东华大学学报（英文版）2002，Vol.19Issue(3)：58-62,5.
Fuzzy Control of Chaotic System with Genetic Algorithm
Fuzzy Control of Chaotic System with Genetic Algorithm
摘要
Abstract
A novel approach to control the unpredictable behavior of chaotic systems is presented. The control algorithm is based on fuzzy logic control technique combined with genetic algorithm. The use of fuzzy logic allows for the implementation of human "rule-of-thumb" approach to decision making by employing linguistic variables. An improved Genetic Algorithm (GA) is used to learn to optimally select the fuzzy membership functions of the linguistic labels in the condition portion of each rule,and to automatically generate fuzzy control actions under each condition. Simulation results show that such an approach for the control of chaotic systems is both effective and robust.关键词
fuzzy control/chaotic system/genetic algorithm/reinforcement learningKey words
fuzzy control/chaotic system/genetic algorithm/reinforcement learning分类
信息技术与安全科学引用本文复制引用
FANG Jian-an,GUO Zhao-xia,SHAO Shi-huang..Fuzzy Control of Chaotic System with Genetic Algorithm[J].东华大学学报（英文版）,2002,19(3):58-62,5.基金项目
This paper is supported by the Youth Teacher Program Foundation of the State Education Department and the Shanghai Shuguang Program Foundation. （）
