Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
권호 표지

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

다중 퍼지 추론 모델에 의한 비선형 시스템의 최적 동정

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

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.

Keywords