Takagi-Sugeno-Kang Fuzzy Structures in Dynamic System Modeling
نویسندگان
چکیده
This paper concerns the use of fuzzy structures to model linear dynamic systems. A systematic method is proposed to generate the rules and also select the antecedent and consequent membership functions directly from the mathematical expression. The procedure is applied to the Takagi-Sugeno-Kang fuzzy structures and later adapted to the Mamdani fuzzy structures. It is shown that the Mamdani structure are useful to model nonlinear systems obtained by perturbing linear dynamic systems.
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