Decentralized adaptive tracking control for a class of interconnected nonlinear systems with input quantization

被引：139

作者：

Wang, Chenliang ^{[1
]}

Wen, Changyun ^{[2
]}

Lin, Yan ^{[1
]}

Wang, Wei ^{[1
]}

机构：

[1] Beihang Univ, Sch Automat Sci & Elect Engn, Beijing 100191, Peoples R China

[2] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore

来源：

AUTOMATICA | 2017年 / 81卷

基金：

中国国家自然科学基金;

关键词：

Quantization; Adaptive control; Interconnected systems; Decentralized control; Backstepping; SECTOR BOUND APPROACH; LARGE-SCALE SYSTEMS; OUTPUT-FEEDBACK; LINEAR-SYSTEMS; STABILIZATION; DESIGN; SIGNAL;

D O I：

10.1016/j.automatica.2017.03.010

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 decentralized output-feedback adaptive control scheme is proposed for a class of interconnected nonlinear systems with input quantization. Both logarithmic quantizers and improved hysteretic quantizers are studied, and a linear time-varying model is introduced to handle the difficulty caused by quantization. The proposed scheme allows the parameters of the quantizers to be freely changed during operation, and can guarantee global stability of the overall closed-loop system regardless of the coarseness of the quantizers and the existence of interactions among subsystems. Moreover, with the aid of a kind of high-gain K-filters, it is shown that all tracking errors converge to a residual set which can be made arbitrarily small by adjusting some design parameters. Simulation results are presented to illustrate the effectiveness of the proposed scheme. (C) 2017 Elsevier Ltd. All rights reserved.

引用

页码：359 / 368

页数：10

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