DocumentCode :
2848835
Title :
On improved delay-dependent robust stabilization of Takagi-Sugeno fuzzy systems with state and input delays
Author :
Li, Li ; Yu, Fajun
Author_Institution :
Coll. of Math. & Syst. Sci., Shenyang Normal Univ., Shenyang, China
fYear :
2010
fDate :
26-28 May 2010
Firstpage :
1990
Lastpage :
1994
Abstract :
This paper investigates the robust delay-dependent stabilization problem for uncertain fuzzy systems with state and input delays which is more general fuzzy model. Taking Leibniz-Newton formula into account, sufficient matrix inequalities conditions for stabilization of such systems are derived via a novel Lyapunov-Krasovskii functional (LKF), which are dependent on the size of the delays and are based on the solutions of linear matrix inequalities (LMIs). Finally, numerical examples are included to show the effectiveness and improvement of the proposed method.
Keywords :
Lyapunov methods; Newton method; delay systems; fuzzy systems; linear matrix inequalities; robust control; uncertain systems; LKF; LMI; Leibniz-Newton formula; Lyapunov-Krasovskii functional; Takagi-Sugeno fuzzy systems; delay-dependent robust stabilization; fuzzy model; input delay; linear matrix inequality; robust delay-dependent stabilization; state delay; sufficient matrix inequalities conditions; uncertain fuzzy systems; Bismuth; Control systems; Delay effects; Delay systems; Fuzzy systems; Linear matrix inequalities; Robust control; Robustness; Takagi-Sugeno model; Uncertainty; Fuzzy systems; LMI; State and input delay; Time-delay;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2010 Chinese
Conference_Location :
Xuzhou
Print_ISBN :
978-1-4244-5181-4
Electronic_ISBN :
978-1-4244-5182-1
Type :
conf
DOI :
10.1109/CCDC.2010.5498885
Filename :
5498885
Link To Document :
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