Adaptive control of uncertain chaotic systems with time-varying disturbance based on dynamic structure RBF neural networks

摘要：

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.

关键词： chaotic systems adaptive control dynamic structure RBF neural networks

作者: WANG Jing Tan Zhen-Yu MA Xi-Kui Lu Feng

作者单位: School of Electrical Engineering, Shandong University, Jinan 250061, China School of Electrical Engineering, Xian Jiaotong University, Xian 710049, China JIYANG Power Supply Company, Jiyang 251400,China

会议类型: 国际会议

会议名称: 2009 International Workshop on Information Security and Application(2009 信息安全与应用国际研讨会)

会议地点: 青岛

会议语种:英文

页码: 101-103

在线出版日期: 2009-11-21（万方平台首次上网日期，不代表论文的发表时间）