Proceedings of the Korean Institute of Intelligent Systems Conference (한국지능시스템학회:학술대회논문집)

Korean Institute of Intelligent Systems (한국지능시스템학회)
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On-line Identification of a Fuzzy System

  • Kim, euntai (The Dept. of Electronic Engr., Seoul National Polytechnic University) ;
  • Lee, Heejin (The Dept. of Electronic Engr., Seoul National Polytechnic University) ;
  • Park, Minkee (The Dept. of Electronic Engr., Seoul National Polytechnic University) ;
  • Park, Mignon (The Dept. of Electronic Engr., Seoul National Polytechnic University)
  • Published : 1998.06.01
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Abstract

This paper presents an explanation regarding on-line identification of a fuzzy system. The fuzzy system to be identified is assumed to be in the type of singletion consequent parts and be represented by a linear combination of fuzzy basis function (FBF's). For on-line identification, squared-cosine (SCOS) fuzzy basis function is introduced to reduce the number of parameters to be identified and make the system consistent and differentiable. Then the parameters of the fuzzy system are identified on-line by the gradient search method. Finally, a computer simulation is performed to illustrate the validity of the suggested algorithms.

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