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http://dx.doi.org/10.5391/JKIIS.2004.14.5.593

Design of Intelligent Fuzzy Controller for Nonlinear System Using Genetic Algorithm  

Kim, Moon-Hwan (연세대학교 전기전자공학과)
Joo, Young-Hoon (군산대학교 전자정보공학)
Park, Jin-Bae (연세대학교 전기전자공학과)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.14, no.5, 2004 , pp. 593-597 More about this Journal
Abstract
This paper presents the new design method of fuzzy control system for nonlinear system. Many conventional design methods for fuzzy controller find the control gain for stabilizing fuzzy controller with some mathematical approaches. However, there exist some controllers which are hard to design with mathematical approach. In order to solve these problems, we propose the intelligent design method for fuzzy controller by using genetic algorithm with evolution strategy. The genetic algorithm with evolution strategy finds the control gain by changing the evolution region of chromosome. Finally, an application example of stabilizing a cart-pole typed inverted pendulum system will be given to show the stabilizability of the fuzzy controller.
Keywords
유전알고리즘;비선형 시스템;퍼지 제어기;지능형 제어기;
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