Fuzzy control has been used successfully in many practical applications. In traditional methods, experience and control knowledge of human experts are needed to design fuzzy controllers. However, it takes much time and cost. In this paper, an automati...
Fuzzy control has been used successfully in many practical applications. In traditional methods, experience and control knowledge of human experts are needed to design fuzzy controllers. However, it takes much time and cost. In this paper, an automatic design method for fuzzy controllers using genetic algorithms is proposed. The proposed method includes an effective encoding scheme and new genetic operators. Those proposed genetic operators maintain the correspondence between membership functions and control rules. It can generate a new fuzzy control program. The proposed method is applied to the truck backing problem and the cart centering problem. The result of experiment has been satisfactory as compared with other design methods using genetic algorithms.