Researcher: Xiu You, Yanshan University. (e-mail:
[email protected])
Personal introduction: Xiu You received her
B.S. and M.S. degrees in Automation from Yanshan
University, Qinhuang-dao, China, in 2012 and 2014,
respectively. She is currently working toward the
Ph.D. degree at the Department of Electrical
Engineering, Yanshan University. Her current
research interests include nonlinear control,
multi-agent systems and networked control systems.
Supervisor: Prof. Hongnian Yu, Bournemouth
University.
Abstract:
The problem of cooperative control for multi-agent
systems has attracted intensive research attentions due
to its potential advantages over a single body,
including greater flexibility, adaptability and
performance. It has many typical applications including wireless sensor networks,
multi-manipulator collaborative assembly, robots formation, unmanned aerial vehicle's
formation, deep space exploration of spacecraft, and so on. One interesting and important
issue arising from cooperative control of multi-agent systems is to design various
distributed protocols based only on the local relative information to guide all agents or
followers to track the given time-varying dynamic trajectories or virtual leader, known as the
leader-following consensus problem. The leader-following consensus problem is addressed
for a class of high-order multi-agent systems with uncertain nonlinear dynamics. Each
follower node is modeled by lower-triangular system. By using recursive method, we develop
the consensus control design scheme. Based on Lyapunov stability theorem and matrix theory,
it is proved that the consensus of high-order uncertain nonlinear multi-agent systems is
guaranteed by non-lipschitz continuous control laws.
Keywords: Multi-agent system; leader-following consensus; Nonlinear system; Lower
triangular system
Related papers:
[1] X. You, C. Hua, D. Peng and X. Guan, “Leader-following consensus for
multi-agent systems subject to actuator saturation with switching topologies and
time-varying delays”, IET Control Theory & Applications, 2015, vol. 10, no 2, pp.
144 – 150, 2015
[2] C. Hua, X. You, X. Guan, “Adaptive leader-following consensus for second-order
time-varying nonlinear multi-agent systems”, IEEE Transactions on Cybernetics,
doi:10.1109/TCYB.2016