Takagi-Sugeno Fuzzy Model Structure Selection Based on New Sensitivity Analysis

Doris A. Sáez, Roberto Zuniga · 2005

In this paper, a new selection method of relevant input variables of Takagi & Sugeno models is proposed. Also, a general identification methodology is described. The proposed method is exemplified using a benchmark problem and also a data set from a combined cycle power plant boiler simulator

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