Decentralized adaptive tracking control of nonaffine nonlinear large-scale systems with time delays

被引：22

作者：

Mao, Zhi-Zhong ^{[1
]}

Xiao, Xiao-Shi ^{[1
]}

机构：

[1] Northeastern Univ, Automat Inst, Coll Informat Sci & Engn, Shenyang 110819, Liaoning, Peoples R China

来源：

INFORMATION SCIENCES | 2011年 / 181卷 / 23期

关键词：

Decentralized control; Adaptive fuzzy control; Large-scale systems; Nonaffine nonlinear systems; Time delay; INTERCONNECTED SYSTEMS; CONTROL DESIGN; FUZZY CONTROL; EXPONENTIAL STABILIZATION; STATE-FEEDBACK; ROBUST-CONTROL; STABILITY;

D O I：

10.1016/j.ins.2011.07.017

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper addresses the problem of decentralized tracking control of large-scale systems with uncertain nonaffine nonlinear isolated subsystems and nonlinear interconnections with time-varying delays. Based on Lyapunov-Krasovskii functional approach and implicit function theorem, a delay-independent decentralized tracking controller is proposed. Due to functional approximation capability of fuzzy logic systems (FLS), neither strict structure restrictions on the isolated subsystems nor a priori knowledge of the strong interconnections with time-varying delays is required in our control design. Furthermore, transient performance of the resulting closed-loop system is also addressed under an analytical framework. Finally, two numerical examples are provided to show the effectiveness of the proposed controller. (C) 2011 Elsevier Inc. All rights reserved.

引用

页码：5291 / 5303

页数：13

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