Consensus analysis for multi-agent systems via periodic event-triggered algorithms with quantized information

被引：4

作者：

Zhang, Hong-Xiao ^{[1
,2
]}

Hu, Ping ^{[1
,2
]}

Liu, Zhi-Wei ^{[1
,2
]}

Ding, Li ^{[1
,2
]}

机构：

[1] Wuhan Univ, Sch Power & Mech Engn, Dept Automat, Wuhan 430072, Hubei, Peoples R China

[2] Wuhan Univ, Minist Educ, Key Lab Hydraul Machinery Transients, Wuhan, Hubei, Peoples R China

来源：

JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS | 2017年 / 354卷 / 14期

基金：

中国国家自然科学基金;

关键词：

RELATIVE STATE MEASUREMENTS; IMPULSIVE CONTROL; LINEAR-SYSTEMS; COMMUNICATION; TRANSMISSION; NETWORKS; STRATEGY; AGENTS;

D O I：

10.1016/j.jfranklin.2017.08.003

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 article, a novel distributed event-triggered control protocol for the consensus of second-order multi-agent systems with undirected topology is studied. Based on the proposed control protocol, the event-triggered condition is evaluated only at every sampling instant. The control input for each agent will be updated with local information if and only if its condition is violated. Both ideal and quantized relative state measurements are considered under this framework. Some sufficient conditions for achieving consensus are derived using spectral properties of edge Laplacian matrix and the discrete-time Lyapunov function method. Finally, numerical examples are given to demonstrate the effectiveness of our theoretical results. (C) 2017 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.

引用

页码：6364 / 6380

页数：17

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