Robust decentralized adaptive fuzzy control for a class of large-scale MIMO nonlinear systems

被引：15
|
作者：
Huang, Yi-Shao [1 ,2 ]
机构：
[1] Changsha Univ Sci & Technol, Sch Traff & Transportat Engn, Changsha 410004, Hunan, Peoples R China
[2] Cent S Univ, Sch Informat Sci & Engn, Changsha 410083, Hunan, Peoples R China
来源：
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL | 2012年 / 22卷 / 15期
基金：
中国博士后科学基金; 中国国家自然科学基金;
关键词：
large-scale nonlinear systems; robust adaptive control; fuzzy control; decentralized control; controller singularity; OUTPUT-FEEDBACK STABILIZATION; TRACKING CONTROL;
D O I：
10.1002/rnc.1780
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, a novel decentralized robust adaptive fuzzy control scheme is proposed for a class of large-scale multiple-input multiple-output uncertain nonlinear systems. By virtue of fuzzy logic systems and the regularized inverse matrix, the decentralized robust indirect adaptive fuzzy controller is developed such that the controller singularity problem is addressed under a united design framework; no a priori knowledge of the bounds on lumped uncertainties are being required. The closed-loop large-scale system is proved to be asymptotically stable. Simulation results confirmed the validity of the approach presented. Copyright (C) 2011 John Wiley & Sons, Ltd.
引用
收藏
页码：1720 / 1742
页数：23
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