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A novel evolutionary-fuzzy control algorithm for complex systems

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4 Author(s)
Pan, Wang ; Huazhong Univ. of S&T, Wuhan 430070, P. R. China; Wuhan Univ. of Technolcgy, Wuhan 430070, P. R. China ; Chengzhi, Xu ; Shan, Feng ; Aihua, Xu

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.

Published in:

Systems Engineering and Electronics, Journal of  (Volume:13 ,  Issue: 3 )

Date of Publication:

Sept. 2002

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