Proceedings of the Korean Institute of Intelligent Systems Conference (한국지능시스템학회:학술대회논문집)
- 1993.06a
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- Pages.1226-1229
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- 1993
An On-Line Fuzzy Identification Method utilizing Fuzzy Model Evaluation
- Bae, Sang-Wook (Dept. of Electrical Eng. Korea Univ.) ;
- Park, Tae-Hong- (Dept. of Electrical Eng. Korea Univ.) ;
- Lee, Kee-Sang- (Dept. of Electrical Eng. Dankook Univ.) ;
- Park, Gwi-Tae- (Dept. of Electrical Eng. Korea Univ.)
- Published : 1993.06.01
Abstract
This paper proposes a new on-line fuzzy model identification(ONFID) algorithm in which the fuzzy model evaluation stage is incorporated. The fuzzy model evaluation is performed by the fuzzy equality index which is known to be a useful tool to evaluate the performance of the identified fuzzy model. Then the fuzzy model is updated according to the result of the evaluation. Proposed ONFID algorithm can sensibly identify to the system changes. To show the usefulness of the proposed algorithm, it is applied to the fuzzy model identification problem of the gas furnace and the output prediction problem of the flexible joint manipulator which is a nonlinear system.
Keywords