interval is
assumed to obey from two different distributions, namely, exponential
and uniform distributions. Also, shortages are allowed in the term of
partial backordering. For this model, we provide the necessary and
sufficient conditions of the existence and uniqueness of the optimal
solutions and a procedure is also developed to determine the optimal
solution for the proposed models. At last, numerical example is shown to
illuminate the presented model.
MonAIS-40
Green Supply Chain Management: A State of the Art Review
Wenxing Wang
Zhejiang Univ.
Green supply chain management (GSCM) has become a topic of interest
for both business leaders and academic researchers alike. Over the last
decade or so, the GSCM literature has grown considerably. Although
sufficient literature exists about various aspects and facets of GSCM,
earlier works and reviews have a limited focus and narrow perspective.
This paper presents a comprehensive integrated view of the published
literature of GSCM so as to facilitate further study, practice and research.
First, we introduce the different definitions of GSCM and its’
development. Second, we focus on reviewing the research on GSCM’s
decisions and models. Finally, we discuss the limitations of existing
research on GSCM and indicate future research opportunities.
MonAIS-41
Research on Wartime Aircraft Carrier SoS POL Support Strategy
Based on System Dynamics
Tianjian Wen
Beijing Univ.of Aeronautics & Astronautics
Xin Pan
Beijing Univ.of Aeronautics & Astronautics
Yong Wu
Beijing Univ.of Aeronautics & Astronautics
The continuous process of ILS (Integrated Logistic Support) tasks is
attributed to the stable state of ILS process system composed of ILS
activities. In terms of individual activity, the variation of the entire process
state was random, but from an overall perspective, it followed certain
statistical regularity. According to the above characteristics of ILS
process, the author was able to discover the key activities in the ILS
process, and then to describe the key activities by virtue of system
dynamics after the refinement of the key activities. After modeling the ILS
process through Vensim software to set the initial value and simulation,
we could observe the changes of the parameters involved in ILS
activities. Through these efforts, it became possible to predict the
abnormal activities. Then the author further found the key parameters
Book of Abstracts
which to a large extend affect the ILS process to ensure that ILS process
would be carried out smoothly. This paper tried to verity this method by
analyzing wartime aircraft carrier system of systems (SoS) POL support.
The ILS tasks practice demonstrated that system dynamics method,
specific to the predictions about complex ILS activities anomalies, could
timely and effectively improve the reliability and accuracy of ILS support
strategy.
MonAIS-42
Collaborative Information Management in Agricultural Products
Supply Chain in China: A Case Study of Wumart
Wenxing Wang
Zhejiang Univ.
The uncertainty of information flows in the supply chain management
reflects operational efficiency of the supply chain, and the supply chain
structure would affect the operation of the supply chain information.
Collaborative information management is the key to improve the creativity
and competitiveness of the whole supply chain. In this paper, we first
summarize four typical modes of agricultural product supply chain in
China based on the current situation and future trends: Agricultural
products wholesale market oriented mode, agricultural products
processing enterprises oriented mode, large-scale retail enterprises
oriented mode, agricultural products logistics oriented mode. Secondly,
through exploratory analysis with the agricultural product supply chain
practices of “agriculture super docking” in Wumart, we propose a
collaborative information management strategy in agricultural products
supply chain in china. Finally, a brief discussion and summary was given.
MonAIS-43
Research on UWB-based Location Technology Applied for
Hazardous Chemicals Stacking Storage
Xin Lv
Beijing Univ.of Chemical Tech.
Xuejun Liu
Beijing Institue of Petrochemical Tech.
Bo Dai
Beijing Institue of Petrochemical Tech.
Currently, the storaging tehchnology modernization of hazardous
chemicals warhouse is low.There is no effective supervision of 5 distance
of the stacking to maintain the safety standard. The research on timely
monitoring and early alarming of dangerous chemicals stacking is
necessary. In this paper, the indoor Ubisense location system is
established to study the static and dynamic locaiton properties. The
experiments show the UWB positioning technology is truly effective and
reliable.In addition, it is really suitable for the stacking safety monitoring
of dangerous chemicals storage.
MonAIS-44
MBPLS-Based Rail Vehicle Suspension System Fault Detection
Xiukun Wei
Beijing Jiaotong Univ.
Ying Guo
Beijing Jiaotong Univ.
Limin Jia
Beijing Jiaotong Univ.
