대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)

대한전기학회 (The Korean Institute of Electrical Engineers)
권호 표지

다중 퍼지 추론 모델에 의한 비선형 시스템의 최적 동정

The optimal identification of nonlinear systems by means of Multi-Fuzzy Inference model

  • 정회열 (원광대학교 전기.전자.정보공학부 제어계측 공학과) ;
  • 오성권 (원광대학교 전기.전자.정보공학부 제어계측 공학과)
  • Jeong, Hoe-Yeol (Department of Electrical, Electronic and information Engineering, Wonkwang Univ.) ;
  • Oh, Sung-Kwun (Department of Electrical, Electronic and information Engineering, Wonkwang Univ.)
  • 발행 : 2001.07.18
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초록

In this paper, we propose design a Multi-Fuzzy Inference model structure. In order to determine structure of the proposed Multi-Fuzzy Inference model, HCM clustering method is used. The parameters of membership function of the Multi-Fuzzy are identified by genetic algorithms. A aggregate performance index with a weighting factor is used to achieve a sound balance between approximation and generalization abilities of the model. We use simplified inference and linear inference as inference method of the proposed Multi-Fuzzy model and the standard least square method for estimating consequence parameters of the Multi-Fuzzy. Finally, we use some of numerical data to evaluate the proposed Multi-Fuzzy model and discuss about the usefulness.

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