Modeling and control of Takagi-Sugeno fuzzy hyperbolic model for a class of nonlinear systems

被引:4
作者
Li, Junmin [1 ]
Wang, Jiaxian [1 ]
Chen, Minglai [1 ,2 ]
机构
[1] Xidian Univ, Sch Math & Stat, Xian 710071, Shaanxi, Peoples R China
[2] Xian Inst Opt & Precis Mech CAS, Xian, Shaanxi, Peoples R China
基金
中国国家自然科学基金;
关键词
Nonlinear systems; T-S fuzzy hyperbolic model; small control amplitude; fuzzy control; linear matrix inequalities (LMIs); DISCRETE-TIME-SYSTEMS; TRACKING CONTROL DESIGN; INFINITY FILTER DESIGN; PREDICTIVE CONTROL; STABILITY ANALYSIS; DELAY; STABILIZATION; IDENTIFICATION;
D O I
10.3233/JIFS-161780
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, a Takagi-Sugeno (T-S) fuzzy hyperbolic model is proposed for the fuzzy control of a class of nonlinear systems. The consequence of the proposed model is a hyperbolic tangent dynamic model, and it is employed to represent the nonlinear system. By constructing a new Lyapunov function, the stability conditions of the open-loop T-S fuzzy hyperbolic system are derived via linear matrix inequalities (LMIs). Then, the parallel distributed compensation (PDC) method is used to design a fuzzy hyperbolic controller, and the asymptotic stability conditions of the closed-loop system are formulated via LMIs. The main advantage of the control based on T-S fuzzy hyperbolic model is that it can achieve small control amplitude via "soft" constraint control approach. Finally, the effectiveness and advantage of the proposed schemes are illustrated by a mathematical constructive example and the Van de Vusse example.
引用
收藏
页码:3265 / 3273
页数:9
相关论文
共 41 条
[1]  
[Anonymous], P IEEE C EV COMP BRI
[2]  
[Anonymous], 2009, FUZZY HYPERBOLIC MOD
[3]   Min-max control of constrained uncertain discrete-time linear systems [J].
Bemporad, A ;
Borrelli, F ;
Morari, M .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2003, 48 (09) :1600-1606
[4]   Fault tolerant saturated control for T-S fuzzy discrete-time systems with delays [J].
Benzaouia, Abdellah ;
El Hajjaji, Ahmed ;
Hmamed, Abdelaziz ;
Oubah, Rkia .
NONLINEAR ANALYSIS-HYBRID SYSTEMS, 2015, 18 :60-71
[5]   Stabilizing Model Predictive Control of Stochastic Constrained Linear Systems [J].
Bernardini, Daniele ;
Bemporad, Alberto .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2012, 57 (06) :1468-1480
[6]   A CHRONOLOGICAL BIBLIOGRAPHY ON SATURATING ACTUATORS [J].
BERNSTEIN, DS ;
MICHEL, AN .
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 1995, 5 (05) :375-380
[7]   Robust stability analysis and fuzzy-scheduling control for nonlinear systems subject to actuator saturation [J].
Cao, YY ;
Lin, ZL .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2003, 11 (01) :57-67
[8]   H∞ and mixed H2/H∞ control of discrete-time T-S fuzzy systems with local nonlinear models [J].
Dong, Jiuxiang ;
Wang, Youyi ;
Yang, Guang-Hong .
FUZZY SETS AND SYSTEMS, 2011, 164 (01) :1-24
[9]   Output Feedback Fuzzy Controller Design With Local Nonlinear Feedback Laws for Discrete-Time Nonlinear Systems [J].
Dong, Jiuxiang ;
Wang, Youyi ;
Yang, Guang-Hong .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2010, 40 (06) :1447-1459
[10]   Control Synthesis of Continuous-Time T-S Fuzzy Systems With Local Nonlinear Models [J].
Dong, Jiuxiang ;
Wang, Youyi ;
Yang, Guang-Hong .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2009, 39 (05) :1245-1258