A novel descriptor redundancy approach for non-quadratic robust H∞ control of T-S fuzzy nonlinear singularly perturbed systems

被引:4
作者
Asemani, M. H. [1 ]
Majd, Vahid Johari [2 ]
机构
[1] Shiraz Univ, Control & Power Engn Dept, Sch Elect & Comp Engn, Shiraz, Iran
[2] Tarbiat Modares Univ, Sch Elect & Comp Engn, Dept Control Engn, Tehran, Iran
关键词
Takagi-Sugeno (T-S) fuzzy singularly perturbed system; fuzzy Lyapunov function; descriptor redundancy; H-infinity control; Linear Matrix Inequalities (LMIs); POLE-PLACEMENT CONSTRAINTS; LYAPUNOV FUNCTION-APPROACH; CONTROL DESIGN; STABILITY ANALYSIS; TRACKING CONTROL; STABILIZATION;
D O I
10.3233/IFS-141303
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A new design procedure for robust H-infinity control for a class of T-S fuzzy singularly perturbed systems based on fuzzy Lyapunov functions and non-PDC control scheme is proposed in this paper. Using the proposed controller, the closed-loop T-S fuzzy singularly perturbed system becomes asymptotically stable in the absence of disturbances and satisfies the lico-norm condition in the presence of disturbances all positive values of the singular perturbation parameter within the given desired bound. The main drawback of a fuzzy Lyapunov-based approach is that one needs to find some upper or lower bounds for the derivatives of the grades of the membership functions, which is hard to find in practice. By using natural properties of a T-S model, a novel procedure is proposed to tackle this problem. Using the descriptor redundancy approach, the design conditions are derived in the form of some strict linear matrix inequalities (LMIs). Moreover, to cover a more general problem, it is assumed that there exist some uncertainties in the local system matrices of the T-S fuzzy singularly perturbed system. Two examples are presented to illustrate that the proposed design conditions are feasible for larger bounds on the singular perturbation parameter compared to those of previous techniques.
引用
收藏
页码:15 / 26
页数:12
相关论文
共 29 条
[11]   Relaxed stability issues for T-S fuzzy system: Based on a fuzzy quadratic Lyapunov function [J].
Juang, Yau-Tarng ;
Yan, Chung-Lin ;
Huang, Chih-Peng .
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2014, 26 (02) :667-679
[12]   ASYMPTOTIC STABILITY OF NON-LINEAR MULTI-PARAMETER SINGULARLY PERTURBED SYSTEMS [J].
KHALIL, HK .
AUTOMATICA, 1981, 17 (06) :797-804
[13]  
Kokotovic P.V., 1986, SINGULAR PERTURBATIO, DOI DOI 10.1137/1.9781611971118.BM
[14]   LMI-based stability and performance conditions for continuous-time nonlinear systems in Takagi-Sugeno's form [J].
Lam, H. K. ;
Leung, Frank H. E. .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2007, 37 (05) :1396-1406
[15]   Stabilization of singularly perturbed fuzzy systems [J].
Li, THS ;
Lin, KJ .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2004, 12 (05) :579-595
[16]   Composite fuzzy control of nonlinear singularly perturbed systems [J].
Li, Tzuu-Hseng S. ;
Lin, Kuo-Jung .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2007, 15 (02) :176-187
[17]   Stability analysis and synthesis of fuzzy singularly perturbed systems [J].
Liu, HP ;
Sun, FC ;
Sun, ZQ .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2005, 13 (02) :273-284
[18]  
Lofberg J., 2004, 2004 IEEE International Symposium on Computer Aided Control Systems Design (IEEE Cat. No.04TH8770), P284, DOI 10.1109/CACSD.2004.1393890
[19]  
Manamanni N, 2007, J INTELL FUZZY SYST, V18, P185
[20]   Fuzzy-Model-Based Piecewise H∞ Static-Output-Feedback Controller Design for Networked Nonlinear Systems [J].
Qiu, Jianbin ;
Feng, Gang ;
Gao, Huijun .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2010, 18 (05) :919-934