DocumentCode
425583
Title
Cluster optimization for Takagi & Sugeno fuzzy models and its application to a combined cycle power plant boiler
Author
Sáez, Doris ; Zuniga, R.
Author_Institution
Dept. of Electr. Eng., Chile Univ., Santiago, Chile
Volume
2
fYear
2004
fDate
June 30 2004-July 2 2004
Firstpage
1776
Abstract
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.
Keywords
boilers; fuzzy set theory; fuzzy systems; identification; nonlinear control systems; optimisation; pattern clustering; sensitivity analysis; thermal power stations; Chen series; Takagi-Sugeno fuzzy models; benchmark problem; cluster optimization; cycle power plant boiler; identification; input variable selection; nonlinear control systems; sensitivity analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 2004. Proceedings of the 2004
Conference_Location
Boston, MA, USA
ISSN
0743-1619
Print_ISBN
0-7803-8335-4
Type
conf
Filename
1386837
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