Fuzzy Modeling and System Identiication 1 Submitted for Publication Flins 98 Third International Workshop on Fuzzy Logic and Intelligent Technologies for Nuclear Science and Industry Fuzzy Modeling and System Identiication
نویسندگان
چکیده
Fuzzy control systems have been extensively used on industrial applications. In the recent years Fuzzy Modeling had become the center of attention for researchers in the area. The theory has been oriented mainly to static function approximation and classiication problems but very few publications have addressed the problem of dynamic function approximation. The problem of identiication using nonlinear models is a problem of dynamic function approximation. This problem involves many subproblems: experiment design, structure selection and validation. This paper discuss these issues.
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