Exact Output Regulation for Nonlinear Systems Described by Takagi-Sugeno Fuzzy Models

被引:43
作者
Alberto Meda-Campana, Jesus [1 ]
Cesar Gomez-Mancilla, Julio [1 ]
Castillo-Toledo, Bernardino [2 ]
机构
[1] Natl Polytech Inst, Lab Rotordynam & Vibrat, Dept Mech Engn, SEPI ESIME Zacatenco, Mexico City 07738, DF, Mexico
[2] CINVESTAV IPN, Dept Elect Engn & Comp Sci, Unidad Guadalajara, Mexico City 45019, DF, Mexico
关键词
Francis equations; fuzzy output regulation; Takagi-Sugeno (T-S) fuzzy model; DISCRETE-TIME-SYSTEMS; H-INFINITY CONTROL; STABILITY ANALYSIS; LYAPUNOV APPROACH; DESIGN; STABILIZATION; TRACKING;
D O I
10.1109/TFUZZ.2011.2172689
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The exact output regulation for Takagi-Sugeno (T-S) fuzzy models depends on two conditions: 1) The local steady-state zero-error manifolds have to be the same for every local subsystem, and 2) the local input matrices have to be the same for every local subsystem included in the T-S fuzzy model. These conditions are difficult to satisfy in general. In this paper, those conditions are relaxed by solving the fuzzy regulation problem directly on the overall T-S fuzzy model, instead of constructing the fuzzy regulator on the basis of linear local controllers. By considering the fuzzy model as a special class of linear time-varying systems, existence conditions are rigorously derived. These new conditions, which can be solved by means of any mathematical software, depend on the solution of a set of symbolic simultaneous linear equations depending on the membership values of the plant and/or the exosystem. Two examples are given to illustrate the construction of the proposed regulator and to validate the improvement that is achieved with the proposed approach.
引用
收藏
页码:235 / 247
页数:13
相关论文
共 42 条
[11]   OUTPUT REGULATION OF NONLINEAR-SYSTEMS [J].
ISIDORI, A ;
BYRNES, CI .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1990, 35 (02) :131-140
[12]  
Isidori A, 1995, NONLINEAR CONTROL SYSTEMS DESIGN 1995, VOLS 1 AND 2, P87
[13]  
Jadbabaie A., 1999, Proceedings of the 14th World Congress. International Federation of Automatic Control, P285
[14]   LMI-Based Stability Analysis for Fuzzy-Model-Based Control Systems Using Artificial T-S Fuzzy Model [J].
Lam, H. K. .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2011, 19 (03) :505-513
[15]   Polynomial Fuzzy-Model-Based Control Systems: Stability Analysis Via Piecewise-Linear Membership Functions [J].
Lam, H. K. .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2011, 19 (03) :588-593
[16]   Quadratic-Stability Analysis of Fuzzy-Model-Based Control Systems Using Staircase Membership Functions [J].
Lam, H. K. ;
Narimani, Mohammad .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2010, 18 (01) :125-137
[17]   Further Theoretical Justification of the k-Samples Variation Approach for Discrete-Time Takagi-Sugeno Fuzzy Systems [J].
Lee, Dong Hwan ;
Park, Jin Bae ;
Joo, Young Hoon .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2011, 19 (03) :594-597
[18]   Comments on "Output tracking and regulation of nonlinear system based on Takagi-Sugeno fuzzy model" [J].
Lee, HJ ;
Park, JB ;
Joo, YH .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2003, 33 (03) :521-523
[19]   Output tracking control for fuzzy systems via output feedback design [J].
Lian, Kuang-Yow ;
Liou, Jeih-Jang .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2006, 14 (05) :628-639
[20]   Approaches to quadratic stability conditions and H∞ control designs for T-S fuzzy systems [J].
Liu, XD ;
Zhang, QL .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2003, 11 (06) :830-839