Cluster optimization for Takagi & Sugeno fuzzy models and its application to a combined cycle power plant boiler
Doris A. Sáez, Raúl Ávalos-Zúñiga · 2004
A new method for cluster number optimization of Takagi & Sugeno models is proposed. A general identification methodology is also described, including a sensitivity analysis for input variable selection. The new method is exemplified using a benchmark problem, i.e., Chen series. After that, the fuzzy models of a combined cycle power plant boiler, using the proposed methodology, are derived.