대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)

대한전기학회 (The Korean Institute of Electrical Engineers)
권호 표지

HCM을 이용한 퍼지 모델의 On-Line 동정

On-line Identification of fuzzy model using HCM algorithm

  • 박호성 (원광대학교 전기전자공학부) ;
  • 박병준 (원광대학교 전기전자공학부) ;
  • 오성권 (원광대학교 전기전자공학부)
  • Park, Ho-Sung (Division of electrical & electronic Engineering, Wonkwang Univ.) ;
  • Park, Byoung-Jun (Division of electrical & electronic Engineering, Wonkwang Univ.) ;
  • Oh, Sung-Kwun (Division of electrical & electronic Engineering, Wonkwang Univ.)
  • 발행 : 1999.07.19
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초록

In this paper, an adaptive fuzzy inference and HCM(Hard C-Means) clustering method are used for on-line fuzzy modeling of nonlinear and complex system. Here HCM clustering method is utilized for determining the initial parameter of membership function of fuzzy premise rules and also avoiding overflow phenomenon during the identification of consequence parameters. To obtain the on-line model structure of fuzzy systems. we use the recursive least square method for the consequent parameter identification. And the proposed on-line identification algorithm is carried out and is evaluated for sewage treatment process system.

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