中国物理B ›› 2014, Vol. 23 ›› Issue (5): 50504-050504.doi: 10.1088/1674-1056/23/5/050504
宋睿卓a, 肖文栋a, 魏庆来b
Song Rui-Zhuo (宋睿卓)a, Xiao Wen-Dong (肖文栋)a, Wei Qing-Lai (魏庆来)b
摘要: We develop an online adaptive dynamic programming (ADP) based optimal control scheme for continuous-time chaotic systems. The idea is to use the ADP algorithm to obtain the optimal control input that makes the performance index function reach an optimum. The expression of the performance index function for the chaotic system is first presented. The online ADP algorithm is presented to achieve optimal control. In the ADP structure, neural networks are used to construct a critic network and an action network, which can obtain an approximate performance index function and the control input, respectively. It is proven that the critic parameter error dynamics and the closed-loop chaotic systems are uniformly ultimately bounded exponentially. Our simulation results illustrate the performance of the established optimal control method.
中图分类号: (Control of chaos, applications of chaos)