Slide 1 - Journal of Dynamic Systems, Measurement, and Control

Date of download: 7/31/2017
Copyright © ASME. All rights reserved.
From: Comparative Dynamic Control of SynRM Servodrive Continuously Variable Transmission System Using
Blend Amend Recurrent Gegenbauer-Functional-Expansions Neural Network Control and Altered Artificial
Bee Colony Optimization
J. Dyn. Sys., Meas., Control. 2017;139(5):051007-051007-13. doi:10.1115/1.4035349
Figure Legend:
Experimental results for the amended recurrent Gegenbauer-functional-expansions NN obtained using altered ABCO under one
time combined parameter variations and combined nonlinear extrinsic disturbances T1l=ΔT1+Tu1 case at 1500 r/min (157 rad/s): (a)
the convergence response of learning rate δ1 and (b) the convergence response of learning rate δ2