The suspension system plays a crucial role of rail vehicles. The fault
detection of the suspension system is an effective way to ensure the
security, stable operation of rail vehicles. This paper concerns the fault
detection issue of rail vehicle suspension systems with the extended form
of Partial Least Squares (PLS), which is Multi-block Partial Least Squares
(MBPLS). The signal information used in the fault detection is obtained
from the SIMPACK and MATLAB co-simulation environment. In this
paper, the typical primary spring and damper faults and secondary spring
and damper faults are detected successfully using MBPLS. MBPLS is
applied to the block data, and the statistical index SPE and T^2 are used
to monitor the performance of the suspension system. Compared with
DPCA, the effectiveness of the proposed approach is demonstrated by
the simulation results for several fault scenarios of primary and
secondary faults.
MonAIS-45
Data-Driven Thermal Efficiency Modeling and Optimization for
Co-firing Boiler
Jianguo Wang
Shanghai Univ.
Juanjuan Wang
Shanghai Univ.
Qianping Xiao
Shanghai Univ.
Shiwei Ma
Shanghai Univ.
Wentao Rao
Baosteel Reasearch Institute
Yong-Jie Zhang
Baosteel Reasearch Institute
The changes of flow rate and heating value of blast furnace gas (BFG)
make the boiler operation more like art than science. In this paper,
statistics analysis methods are utilized to justify the significance of the
derived variables for the thermal efficiency modeling. By employing
nonnegative garrote (NNG) variable selection and auto-regression
integrated moving average (ARIMA) correction, an adaptive scheme for
thermal efficiency modeling and adjustment is proposed and virtually
implemented for a BFG/coal co-firing boiler. The detail analysis shows
that there is large room for energy conservation when the boiler operation
shifts from the present practice to the model-based control.
MonAIS-46
Soft Sensor Approach for Optimal Operation of Cooling Tower for
Energy Conservation
Jianguo Wang
Shanghai Univ.
153
2014CCDC
Qianping Xiao
Shanghai Univ.
Juanjuan Wang
Shanghai Univ.
Shiwei Ma
Shanghai Univ.
Wentao Rao
Baosteel Reasearch Institute
Yongjie Zhang
Baosteel Reasearch Institute
This paper presents a data-driven adaptive soft sensor approach to
investigate the performance and optimal operation of cooling tower for
energy conservation. To achieve this aim, first, the cooling tower process
is characterized by an adaptive soft sensor with nonnegative garrote
(NNG) variable selection procedure. Then, based on the statistics result
of NNG variable selection, the effect of environment temperature and
humidity on the cooling capacity was investigated by principal component
analysis (PCA). At last, the optimal strategy of fan operation mode was
presented and the implementation of the optimal strategy was
investigated for a cooling tower, which showed that there was large room
for energy conservation.
MonAIS-47
The Adaptive Dynamic Programming Based on the Data-A Total
Least Squares Approach
Bo Zhang
Univ.of Scie.and Tech.Liaoning
Daqing Zhang
Univ.of Scie.and Tech.Liaoning
Yifa Yu
Univ.of Scie.and Tech.Liaoning
Ganggang Zhang
Univ.of Scie.and Tech.Liaoning
Focusing on the problem of the input and output data both contain
measurement noise in linear time invariant system, this paper proposes
that utilizing Tikhonov regularization of total least squares to solve the
ill-poseness in process of adaptive dynamic programming. By applying
the presented algorithm, the designed controller is obtained through the
input and output data of the system, i.e. the method of controller
designing has data-driven property. Traditional approaches only in
allusion to the error in output data, if considering the ill-conditioned
problem of the input and output data both contain noise disturbance, the
algorithm of this paper can solve it and has robustness. Illustrative
example indicates that the presented algorithm can give a good controller
for a system, even when the measured outputs are polluted by noise.
Compared with existing results, the presented algorithm has more
effectiveness.
MonAIS-48
An Optimal Sparseness Approach for Least Square Support Vector
Machine
Jia Luo
Guangdong Power Grid Corporation
Shihe Chen
Guangdong Power Grid Corporation
Le Wu
Guangdong Power Grid Corporation
Shirong Zhang
Wuhan Univ.
