Delay-range-dependent robust stabilization for uncertain T-S fuzzy control systems with interval time-varying delays

被引:66
作者
Peng, Chen [1 ,2 ]
Han, Qing-Long [2 ,3 ]
机构
[1] Nanjing Normal Univ, Sch Elect & Automat Engn, Nanjing 210042, Jiangsu, Peoples R China
[2] Cent Queensland Univ, Ctr Intelligent & Networked Syst, Rockhampton, Qld 4702, Australia
[3] Cent Queensland Univ, Sch Informat & Commun Technol, Rockhampton, Qld 4702, Australia
基金
美国国家科学基金会; 澳大利亚研究理事会;
关键词
T-S fuzzy control systems; Stability; Stabilization; Interval time-varying delays; H-INFINITY CONTROL; STABILITY ANALYSIS; STATE-FEEDBACK; LINEAR-SYSTEMS; DESIGN;
D O I
10.1016/j.ins.2011.05.025
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 paper is concerned with robust stabilization for a class of T-S fuzzy control systems with interval time-varying delays. An approach is proposed to significantly improve the system performance while reducing the number of scalar decision variables in linear matrix inequalities. The main points of the approach are: (i) two coupling integral inequalities are proposed to deal with some integral items in the derivation of the stability criteria; (ii) an appropriate Lyapunov-Krasovskii functional is constructed by including both the lower and upper bounds of the interval time-varying delays; and (iii) neither model transformation nor free weighting matrices are employed in the theoretical result derivation. As a result, some improved sufficient stability criteria are derived, and the maximum allowable delay bound and controller gains can be obtained simultaneously by solving an optimization problem. Numerical examples are given to demonstrate the effectiveness of the proposed approach. (C) 2011 Elsevier Inc. All rights reserved.
引用
收藏
页码:4287 / 4299
页数:13
相关论文
共 34 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]   Delay-dependent robust H∞ control for T-S fuzzy systems with time delay [J].
Chen, B ;
Liu, XP .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2005, 13 (04) :544-556
[3]   New delay-dependent stabilization conditions of T-S fuzzy systems with constant delay [J].
Chen, Bing ;
Liu, Xiaoping ;
Tong, Shaocheng .
FUZZY SETS AND SYSTEMS, 2007, 158 (20) :2209-2224
[4]   A cone complementarity linearization algorithm for static output-feedback and related problems [J].
ElGhaoui, L ;
Oustry, F ;
AitRami, M .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1997, 42 (08) :1171-1176
[5]   A new LMI-based approach to relaxed quadratic stabilization of T-S fuzzy control systems [J].
Fang, Chun-Hsiung ;
Liu, Yung-Sheng ;
Kau, Shih-Wei ;
Hong, Lin ;
Lee, Ching-Hsiang .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2006, 14 (03) :386-397
[6]   Air management in a diesel engine using fuzzy control techniques [J].
Garcia-Nieto, S. ;
Salcedo, J. ;
Martinez, M. ;
Lauri, D. .
INFORMATION SCIENCES, 2009, 179 (19) :3392-3409
[7]  
GU K., 2003, CONTROL ENGN SER BIR
[8]   Delay-dependent guaranteed cost control for T-S fuzzy systems with time delays [J].
Guan, XP ;
Chen, CL .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2004, 12 (02) :236-249
[9]  
Han Q.-L., 2001, Asian Journal of Control, V3, P170, DOI 10.1111/j.1934-6093.2001.tb00056.x
[10]   New results for delay-dependent stability of linear systems with time-varying delay [J].
Han, QL .
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2002, 33 (03) :213-228