DocumentCode :
1765302
Title :
Robust Stability and Stabilization of Uncertain T–S Fuzzy Systems With Time-Varying Delay: An Input–Output Approach
Author :
Lin Zhao ; Huijun Gao ; Karimi, Hamid Reza
Author_Institution :
Res. Inst. of Intell. Control & Syst., Harbin Inst. of Technol., Harbin, China
Volume :
21
Issue :
5
fYear :
2013
fDate :
Oct. 2013
Firstpage :
883
Lastpage :
897
Abstract :
An input-output approach to the stability and stabilization of uncertain Takagi-Sugeno (T-S) fuzzy systems with time-varying delay is proposed in this paper. The time-varying parameter uncertainties are assumed to be norm-bounded, and the delay is intervally time varying. A novel method is employed to approximate the time-varying delay, based on which the considered system is transformed into a feedback interconnection form. The new formulation of the system is comprised of a forward subsystem with constant time delay and a feedback subsystem embedding the uncertainties. By applying the scaled small-gain theorem to the converted system, less conservative stability and stabilization criteria are obtained. Moreover, the applicability of the proposed approach to the robust case is simpler since both delay and parameter uncertainties are processed in a unified framework. Numerical experiments are performed to illustrate the advantage of the proposed techniques.
Keywords :
delays; feedback; fuzzy systems; robust control; stability criteria; time-varying systems; uncertain systems; constant time delay; feedback interconnection form; feedback subsystem; forward subsystem; input-output approach; robust stability; scaled small-gain theorem; stabilization criteria; time-varying delay; time-varying parameter uncertainties; uncertain T-S fuzzy system stabilization; uncertain Takagi-Sugeno fuzzy system stabilization; Delay; Delay effects; Fuzzy systems; Stability analysis; Symmetric matrices; Time varying systems; Uncertainty; Delay systems; Takagi–Sugeno (T–S) model; scaled small gain theorem; stability;
fLanguage :
English
Journal_Title :
Fuzzy Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
1063-6706
Type :
jour
DOI :
10.1109/TFUZZ.2012.2235840
Filename :
6392250
Link To Document :
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