Least square support vector machine (LSSVM) is a well accepted
process modeling technique. However, it has an instinct shortcoming as
that the solution is lack of spareness. In this paper, a particle swarm
optimization (PSO) based optimal spareness approach for LSSVM is
proposed and validated. The spareness of LSSVM is firstly formulated as
an optimization problem, where pruning percentage of the training data
set is taken as the optimization variable. And then, PSO is employed to
solve the spareness problem. A LSSVM model for carbon content in fly
ash of utility boiler is used for algorithm validation. Long term operation
data of a 600MW boiler is collected for comparison studies. The
presented results convince that the PSO based optimal spareness
approach exceeds the classical method, and is capable of converging to
an optimal support vector set.
MonB01
Room11A
Complex networks and systems (II)
10:20-12:20
Chair: Guoping Jiang
Nanjing University of Posts and Teleco
mmunications
CO-Chair: Lili Zhang
Guangdong University of Tech.
10:20-10:40
MonB01-1
Path Selection Algorithm Based on AHP for Small-World with
Three-Weight
Binbin Zhou
Liaoning University of Science and Tech.
Xuebo Chen
Liaoning University of Science and Tech.
In order to let information path selection in small world theory solidify, a
path selection algorithm based on AHP(Analytic Hierarchy Process) for
small world with three-weight is proposed in this paper. First, the small
world model with three-weight which contain distance, connections and
density between vertexes is established. Then we use AHP to set up a
three-level hierarchy and use it to analyze synthetic weight of vertexes to
make a path selection. Last, we test and verify the algorithm. Simulation
results show that proposed algorithm can quickly and easily select an
information path.
10:40-11:00
MonB01-2
Synchronization for Nonlinearly Coupled Complex Dynamical
Networks with Different Dimensional Nodes
Lili Zhang
Guangdong University of Tech.
Yinhe Wang
Guangdong University of Tech.
Qinruo Wang
Guangdong University of Tech.
Book of Abstracts
This paper investigates the asymptotic synchronization for the directed
and undirected dynamical networks with different dimensional nodes and
nonlinearly coupled functions. Besides, the nodes in the network model
discussed here are dissipatively coupled and similar and their coupling
coefficients between different nodes permit negative. For this kind of
network model, the synchronization manifold is defined as an invariant
manifold, which is regarded as the generalized case of the network with
the same nodes. Furthermore, decentralized dynamical compensation
controllers are synthesized to synchronize such network asymptotically
based on Lyapunov stability theorem and Babalat′s lemma. Finally,
numerical examples are presented to verify the effectiveness of our
theoretical results.
11:00-11:20
MonB01-3
State Estimation for Nonlinear Coupled Complex Dynamical
Networks with Time Delay
Yingyou Sun
Nanjing University of Posts and Telecommunications
Guoping
Nanjing University of Posts and Telecommunications
Jiang
The state estimation of nonlinear coupled complex dynamical networks
with time delay coupling is studied in this paper. The state estimation
controllers are designed by using proportional control approach. A
sufficient condition for state estimation is derived by using Lyapunov
stability theory. Finally, we take the scale-free network as the network
topology and the Lorenz chaotic system as the node dynamics, to do
some simulations. The simulation results verify the effectiveness of the
proposed method.
11:20-11:40
MonB01-4
Research on the Emergence Mechanism of Last Planner System of
Lean Construction
Zhu
Library of Shandong Youth University of Political Scie.
Kongguo
The Last Planner System is a very important and systematic method that
influences the achievement of lean construction. With the theory of
emergence science, this paper analyzed the emergence mechanism of
the last planner system from the perspective of group decision-making,
information change and self-organization; then, how to realize the
potencies of the last planner system so as to attain much emergence was
discussed.
11:40-12:00
MonB01-5
From View of Complex Network: Fractal Dimension of Music
Notation
Ningkui Wang
Key Laboratory of Biologic Resources Protecti
on and Utilization of Hubei Province
Hubei University for Nationalities
Daijun Wei
Key Laboratory of Biologic Resources Protecti
on and Utilization of Hubei Province
Hubei University for Nationalities
Southwest Univ.
Recently, complex system has been considered by complex networks.
The fractal and self-similarity properties are revealed in many real
complex networks. The visibility graph which can convert a time series
into a graph. In this paper, music notation is considered as a time series.
And then, the fractal and self-similarity properties of music are revealed
using box-covering algorithm of complex networks. The proposed method
is applied to calculate the fractal dimensions of some real music. Our
results show that the proposed method is efficient to study the fractal and
Self-similarity properties of music.
