ROBUST STABILIZATION CONDITIONS AND OBSERVER-BASED CONTROLLERS FOR FUZZY SYSTEMS WITH INPUT DELAY

被引:0
作者
Tong, Shaocheng [1 ]
Zhang, Wei [1 ]
Wang, Tao [1 ]
机构
[1] Liaoning Univ Technol, Dept Basic Math, Jinzhou 121001, Peoples R China
来源
INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL | 2010年 / 6卷 / 12期
基金
中国国家自然科学基金;
关键词
Fuzzy control; T-S fuzzy systems; Input delay; Parametric uncertainties; Fuzzy state observer; Stability conditions; TIME-VARYING DELAY; DEPENDENT STABILITY ANALYSIS; GUARANTEED COST CONTROL; FAULT-TOLERANT CONTROL; LMI-BASED DESIGNS; ACTUATOR FAILURES; REGULATORS;
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
In this paper, robust state feedback and observer-based fuzzy controllers are developed for uncertain. T-S fuzzy systems with input delay. By using a generalized Lyapunov function and introducing a parameterized model transformation with free weighting matrices, the less conservative robust stabilization conditions are given for both state measured and state unmeasured cases, which are formulated in terms of linear matrix inequalities (LMIs). It is proved that the proposed fuzzy control approach can guarantee the stability of the closed-loop system. A simulation example is given to illustrate the effectiveness of the proposed approaches.
引用
收藏
页码:5473 / 5484
页数:12
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