Reliable H∞ non-uniform sampling tracking control for continuous-time non-linear systems with stochastic actuator faults

被引:26
作者
Hu, S. [1 ,2 ]
Yue, D. [1 ,2 ]
Du, Z. [3 ]
Liu, J. [4 ]
机构
[1] Huazhong Univ Sci & Technol, Dept Control Sci & Engn, Wuhan 430074, Peoples R China
[2] Huazhong Univ Sci & Technol, Minist Educ Image Proc & Intelligent Control, Key Lab, Wuhan 430074, Peoples R China
[3] Jiangsu Univ Sci & Technol, Coll Elect & Informat, Zhenjiang 212003, Peoples R China
[4] Nanjing Univ Finance & Econ, Dept Appl Math, Nanjing 210046, Peoples R China
基金
中国国家自然科学基金;
关键词
NETWORKED CONTROL-SYSTEMS; S FUZZY-SYSTEMS; DEPENDENT STABILITY ANALYSIS; VARYING DELAY; TOLERANT CONTROL; CONTROL DESIGN; STABILIZATION; MODEL; FAILURES;
D O I
10.1049/iet-cta.2010.0700
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This study is concerned with the fuzzy H-infinity non-uniform sampling tracking control problem of non-linear systems described by Takagi-Sugeno fuzzy systems. Considering the stochastic actuator failures, together with the input delay approach, a unified tracking control model of the non-linear systems with stochastic parameter matrix is first established. The unified model has three features: (I) the different premise variables and timescales are employed in the T-S fuzzy models and the controller rules; (II) non-uniform sampling controller is designed and (III) the fault statistics of each actuator is individually quantified. Based on Lyapunov functional approach and stochastic analysis technique, a control design scheme that guarantees the prescribed H-infinity tracking performance of the non-linear systems is proposed in terms of linear-matrix-inequalities. Finally, two application examples are given to show the effectiveness of the proposed method.
引用
收藏
页码:120 / 129
页数:10
相关论文
共 49 条
[1]   Stability analysis and synthesis of nonlinear time-delay systems via linear Takagi-Sugeno fuzzy models [J].
Cao, YY ;
Frank, PM .
FUZZY SETS AND SYSTEMS, 2001, 124 (02) :213-229
[2]   Adaptive fuzzy output tracking control of MIMO nonlinear uncertain systems [J].
Chen, Bing ;
Liu, Xiaoping ;
Tong, Shaocheng .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2007, 15 (02) :287-300
[3]   Delay-dependent robust H∞ control for uncertain singular systems with multiple state delays [J].
Du, Z. P. ;
Zhang, Q. L. ;
Li, Y. .
IET CONTROL THEORY AND APPLICATIONS, 2009, 3 (06) :731-740
[4]   Fault diagnosis of networked control systems [J].
Fang, Huajing ;
Ye, Hao ;
Zhong, Maiying .
ANNUAL REVIEWS IN CONTROL, 2007, 31 (01) :55-68
[5]   Robust sampled-data stabilization of linear systems: an input delay approach [J].
Fridman, E ;
Seuret, A ;
Richard, JP .
AUTOMATICA, 2004, 40 (08) :1441-1446
[6]   A refined input delay approach to sampled-data control [J].
Fridman, Emilia .
AUTOMATICA, 2010, 46 (02) :421-427
[7]   Network-based H∞ output tracking control [J].
Gao, Huijun ;
Chen, Tongwen .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2008, 53 (03) :655-667
[8]   Fuzzy state/disturbance observer design for T-S fuzzy systems with application to sensor fault estimation [J].
Gao, Zhiwei ;
Shi, Xiaoyan ;
Ding, Steven X. .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2008, 38 (03) :875-880
[9]  
HUANG R, 2010, J DYN SYST MEAS CONT
[10]   Fuzzy H∞ Tracking Control for Nonlinear Networked Control Systems in T-S Fuzzy Model [J].
Jia, Xinchun ;
Zhang, Dawei ;
Hao, Xinghua ;
Zheng, Nanning .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2009, 39 (04) :1073-1079