Co-design of event generator and filtering for a class of T-S fuzzy systems with stochastic sensor faults

被引:59
作者
Liu, Jinliang [1 ,2 ]
Fei, Shumin [2 ]
Tian, Engang [3 ]
Gu, Zhou [4 ]
机构
[1] Nanjing Univ Finance & Econ, Dept Appl Math, Nanjing 210023, Jiangsu, Peoples R China
[2] Southeast Univ, Sch Automat, Nanjing 210096, Jiangsu, Peoples R China
[3] Nanjing Normal Univ, Inst Informat & Control Engn Technol, Nanjing 210042, Jiangsu, Peoples R China
[4] Nanjing Forestry Univ, Coll Mech & Elect Engn, Nanjing 210042, Jiangsu, Peoples R China
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
Reliable filter design; Stochastic sensor failure; Event-triggered scheme; T-S fuzzy systems; Networked control systems; NETWORKED CONTROL-SYSTEMS; TIME-VARYING DELAY; H-INFINITY CONTROL; NONLINEAR-SYSTEMS; MODEL APPROACH; STABILITY;
D O I
10.1016/j.fss.2014.09.013
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
This paper is firstly concerned with reliable H-infinity filter design for a class of T-S fuzzy systems with stochastic sensor faults under an event triggered scheme. 1) A T-S fuzzy model is used to approximate the nonlinear dynamics of the plant. A set of stochastic variables are used to describe the sensor failure. 2) An event-triggered scheme, which has some advantages over some existing ones, is introduced to the networked control systems. Under the event-triggered scheme, the sensor data are transmitted only when the sampled measurements of the plant violate the specified event condition. Then, an event-based filter design model for T-S fuzzy systems is constructed by taking the effect of event-triggered scheme and the sensor faults into consideration. Sufficient conditions for the existence of the desired filter are established in terms of linear matrix inequalities and the explicit expression is given for the designed filter parameters. A numerical example is provided to illustrate the design method. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码:124 / 140
页数:17
相关论文
共 20 条
[1]   Design of fuzzy control systems with guaranteed stability [J].
Feng, G ;
Cao, SG ;
Rees, NW ;
Chak, CK .
FUZZY SETS AND SYSTEMS, 1997, 85 (01) :1-10
[2]   A discrete delay decomposition approach to stability of linear retarded and neutral systems [J].
Han, Qing-Long .
AUTOMATICA, 2009, 45 (02) :517-524
[3]   Parameter-dependent Lyapunov functional for stability of time-delay systems with polytopic-type uncertainties [J].
He, Y ;
Wu, M ;
She, JH ;
Liu, GP .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2004, 49 (05) :828-832
[4]   Event-triggered control design of linear networked systems with quantizations [J].
Hu, Songlin ;
Yue, Dong .
ISA TRANSACTIONS, 2012, 51 (01) :153-162
[5]   H∞-Filter Design for a Class of Networked Control Systems Via T-S Fuzzy-Model Approach [J].
Jiang, Bin ;
Mao, Zehui ;
Shi, Peng .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2010, 18 (01) :201-208
[6]   Event-Triggered State Estimation for a Class of Delayed Recurrent Neural Networks with Sampled-Data Information [J].
Li, Hongjie .
ABSTRACT AND APPLIED ANALYSIS, 2012,
[7]   H∞ filter design for nonlinear systems with time-delay through T-S fuzzy model approach [J].
Lin, Chong ;
Wang, Qing-Guo ;
Lee, Tong Heng ;
Chen, Bing .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2008, 16 (03) :739-746
[8]   Event-triggering in networked systems with probabilistic sensor and actuator faults [J].
Liu, Jinliang ;
Yue, Dong .
INFORMATION SCIENCES, 2013, 240 :145-160
[9]   New results on H∞ filter design for nonlinear systems with time-delay through a T-S fuzzy model approach [J].
Liu, Jinliang ;
Gu, Zhou ;
Tian, Engang ;
Yan, Ruixia .
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2012, 43 (03) :426-442
[10]  
Mao XR, 2002, IEEE T AUTOMAT CONTR, V47, P1604, DOI [10.1109/TAC.2002.803529, 10.1109/TAC.2002.804529]