Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 1998.07b
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- Pages.581-584
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- 1998
Fuzzy Modelling and Control of Nonlinear Systems Using a Genetic Algorithm
유전알고리즘을 이용한 비선형시스템의 퍼지 모델링 및 제어
- Lee, Hyun-Sik (Graduate School, Korea Maritime Univ.) ;
- Jin, Gang-Gyoo (Div. of Automation & Information Eng., Korea Maritime Univ.)
- Published : 1998.07.20
Abstract
This paper presents a scheme for fuzzy modelling and control of continuous-time nonlinear systems using a genetic algorithm. A fuzzy model is characterized by fuzzy "if-then" rules whose consequence part has a linear dynamic equation as subsystem of the system. The parameters of the fuzzy model are adjusted by a genetic algorithm. Then a tracking controller which guarantees stability of the overall system is designed. The simulation result demonstrates the effectiveness of the proposed method.
Keywords