Stabilization of Fuzzy Systems with Input and State Delays

被引:0
作者
Lo, Ji-Chang [1 ]
Wang, YuChi [1 ]
机构
[1] Natl Cent Univ, Jhongli, Taiwan
来源
2010 IEEE INTERNATIONAL SYMPOSIUM ON INTELLIGENT CONTROL | 2010年
关键词
Takagi-Sugeno fuzzy model; Delay systems; Common P relaxation; Linear matrix inequality; DEPENDENT LYAPUNOV FUNCTIONS; STABILITY ANALYSIS; LMI CONDITIONS; CRITERIA;
D O I
10.1109/ISIC.2010.5612916
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this study, a stabilization problem for continuous-time fuzzy systems subject to multiple time-varying delays in both state and input variables is addressed. Based on Lyapunov-Krasovskii functional and Polya theorem, a sufficient stabilization condition is stated in terms of LMIs. Therefore, stabilizing controllers can be obtained easily with existing convex algorithms. Unlike existing methods, polynomial theory is used to deal with input-delay term u(t - sigma(t)) since this delay term introduces an additional summation after defuzzification. Lastly, an example is given to illustrate the advantages of the proposed machinery, yielding more relaxed results when compared to existing methods.
引用
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页码:475 / 480
页数:6
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