混沌系统的一种自学习模糊控制

FUZZY CONTROL OF CHAOTIC SYSTEM USING GENETIC ALGORITHMS

提出一种基于遗传算法的自学习模糊控制方法控制混沌系统．用一种改进的遗传算法学习模糊控制器的隶属度函数，以改善模糊控制器的性能，使其达到良好的控制效果．用此方法控制Ｈｅｎｏｎ系统的混沌行为。

In this paper, we propose an adaptive fuzzy logic controller (FLC) for controlling chaotic systems. An improved GA is used to alter the membership functions employed by FLC in order to get good control results. It is used to control the chaotic Henon system with good results.