Title :
Takagi-Sugeno Fuzzy Model Structure Selection Based on New Sensitivity Analysis
Author :
Sáez, Doris ; Zufiiga, R.
Author_Institution :
Electr. Eng. Dept., Univ. de Chile
Abstract :
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
Keywords :
boilers; combined cycle power stations; fuzzy set theory; fuzzy systems; identification; sensitivity analysis; Takagi-Sugeno fuzzy model structure selection; combined cycle power plant boiler simulator; identification; input variables; sensitivity analysis; Delay systems; Fuzzy sets; Fuzzy systems; Input variables; Nonlinear equations; Parameter estimation; Sensitivity analysis; Takagi-Sugeno model; Testing; Vectors;
Conference_Titel :
Fuzzy Systems, 2005. FUZZ '05. The 14th IEEE International Conference on
Conference_Location :
Reno, NV
Print_ISBN :
0-7803-9159-4
DOI :
10.1109/FUZZY.2005.1452444
