Control of a kind of chaotic system using genetic algorithm and fuzzy logic
Shihuang Shao, Jian‐an Fang, Enas Mohammed Hussein · 2002
A new control method which can effectively manipulate chaotic systems is presented. The control algorithm is based on the fuzzy logic control technique combined with a genetic algorithm (GA). The use of fuzzy logic allows for the implementation of a human's "rule-of-thumb" approach in decision making by employing linguistic variables. An improved 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.