Optimization of Stable Adaptive Fuzzy Controller Based on Genetic Algorithms
Sun¡¡Qu, Li Renhou
(Xi'an Jiaotong University, Xi'an 710049, China)

Abstract: An adaptive fuzzy controller is developed for continuous-time nonlinear systems with high order by using fuzzy dynamic model. The control law for the overall system is based on selection of the state feedback control law of the dominant local linear model through fuzzy inference . A sufficient condition for stability of the closed-loop fuzzy system is derived from the concept of connective stability in decentralized control of¡¡large-scale systems. Under this condition,an optimal fuzzy controller is designed by using genetic algorithms. The validity of the design method is proved by a simulation example.
Keywords: fuzzy dynamic model;adaptive control;stability;genetic algorithm