Identifying Chaotic System Based on Adaptable T-S Fuzzy Model and Algorithms of GA-Annealing Strategy
基于广义T-S模糊辨识模型的混沌系统模糊控制

A adaptable T-S fuzzy model which membership functions , structure and parameters optimized by the algorithms of GA-Annealing strategy is proposed to identify chaotic system . Based on this, the asymptotic stability algorithm of fuzzy control having simple and effective control laws is employed. That the system can efficiently track the objective functions which can be either period orbits or continuous variable functions is also proved, if the precision of the adaptable T-S fuzzy model is good. The simulations to control chaotic system models of Logistic system and Henon system show the effectiveness and feasibility of the proposed method.