Optimal Control of Uncertain Chua’s Chaotic System with Neural Networks
Tan Wen①②; Wang Yao-nan②; Huang Chuang-xia②; Wu Xue-dong③
①School of Information and Electrical Engineering, Hunan University of Science and Technology, Xiangtan 411201, China;②College of Electrical and Information Engineering. Hunan University, Changsha 410082, China;③Electronic Information and Electrical Engineering Department, Fujian University of Technology, Fuzhou 350014, China
Abstract：On-line identification and following control of nonlinear uncertain Chua’s chaotic system using dynamic neural networks are studied in this paper. The passive technique is applied to access properties of neuro-identifier that the gradient descent algorithm for weight adjustment is stable. Then an optimal controller based on the identification model is designed to direct the Chua’s chaotic system towards desired target trajectory, and the tracking error is guaranteed to be bounded. Finally, the simulations are provided to demonstrate the effectiveness of the approach proposed.
2007, Vol. 29 
