Stability Analysis of Discrete Type-2 TSK Fuzzy Systems with Interval Uncertainty

被引：0
|
作者：
Jafarzadeh, Saeed [1 ]
Fadali, M. Sami [1 ]
机构：
[1] Univ Nevada, Dept Elect & Biomed Engn, Reno, NV 89557 USA
来源：
2010 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE 2010) | 2010年
关键词：
LOGIC SYSTEMS; IDENTIFICATION; DESIGN; MODEL;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Type-2 fuzzy systems provide good models for uncertain fuzzy systems. This paper introduces three sufficient stability conditions for Takagi-Sugeno-Kang (TSK) type-2 fuzzy systems. The main advantage of the new conditions is that they do not require the existence of a common Lyapunov function and are therefore applicable to systems with unstable consequents. Conditions are derived for stability in the sense of Lyapunov and for asymptotic stability. The use of each condition in stability testing is demonstrated using simple numerical examples where methods based on a common Lyapunov function fail.
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页数：8
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