Refinement And Identification Of Fuzzy Relational Models
1998 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AT THE IEEE WORLD CONGRESS ON COMPUTATIONAL INTELLIGENCE - PROCEEDINGS, VOL 1-2(1998)
摘要
This paper is concerned with fuzzy relational model identification. Two new methods are proposed to estimate the parameters of such. models. The first one is an optimization based methodology which uses sequential procedures of quadratic programming to refine models previously estimated by other methods. From this methodology, a recursive algorithm is derived. This algorithm is suitable for on-line identification. Two examples are presented using classical dynamic systems to illustrate the performance of the proposed methods.
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关键词
dynamic system,model identification,quadratic programming,predictive models,quadratic program,fuzzy control,fuzzy sets,fuzzy set theory,function approximation,process control,recursive algorithm
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