A Novel Evolutionary-Fuzzy Control Algorithm for Complex Systems

A Novel Evolutionary-Fuzzy Control Algorithm for Complex Systems

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 co...

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Veröffentlicht in:Journal of systems engineering and electronics 2002, Vol.13 (3), p.52-60
1. Verfasser: Wang Pan (王攀) Xu Chengzhi (徐承志) Feng Shan (冯珊) Xu Aihua (徐爱华)
Format: Artikel
Sprache:eng
Schlagworte:
Adaptive
algorithm
Complex
controller
factor
fuzzy
genetic
index
ITAE
Modified
Nonlinear
quantization
systems
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Zusammenfassung: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.
ISSN:1004-4132