DocumentCode
2414629
Title
Stabilization of T-S fuzzy systems using LTV system theory
Author
ShiYu Gao ; Man, Zhihong ; Yu, Xinghuo
Author_Institution
Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore
fYear
2003
fDate
8-8 Oct. 2003
Firstpage
122
Lastpage
127
Abstract
Takagi-Sugeno (T-S) fuzzy systems are equivalent to linear time-varying (LTV) systems, the theory of LTV systems can therefore be used to design global feedback controllers to stabilize T-S fuzzy systems. It is seen that the closed-loop T-S fuzzy system is first transformed into the canonical form by using a Lyapunov transform, a global feedback controller is then designed to assign all Parallel D-spectrum eigenvalues (PD-eigenvalues) of the closed-loop T-S fuzzy system to the desired locations whose real parts have negative extended means. The proposed control scheme not only guarantees asymptotic stability of the closed-loop T-S fuzzy systems, but also allows the designers to directly design a simple global controller instead of deriving a complex global controller by aggregating all local controllers using fuzzy membership functions. A simulation example is given in support of the proposed scheme.
Keywords
Lyapunov matrix equations; asymptotic stability; closed loop systems; control system synthesis; eigenstructure assignment; fuzzy set theory; fuzzy systems; linear systems; time-varying systems; LTV system theory; Lyapunov transform; PD-eigenvalues; Parallel D-spectrum eigenvalues; Takagi-Sugeno fuzzy systems; asymptotic stability; canonical form; closed loop T-S fuzzy systems; complex global controller; control system synthesis; fuzzy membership functions; global feedback controllers design; linear time-varying system theory; stabilization;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control. 2003 IEEE International Symposium on
Conference_Location
Houston, TX, USA
ISSN
2158-9860
Print_ISBN
0-7803-7891-1
Type
conf
DOI
10.1109/ISIC.2003.1253925
Filename
1253925
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