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A Novel Evolutionary-Fuzzy Control Algorithm for Complex Systems
引用本文:王攀,徐承志,冯珊,徐爱华. A Novel Evolutionary-Fuzzy Control Algorithm for Complex Systems[J]. 系统工程与电子技术(英文版), 2002, 13(3)
作者姓名:王攀  徐承志  冯珊  徐爱华
作者单位:1. Huazhong Univ. of S&T,Wuhan 430070,P.R.China;2. Wuhan Univ. of Technology,Wuhan 430070,P.R.China
摘    要:A Novel Evolutionary-Fuzzy Control Algorithm for Complex Systems~~~~


A Novel Evolutionary-Fuzzy Control Algorithm for Complex Systems
Wang Pan ,,Xu Chengzhi ,Feng Shan , Xu Aihua. A Novel Evolutionary-Fuzzy Control Algorithm for Complex Systems[J]. Journal of Systems Engineering and Electronics, 2002, 13(3)
Authors:Wang Pan     Xu Chengzhi   Feng Shan & Xu Aihua
Affiliation:1. Huazhong Univ. of S&T, Wuhan 430070, P. R. China;Wuhan Univ. of Technology, Wuhan 430070, P.R. China
2. Wuhan Univ. of Technology, Wuhan 430070, P.R. China
3. Huazhong Univ. of S&T, Wuhan 430070, P. R. China
Abstract:This paper presents an adaptive fuzzy control scheme based on modified genetic algorithm. In the control scheme, genetic algorithm is used to optimze the nonlinear quantization functions of the controller and some key parameters of the adaptive control algorithm. Simulation results show that this control scheme has satisfactory performance in MIMO systems, chaotic systems and delay systems.
Keywords:Modified genetic algorithm   Nonlinear quantization factor   Adaptive fuzzy controller   ITAE index   Complex systems.
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