Impulsive consensus of multi-agent systems with stochastically switching topologies

被引：34

作者：

Zhang, He ^{[1
]}

Ji, Huihui ^{[2
]}

Ye, Zhiyong ^{[3
]}

Tian Senping ^{[4
]}

Zhang, Hua ^{[3
,5
]}

Li, Chenlong ^{[6
]}

机构：

[1] Nanjing Univ Sci & Technol, Sch Automat, Nanjing 210094, Jiangsu, Peoples R China

[2] Jiangnan Univ, Sch Internet Things Engn, Wuxi 214122, Peoples R China

[3] Chongqing Univ Technol, Inst Math & Stat, Chongqing 400054, Peoples R China

[4] South China Univ Technol, Sch Automat Sci & Engn, Guangzhou 510640, Guangdong, Peoples R China

[5] Tongren Coll, Dept Math & Comp Sci, Tongren 554300, Peoples R China

[6] Tianjin Univ, Sch Sci, Tianjin 300072, Peoples R China

来源：

NONLINEAR ANALYSIS-HYBRID SYSTEMS | 2017年 / 26卷

基金：

中国国家自然科学基金;

关键词：

Stochastically switching structures; Markov process; Independent process; Impulsive multi-agent; Almost sure consensus; CONTINUOUS-TIME; NONLINEAR DYNAMICS; AVERAGE CONSENSUS; COMPLEX NETWORKS; CHAOTIC SYSTEMS; SYNCHRONIZATION; COMMUNICATION; COORDINATION; COOPERATION; NOISES;

D O I：

10.1016/j.nahs.2017.06.001

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 impulsive consensus problem for multi-agent systems is investigated. The purpose of this paper is to provide a valid consensus protocol that overcomes the difficulty caused by stochastically switching structures via impulsive control. Some sufficient conditions of almost sure consensus are proposed when the switching structures are the independent process or the Markov process. It is shown that the sum-zero rows of matrix play a key role in achieving group consensus. Furthermore, simulation examples are provided to illustrate and visualize the effectiveness of these results. (C) 2017 Elsevier Ltd. All rights reserved.

引用

页码：212 / 224

页数：13

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