Fuzzy - Logic - Based System Modeling and itsApplication to Nonlinear Process
نویسنده
چکیده
A special method for fuzzy-logic-based system modeling is presented to develop multi-variable fuzzy models on the basis of the system's measured input and output data. The global modeling problem is proposed to be solved in two steps: by fuzzy model connguration and fuzzy model identiication. The fuzzy model connguration procedure is characterized by preliminary considerations leading to the deenition of the basic model structure and appropriate fuzzy operators to be applied. Representing the crucial point in fuzzy modeling, the fuzzy model identiica-tion procedure is carried out by applying a special clustering method, the fuzzy c-elliptotypes method, providing the parameters of the fuzzy model. As an application the resulting fuzzy model is nally ebedded into an special conception of nonlinear fuzzy control.
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