Adaptive fuzzy controller for multivariable nonlinear state time-varying delay systems subject to input nonlinearities

被引：104
|
作者：
Boulkroune, A. [1 ]
M'Saad, M. [2 ]
Farza, M. [2 ]
机构：
[1] Univ Jijel, Fac Engn Sci, Dept Automat, Ouledaissa 18000, Jijel, Algeria
[2] Univ Caen, CNRS, UMR 6072, GREYC,ENSICAEN, F-14050 Caen, France
来源：
FUZZY SETS AND SYSTEMS | 2011年 / 164卷 / 01期
关键词：
Adaptive control; Variable-structure control; Fuzzy system; MIMO nonlinear systems; Time-delay; Sector nonlinearity; Dead-zone; SLIDING-MODE CONTROL; TRACKING CONTROL; NEURAL-CONTROL; MIMO SYSTEMS; STABILITY; DESIGN;
D O I：
10.1016/j.fss.2010.09.001
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In this paper, an adaptive fuzzy variable-structure controller is investigated for a class of uncertain multi-input multi-output (MIMO) nonlinear time-delay systems with both sector nonlinearities and dead-zones. A decomposition property of the control-gain matrix is fully exploited in the controller design and the stability analysis. The unknown time-varying delay uncertainties are compensated for using an appropriate Lyapunov-Krasovskii functional. The boundedness of all signals of the closed-loop system as well as the exponential convergence of the underlying tracking errors to an adjustable region are established. The effectiveness of the proposed fuzzy adaptive controller is illustrated throughout simulation results. (C) 2010 Elsevier B.V. All rights reserved.
引用
收藏
页码：45 / 65
页数：21
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