12:00-12:20
MonB01-6
Revisiting singular Boolean networks
Min Meng
Shandong Univ.
June Feng
Shandong Univ.
The general singular Boolean networks (SBNs) are proposed in this
paper according to the algebraic form of dynamic-algebraic Boolean
networks. First, the solvability theorems of this kind SBNs are presented.
Then, the transition matrix of an SBN is defined, based on which the
results on fixed points and cycles of SBNs are obtained. Furthermore,
general singular Boolean control networks (SBCNs) are discussed, as
well as the solvability of SBCNs. Several examples illustrate the feasibility
of the theoretical results.
MonB02
Co-operative control
Chair: Jianxiang Xi
CO-Chair: Zhiyong Geng
Room6A
10:20-12:20
High-Tech Institute of Xi’an
Peking Univ.
10:20-10:40
MonB02-1
Finite Time Optimal Formation Control for Multiple Vehicles
Zhiyong Geng
Peking Univ.
The paper studies the problem of finite time formation control for multiple
vehicles. The vehicle is modeled as the full actuated rigid body, both the
formation time and the geometric structure of the formation are specified
by the task. An open optimal control law is derived by using Pontryagins
minimum principle, and is converted to the closed form by feeding the
154
2014CCDC
current state back under the assumption that the mode of communication
between the vehicles is all-to-all. For the demonstration of the result, a
numerical example of formation for planar vehicles is included.
10:40-11:00
MonB02-2
Coverage and Control of Diffusion Process based on Centroidal
Voronoi Tessellations
KeCai Cao
Nanjing Univ. of Posts and Telecommunications
Nanjing Univ, of Aeronautics and Astronautics
MengJiao Lv
Nanjing Univ. of Posts and Telecommunications
Xiang Gao
Nanjing Univ. of Posts and Telecommunications
PingWei Fan
Nanjing Univ. of Posts and Telecommunications
Coverage and control problems of diffusion process using multiple mobile
sensors and actuators have been considered in this paper. Algorithms for
task allocation and obstacle avoidance have been considered for the
mobile robots in this paper. The powerful tool of Centroidal Voronoi
Tessellations (CVT) has been introduced in the partition of the workspace
so that the robots can detect and detoxify the concentration of considered
substance effectively. Simulation results using Diff-MAS2D have been
employed to show the effectiveness of the proposed methods.
11:00-11:20
MonB02-3
Formation Tracking Control for Multi-agent Systems with Nonlinear
Dynamics via Impulsive Control
Meng Liu
Huazhong Univ. of Scie. and Tech.
Yanwu Wang
Huazhong Univ. of Scie. and Tech.
Jiangwen Xiao
Huazhong Univ. of Scie. and Tech.
Xiaokang Liu
Huazhong Univ. of Scie. and Tech.
In this paper, the formation tracking problem of multi-agent system via
impulsive control approach is investigated, where each agent can be
modeled as an identical nonlinear oscillator. The impulsive control
approach is firstly applied to the study of formation tracking problem in
the multi-agent system. The objective of the formation tracking problem is
to design the formation tracking protocol such that one agent follows the
trajectory of a dynamic leader while also keeps the desired formation
pattern with other agents simultaneously. By using properties of the
Laplacian matrix and combining the stability theory of impulsive systems
and the concept of “average impulsive interval”, sufficient conditions are
given to guarantee the formation tracking of the multi-agent system. A
numerical example is given to illustrate the effectiveness of our
theoretical results.
11:20-11:40
MonB02-4
Observer-based Finite-time Tracking Control for Formations of
Mobile Robots
Tairen Sun
Jiangsu Univ.
Xin Yu
Jiangsu Univ.
Guohai Liu
Jiangsu Univ.
This paper considers the finite-time control design for the nonholonomic
mobile robots to construct leader-following formation. In the formation,
only the pose of the leader robot can be obtained by the follower. Firstly,
the leader-following formation is transformed into a special trajectory
tracking problem and a finite-time observer is designed to estimate the
leader’s dynamics. Then, neural network-based finite-time control laws
are designed for the following robot to track the leader robot in the
desired separation and bearing in finite time. Lyapunov-based theory
analysis and simulation results are presented to illustrate the efficiency of
the designed finite-time observer and the formation control law.
11:40-12:00
MonB02-5
Consensus-based Formation Control with Dynamic Role
Assignment
Zhongqi Sun
Beijing Institute of Tech.
