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Proceedings of 2009 International Workshop on Information Security and Application (IWISA 2009)

Qingdao, China, November 21-22, 2009

Editors: Feng Gao and Xijun Zhu

AP Catalog Number: AP-PROC-CS-09CN004

ISBN: 978-952-5726-06-0

Page(s): 101-103

Adaptive Control of Uncertain Chaotic Systems with Time-varying Disturbance Based on Dynamic Structure RBF Neural Networks

Jing Wang, Zhen-Yu Tan, Xi-Kui Ma, and Feng Lu

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A novel adaptive control scheme is presented for control of chaotic systems. The controller is designed based on a dynamic structure RBF neural network (RBFNN) to solve the problem of how to select proper parameters for hidden layer of RBFNN. The adaptation law of the controller and the weights of RBFNN are induced by Lyapunov function, which ensures the stability of the closed-loop system. Numerical simulation illustrates the validity of the control scheme.

Index Terms

chaotic systems, adaptive control, dynamic structure RBF neural networks

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