Multivariable Fuzzy Identification Approach Applied to Complex Liquid Residues Incineration Process
نویسندگان
چکیده
This paper proposes an identification scheme for a complex liquid effluent incinerator process. This scheme is developed to obtain a MIMO (Multiple Input Single Output) TS (Takagi-Sugeno) fuzzy model where the modified Gath Geva clustering algorithm is used to determine the antecedent part as the consequent parameters are estimated by RLS (Recursive Least Square) algorithm.
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