Yuanqing Xia
Beijing Institute of Tech.
In this paper, dynamic role assignment and collision avoidance based on
consensus tracking algorithm are investigated for systems with complete
communication graph. First, based on the traditional consensus protocol,
consensus-based control algorithm with dynamic role assignment is
proposed. To make each agent reach the closest formation point, we give
an efficient assignment solution by solving an optimal problem with
Hungarain algorithm. Second, by constructing collision avoidance
potential functions, modified consensus algorithms containing
corresponding gradient terms are presented for multi-agents systems,
which guarantee collision avoidance. Simulation results show the
effectiveness of the proposed algorithms.
12:00-12:20
MonB02-6
Second-order Consensus of Discrete-time Multi-agent Systems via
One-step Delayed data
Guanghui Xu
Huazhong Univ. of Scie. and Tech.
Jishi Zhang
Huazhong Univ. of Scie. and Tech.
Henan Univ.
Ruiquan Liao
Yangtze Univ.
Dingxue Zhang
Yangtze Univ.
Zhihong Guan
Huazhong Univ. of Scie. and Tech.
This paper considers the second-order consensus problem of
discrete-time multi-agent systems over fixed and undirected network
Book of Abstracts
topologies. A distributed consensus protocol utilizing the current and
one-step delayed position information is proposed. It is interesting to
found that second-order consensus in such a discrete-time multi-agent
system cannot be ensured without any one-step delayed position data
while it can be reached by appropriately choosing the sampling interval
and the coupling strength with one-step delayed position data. A
necessary and sufficient condition for reaching second-order consensus
in a discrete-time multi-agent dynamical system on the sampling interval,
the control gain parameters and the eigenvalues of the Laplacian matrix
has been established under fixed and undirected topology. Finally,
numerical examples are given to illustrate the theoretical analysis.
MonB03
Intelligent systems(II)
Chair: Zhifu Li
CO-Chair: Hexu Sun
Room7A
10:20-12:20
South China Univ. of Tech.
Hebei Univ. of Tech.
10:20-10:40
MonB03-1
Monotonically convergent feedback-forward iterative learning
control for linear discrete-time systems
Zhifu Li
South China Univ. of Tech.
Yueming Hu
South China Univ. of Tech.
For a class of linear discrete-time systems, a feedback feed-forward
iterative learning control (ILC) scheme is proposed, which can guarantee
the system is monotonically convergent along the iteration direction and
is Bounded-Input Bounded-Output (BIBO) stable along the time direction.
First, the feedback feed-forward iterative learning system is presented by
a two-dimensional (2-D) Roesser model system. Then, the monotonic
convergence problem along the iteration direction is converted to a H1
disturbance attenuation problem of a one-dimensional system. Third, the
sufficient condition of monotonic convergence along the iteration direction
is given by LMIs which can also guarantee the system is BIBO stable
along the time direction. Furthermore, the LMI condition can determine
the gain matrix of the feedback feed-forward iterative learning controller.
Finally, the simulation results are presented to demonstrate the
effectiveness of the proposed scheme.
10:40-11:00
MonB03-2
Improved Differential Evolution Algorithm and its Application in
Complex Function Optimization
XiaoGang Dong
Jiujiang Univ.
Yan Liu
Jiujiang Univ.
ChangShou Deng
Jiujiang Univ.
When solving complex function optimization problem, Differential
evolution(DE) algorithms may suffer from low convergence rate. In this
paper, we propose an improved differential evolution algorithm named
n-IDE. Our algorithm uses Gaussian sequence to dynamically generate
zoom factors and applies an improved hybrid mutation strategy to
individuals in order to improve the overall performance. We compare
n-IDE with existing DE approaches using benchmark functions and the
experimental result shows that n-IDE has significant improvement on the
convergence rate.
11:00-11:20
MonB03-3
Predictive Image Based Visual Servoing of Manipulators with
Multiple Constraints
weipeng Liu
Hebei Univ. of Tech.
Haiyong Chen
Hebei Univ. of Tech.
Hexu Sun
Hebei Univ. of Tech.
Guansheng Xing
Hebei Univ. of Tech.
a novel image based visual servoing (IBVS) method under the predictive
control frame is proposed in order to solve the visual tracking problem of
robot manipulator with multiple constraints. A vision predictive frame is
presented by employing the motion model between camera’s velocity and
image features. And the design step of vision predictive controller is
presented. Then, an effective vision predictive control method with a
suitable predictive time horizon is obtained. In simulation, the role of
predictive time horizon is analyzed and evaluated, and several simulation
results are gained by using the proposed method. Finally, the interesting
and satisfactory results are illustrated.
