Design of observer-based controller for T-S fuzzy systems with intermittent measurements

被引：7

作者：

Zhou, Qi ^{[1
]}

Liu, Di ^{[2
]}

Sun, Kai ^{[3
]}

Wu, Chengwei ^{[1
]}

Xing, Xing ^{[1
]}

机构：

[1] Bohai Univ, Coll Informat Sci & Technol, Jinzhou 121013, Peoples R China

[2] Bohai Univ, Coll Math & Phys, Jinzhou 121013, Liaoning, Peoples R China

[3] Bohai Univ, Coll Engn, Jinzhou 121013, Liaoning, Peoples R China

来源：

NEUROCOMPUTING | 2016年 / 174卷

关键词：

Nonlinear networked control systems; Interval type-2 Takagi-Sugeno fuzzy model; Parameter uncertainties; Imperfect communication channels; NETWORKED CONTROL-SYSTEMS; OUTPUT-FEEDBACK CONTROL; ROBUST FAULT-DETECTION; H-INFINITY CONTROL; STABILITY ANALYSIS; NONLINEAR-SYSTEMS; DELAY; STABILIZATION;

D O I：

10.1016/j.neucom.2015.09.084

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper studies the problem of observer-based fuzzy control for a class of nonlinear networked control systems (NCSs) in the framework of interval type-2 (IT2) Takagi-Sugeno (T-S) fuzzy model. Both imperfect communication channels and parameter uncertainties are taken into consideration. Bernoulli random distribution is used to describe such unreliable communication environment. Nonlinear NCSs are modeled via the IT2 T-S fuzzy model, in which membership functions with lower and upper bounds can capture and express parameter uncertainties. The observer is designed to observe unmeasurable state variables. Moreover, based on these techniques, sufficient conditions are derived to guarantee the resulting closed-loop system to be stochastically stable and possess the property of external disturbance attenuation. Finally, a numerical example is provided to illustrate the effectiveness of the approach proposed in this paper. (C) 2015 Elsevier B.V. All rights reserved.

引用

页码：689 / 697

页数：9

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