Observer-based H∞-control for discrete-time T-S fuzzy systems

被引:25
作者
Chang, Xiao-Heng [1 ,2 ]
Yang, Guang-Hong [2 ]
Wang, Haibo [3 ]
机构
[1] Bohai Univ, Coll Informat Sci & Engn, Jinzhou 121003, Liaoning, Peoples R China
[2] Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110004, Liaoning, Peoples R China
[3] Cent S Univ, Sch Informat Sci & Engn, Changsha 410083, Hunan, Peoples R China
关键词
discrete-time T-S fuzzy systems; observer; H-infinity-control; fuzzy Lyapunov functions; LYAPUNOV FUNCTION-APPROACH; NONLINEAR DYNAMIC-SYSTEMS; OUTPUT-FEEDBACK CONTROL; RELAXED STABILITY; CONTROL DESIGN; STABILIZATION;
D O I
10.1080/00207721003653708
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 article further studies the observer-based H-infinity-control problem for discrete-time Takagi-Sugeno (T-S) fuzzy systems. By using fuzzy Lyapunov functions and introducing slack variables, a sufficient condition, which can guarantee observer-based H-infinity-control performance for T-S fuzzy systems, is proposed in terms of a set of bilinear matrix inequalities. Moreover, in the so-called two-step procedure, results of the first step are allowed to select in order to reduce the conservatism of previous approaches. In comparison with the existing literature, the proposed approach not only provides more relaxed H-infinity-control conditions but also ensures better H-infinity-control performance. Finally, the validity and applicability of the proposed approach are successfully demonstrated through two numerical examples.
引用
收藏
页码:1801 / 1809
页数:9
相关论文
共 28 条
[1]  
Chadli M, 2002, IEEE DECIS CONTR P, P311, DOI 10.1109/CDC.2002.1184510
[2]   H∞ FUZZY STATIC OUTPUT FEEDBACK CONTROL OF T-S FUZZY SYSTEMS BASED ON FUZZY LYAPUNOV APPROACH [J].
Chang, Xiao-Heng ;
Yang, Guang-Hong ;
Liu, Xiao-Ping .
ASIAN JOURNAL OF CONTROL, 2009, 11 (01) :89-93
[3]  
Chang XH, 2009, INT J CONTROL AUTOM, V7, P139, DOI [10.1007/S12555-009-0117-8, 10.1007/s12555-009-0117-8]
[4]   Robustness design of nonlinear dynamic systems via fuzzy linear control [J].
Chen, BS ;
Tseng, CS ;
Uang, HJ .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 1999, 7 (05) :571-585
[5]  
Chen BS, 2000, IEEE T FUZZY SYST, V8, P249, DOI 10.1109/91.855915
[6]   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
[7]  
Gahinet P., 1995, LMI Control Toolbox
[8]   Improved H∞ control of discrete-time fuzzy systems:: a cone complementarity linearization approach [J].
Gao, HJ ;
Wang, ZD ;
Wang, CH .
INFORMATION SCIENCES, 2005, 175 (1-2) :57-77
[9]   LMI-based relaxed nonquadratic stabilization conditions for nonlinear systems in the Takagi-Sugeno's form [J].
Guerra, TM ;
Vermeiren, L .
AUTOMATICA, 2004, 40 (05) :823-829
[10]   New approaches to relaxed quadratic stability condition of fuzzy control systems [J].
Kim, E ;
Lee, H .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2000, 8 (05) :523-534