11:20-11:40
MonB03-4
A Novel Method For Face Recognition
Sonhao Zhu
Nanjing Univ. of Post and Telecommunications;
Yangzhou Suan IOT Sensor Tech.
Xuewei Hu
Nanjing Univ. of Post and Telecommunications
Wei Sun
Nanjing Univ. of Post and Telecommunications
Ronglin Hu
Yangzhou Suan IOT Sensor Tech.;
Huaiyin Inst. of Tech.
Clustering is such an algorithm which merges the most similar pair of
samples into the same classification at every iteration. The traditional
similarity evaluation function is manually designed, but the recent interest
focuses on supervised or semi-supervised learning where the
ground-truth clustered data can be available for training. This paper will
first describes how to train a similarity function by regarding it as the
action-value function in reinforcement learning. Then, the agglomerative
clustering algorithm with superpixel is applied to segment a challenging
dataset of brain images. The experimental results demonstrate the
155
2014CCDC
proposed method remarkably improved the segmentation accuracy.
11:40-12:00
MonB03-5
Video Abstraction via Learning the Progress of Story
Sonhao Zhu
Nanjing Univ. of Post and Telecommunications;
Yangzhou Suan IOT Sensor Tech. Co., Ltd.
Jiawei Liu
Nanjing Univ. of Post and Telecommunications
Ronglin Hu
Yangzhou Suan IOT Sensor Tech. Co., Ltd.;
Huaiyin Inst. of Tech.
In this paper, we incorporate script into movie content analysis and
present a novel movie abstraction approach via the progress of storyline,
which is validated by film production theory that film actually catches
audiences’ attention is the storyline. We first segment scenes by analysis
and alignment of script and movie. Then we conduct storyline analysis
based on the content attention analysis and audio-visual features. Given
obtained transition intensity values, we calculate storyline progress score
and adopt this as criterion to generate movie abstraction. The promising
experimental results demonstrate that storyline analysis is effective for
movie abstraction and movie content understanding.
12:00-12:20
MonB03-6
A novel approach for improving image annotation quality
Sonhao Zhu
Nanjing Univ. of Post and Telecommunications;
Yangzhou Suan IOT Sensor Tech. Co., Ltd.
Jiawei Liu
Nanjing Univ. of Post and Telecommunications
Ronglin Hu
Yangzhou Suan IOT Sensor Tech. Co., Ltd.;
Huaiyin Inst. of Tech.
The overwhelming proliferation of digital images on media sharing webs
have triggered the requirement of effective tools to retrieve images of
interest using semantic concepts. Due to the semantic gap between
low-level visual features and high-level semantic concepts of an image,
however, the performances of many existing automatic image annotation
algorithms are not so satisfactory. In this paper, a novel image
classification scheme, named high order statistics based maximum a
posterior. This method first utilizes high order statistics to measure the
triplet-dissimilarity to better describe the relevance among images, then
utilizes a maximum of a posterior algorithm with the information of
Gaussian Mixture Model and dissimilarity increments distribution to
estimate the relevance scores of each tag. Experimental results on a
general-purpose image database demonstrate the effectiveness and
efficiency of the proposed scheme.
MonB04
Distributed parameter systems
Chair: Lu Lu
CO-Chair: Leping Bao
Room7B
10:20-12:20
Beijing Institute of Tech.
Southeast Univ.
10:20-10:40
MonB04-1
An Architecture Model of Cloud Manufacturing Based on
Multi-Agent Technology
Han Zhang
Shenyang Inst. of Computing Tech., Chinese Acad.
of Scie.
Ruifeng Guo
Shenyang Inst. of Computing Tech., Chinese Acad.
of Scie.;
National Engineering Research Center For High-End
CNC
Cong Geng
National Engineering Research Center For High-End
CNC
The concept of cloud manufacture has been purposed to solve the
problem of manufacture waste. Characteristics and operating mechanism
of CMfg is analyzed in this paper. Fuzziness and distributive of the
Multi-agent system can meet the requirements of building CMfg platform.
