Fuzzy Clustering for the Identification of Takagi-Sugeno Fuzzy Models of MIMO Dynamical Systems
نویسندگان
چکیده
The identification of nonlinear multi-input multi-output (MIMO) processes is important and challenging problem. Fuzzy systems have been effectively used to identify complex nonlinear dynamical systems, but mostly single-input single-output systems are considered. This paper presents a compact Takagi-Sugeno fuzzy model that can be effectively used to represent MIMO dynamical systems. For the identification of this model a fuzzy clustering algorithm is proposed. This new approach is demonstrated by means of the identification of a high-purity distillation column, where the results are compared to results obtained by standard linear and other advanced fuzzy clustering based identification tools.
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