Event-triggered decentralized output-feedback control for interconnected nonlinear systems with input quantization

被引：26
|
作者：
Wang, Cai-Cheng [1 ]
Yang, Guang-Hong [1 ,2 ]
机构：
[1] Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110819, Liaoning, Peoples R China
[2] Northeastern Univ, State Key Lab Synthet Automat Proc Ind, Shenyang 110819, Liaoning, Peoples R China
来源：
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS | 2019年 / 356卷 / 13期
基金：
中国国家自然科学基金;
关键词：
LARGE-SCALE SYSTEMS; TRACKING CONTROL; DESIGN;
D O I：
10.1016/j.jfranklin.2019.06.012
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, the event-triggered decentralized control problem for interconnected nonlinear systems with input quantization is investigated. A state observer is constructed to estimate the unmeasurable states, and the state-dependent interconnections are accommodated by presenting some smooth functions. Then by employing backstepping technique and neural networks (NNs) approximation capability, a novel decentralized output feedback control strategy and an event-triggered mechanism are designed simultaneously. It is proved through Lyapunov theory that the closed-loop system is stable and the tracking property of all subsystems is guaranteed. Finally, the effectiveness of the proposed scheme is illustrated by an example. (C) 2019 Published by Elsevier Ltd on behalf of The Franklin Institute.
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页码：7028 / 7048
页数：21
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