On the basis of the theory mentioned above, this paper proposed an
architecture of CMfg based on multi-agent technology. At last, the
communication between the agents in the system was researched and
designed. The introduction of multi-agent technology not only provides a
feasible method of building CMfg platform system, but also helps to
lucubrate the architecture of CMfg.
10:40-11:00
MonB04-2
Asymptotical stabilization of linear distributed parameter switched
systems
Leping Bao
Key Lab. of Measurement and Control of Complex
Sys. of Engineering, Ministry of Education;
Southeast Univ.
Shumin Fei
Key Lab. of Measurement and Control of Complex
Sys. of Engineering, Ministry of Education;
Southeast Univ.
In this paper, the asymptotical stabilization problem for ordinary
differential equations switched systems has been extended to distributed
parameter switched systems (DPSS) in Hilbert space. Based on
semigroup and operator theory, sufficient conditions of asymptotical
stabilization for linear DPSS are derived in linear operator inequalities
(LOIs) framework. Being applied to three dimensional switched heat
propagation equations, we transform the LOIs into the linear matrix
inequalities (LMIs), which has the advantage of being numerically well
tractable by using matlab software. In particular, the state feedback gain
matrices are designed. Two examples are given to illustrate the proposed
Book of Abstracts
results.
11:00-11:20
MonB04-3
Mobile sensor networks for sampled-data control of a class of
distributed parameter systems
Xueming Qian
Jiangnan Univ.
Baotong Cui
Jiangnan Univ.
This paper develop the sampled-data control problem of a class of
distributed parameter systems. A novel sampled-data control scheme is
presented using mobile sensor networks. By utilizing a Lyapunov
functional which depend on spatial parameter, a controller combine to
decentralized static output feedback control scheme and the point
measurement of the mobile sensor is designed to derive several sufficient
criteria ensuring the distributed parameter systems to be globally
asymptotically stable. The criteria are given in the form of linear operator
inequalities and the velocity law of each mobile sensor. It is also shown
that static sampled-data control of distributed parameter systems is just a
special case of our main results. A numerical simulations illustrate the
effectiveness of the proposed control scheme in enhancing system
performance.
11:20-11:40
MonB04-4
Exponential Stability for Linearized Korteweg-de Vries-ODE system
Lu Lu
Beijing Institute of Tech.
Dong-Xia Zhao
North Univ. of China
Lin-Hong Yao
North Univ. of China
In this paper, a class of linearized Korteweg-de Vries equation is
designed to be a dynamic boundary feedback controller to stabilize a
pendulum, which is described as a second order ODE. The semigroup
approach is adopted to show that the linear operator constructed in
analyzing well-posedness and stability of the target system.For both the
state and output feedback boundary controllers, exponential stability
analysis in the sense of the corresponding norms for the resulting
closed-loop system are provided.
11:40-12:00
MonB04-5
Stabilization for boundary controlled cascaded heat-ODE system
with time-dependent coefficient
Zhongcheng Zhou
Southwest Univ.
In this paper, the stabilization of a cascaded heat-ODE system with
time-dependent coefficient is discussed by choosing suitable
backstepping transformation transferring the original heat-ODE system
into an exponentially stable object system. We prove the existence of
time-dependent kernels in forward and invertible transformation via
successive approximation method, which is the novelty of the paper, at
the same time, the exponential stability of closed-loop system is proved.
MonB05
Decision-making theory and method(IV)
Chair: Daizhan Cheng
CO-Chair: Renzi Yang
Room8A
10:20-12:20
Shandong Univ.
Southeast Univ.
10:20-10:40
MonB05-1
Convergence of Potential Networked Evolutionary Games
Yuanhua Wang
Shandong Univ.
Ting Liu
Chinese Academy of Scie.
Daizhan Cheng
Shandong Univ.
Chinese Academy of Scie.
This paper considers when a potential networked evolutionary game
(NEG) converges to a Nash equilibrium. First, based on the fundamental
evolutionary equation, the profile dynamics of an NEG is revealed. Then
we show that an NEG is potential, if the fundamental network game is.
Finally, a sufficient condition for an NEG to converge to a Nash
equilibrium is presented. An illustrative example is included to
demonstrate the theoretical and numerical results.
10:40-11:00
MonB05-2
Integer Programming Based Optimal Side Jets Ignition Combination
for Advanced Missile Attitude Control
Zhenchao Wang
Beijing Univ. of Aeronautics and Astronautics
Lingyu Yang
Bei