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混沌系统的RBF神经网络非线性补偿控制
引用本文:谭 文,王耀南,刘祖润,周少武.混沌系统的RBF神经网络非线性补偿控制[J].控制理论与应用,2003,20(6):951-954.
作者姓名:谭 文  王耀南  刘祖润  周少武
作者单位:1. 湖南科技大学,信息与电气工程学院,湖南,湘潭,411201;湖南大学,电气与信息工程学院,湖南,长沙,410082
2. 湖南大学,电气与信息工程学院,湖南,长沙,410082
3. 湖南科技大学,信息与电气工程学院,湖南,湘潭,411201
基金项目:国家自然科学基金项目(60075008); 湖南省自然科学基金项目(00JJY20113).
摘    要:设计RBF神经网络非线性补偿控制器,提出了混沌系统线性状态反馈的复合控制方法,将可调系统混沌行为镇定到期望目标位置或者变成周期运动.用Lorenz方程作仿真实验,结果证明了该方法的有效性.

关 键 词:混沌控制    RBF神经网络    混沌系统    非线性补偿控制
文章编号:1000-8152(2003)06-0951-04
收稿时间:2001/9/19 0:00:00
修稿时间:7/5/2002 12:00:00 AM

Controlling chaotic system by RBF neural networks nonlinear compensator
TAN Wen,WANG Yao-nan,LIU Zu-run and ZHOU Shao-wu.Controlling chaotic system by RBF neural networks nonlinear compensator[J].Control Theory & Applications,2003,20(6):951-954.
Authors:TAN Wen  WANG Yao-nan  LIU Zu-run and ZHOU Shao-wu
Affiliation:School of Information and Electrical Engineering, Hunan University of Science and Technology, Hunan Xiangtan 411201, China; College of Electrical and Information Engineering,Hunan University,Hunan Changsha 410082,China;College of Electrical and Information Engineering,Hunan University,Hunan Changsha 410083,China;School of Information and Electrical Engineering, Hunan University of Science and Technology, Hunan Xiangtan 411201, China;School of Information and Electrical Engineering, Hunan University of Science and Technology, Hunan Xiangtan 411201, China; College of Electrical and Information Engineering,Hunan University,Hunan Changsha 410085,China
Abstract:A nonlinear compensation controller with RBF neural networks was developed, a hybrid control technique for chaotic system based on linear state feedback was presented. The chaotic behavior of controlled system could be directed to the desired targets or periodic trajectory. The effectiveness of the proposed method was demonstrated through numerical simulations on the chaotic Lorenz equation.
Keywords:chaos control  radial basis function neural networks (RBFNs)  chaotic system  nonlinear compensation control
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