中国物理B ›› 2013, Vol. 22 ›› Issue (9): 90502-090502.doi: 10.1088/1674-1056/22/9/090502
宋睿卓a, 肖文栋a, 孙长银a, 魏庆来b
Song Rui-Zhuo (宋睿卓)a, Xiao Wen-Dong (肖文栋)a, Sun Chang-Yin (孙长银)a, Wei Qing-Lai (魏庆来)b
摘要: In this paper, an optimal tracking control scheme is proposed for a class of discrete-time chaotic systems using the approximation-error-based adaptive dynamic programming (ADP) algorithm. Via the system transformation, the optimal tracking problem is transformed into an optimal regulation problem, and then the novel optimal tracking control method is proposed. It is shown that for the iterative ADP algorithm with finite approximation error, the iterative performance index functions can converge to a finite neighborhood of the greatest lower bound of all performance index functions under some convergence conditions. Two examples are given to demonstrate the validity of the proposed optimal tracking control scheme for chaotic systems.
中图分类号: (Control of chaos, applications of chaos)