DocumentCode :
558827
Title :
Stabilization of polynomial fuzzy large-scale system: Sum-of-square approach
Author :
Kim, Han Sol ; Park, Jin Bae ; Joo, Young Hoon
Author_Institution :
Dept. of Electr. Electron. Eng., Yonsei Univ., Seoul, South Korea
fYear :
2011
fDate :
26-29 Oct. 2011
Firstpage :
1462
Lastpage :
1466
Abstract :
This paper presents a polynomial fuzzy method approach to stabilize the nonlinear large-scale system. Unlike conventional T-S fuzzy system, polynomial fuzzy system contains polynomial matrix. Since polynomial fuzzy system has polynomial matrix, this system has less IF-THEN rules than T-S fuzzy system. Based on the proposed method, stabilization condition is derived in the form of polynomial and solved by sum-of-square method. Finally, some examples demonstrate that the proposed condition is adoptable in modeling and stabilization for the nonlinear large-scale system.
Keywords :
fuzzy set theory; large-scale systems; nonlinear control systems; polynomial matrices; stability; T-S fuzzy system; if-then rules; nonlinear large-scale system; polynomial fuzzy large-scale system; polynomial matrix; stabilization; sum-of-square approach; Fuzzy systems; Large-scale systems; Linear matrix inequalities; Nonlinear systems; Polynomials; Stability analysis; Vectors; Large-scale system; Polynomial fuzzy system; Sum-of-squares; polynomial Lyapunov function;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Automation and Systems (ICCAS), 2011 11th International Conference on
Conference_Location :
Gyeonggi-do
ISSN :
2093-7121
Print_ISBN :
978-1-4577-0835-0
Type :
conf
Filename :
6106160
Link To Document :
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