Networked control for a class of T-S fuzzy systems with stochastic sensor faults

被引:49
作者
Peng, Chen [1 ,2 ]
Fei, Min-Rui [1 ]
Tian, Engang [2 ]
机构
[1] Shanghai Univ, Sch Mechatron Engn & Automat, Shanghai 200072, Peoples R China
[2] Nanjing Normal Univ, Sch Elect & Automat Engn, Nanjing 210042, Jiangsu, Peoples R China
基金
美国国家科学基金会;
关键词
Fuzzy system models; Fault detection and diagnosis; Networked control systems (NCSs); Linear matrix inequalities (LMIs); TOLERANT CONTROL; DELAY; DESIGN; STABILIZATION;
D O I
10.1016/j.fss.2012.09.015
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
This paper is concerned with networked control for a class of T S fuzzy systems with stochastic sensor faults. First, a unified model of networked control system is proposed, which has two significant features: (a) the fault statistics of each sensor is individually quantified and (b) stochastic sensor faults and nonideal network Quality of Services (QoS), such as data dropout and network-induced delay, are coupled in a unified framework. Secondly, based on the Lyapunov-Krasovskii functional and the stochastic analysis technique, sufficient network-QoS-dependent conditions are derived for the stability analysis and controller design, respectively. Moreover, a modified cone complementary linearisation (CCL) algorithm is also introduced to solve the nonlinear matrix inequalities in the controller design. Finally, two examples are given to demonstrate the effectiveness of the proposed method. (C) 2012 Elsevier B.V. All rights reserved.
引用
收藏
页码:62 / 77
页数:16
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