Event-triggered and quantized self-triggered control for multi-agent systems based on relative state measurements

被引:10
|
作者
Dai, Ming-Zhe [1 ]
Xiao, Feng [2 ]
Wei, Bo [2 ]
机构
[1] Harbin Inst Technol, Res Inst Intelligent Control & Syst, Harbin 150001, Heilongjiang, Peoples R China
[2] North China Elect Power Univ, Sch Control & Comp Engn, Beijing 102206, Peoples R China
基金
中国国家自然科学基金;
关键词
SAMPLED-DATA CONSENSUS; COOPERATIVE CONTROL; EDGE-EVENT; NETWORKS; SYNCHRONIZATION; NONUNIFORM; TOPOLOGY;
D O I
10.1016/j.jfranklin.2019.01.049
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 studies the consensus problem of multi-agent systems by event-and self-triggered control. An event-triggered algorithm with periodic event detection and relative state measurements is designed to determine all event times. Furthermore, a self-triggered control algorithm with periodic event detection and quantization is proposed to further reduce resource consumption. In the proposed control strategies, only relative state information, or called edge information, is utilized by controllers, and all edge state information incident to each agent is processed together. The results are illustrated by two numerical experiments. (C) 2019 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:3711 / 3732
页数:22
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