A new approach to the stability analysis of continuous-time distributed consensus algorithms

被引：9

作者：

Liu, Bo ^{[1
,2
]}

Lu, Wenlian ^{[3
,4
]}

Chen, Tianping ^{[5
]}

机构：

[1] Fudan Univ, Key Lab Nonlinear Math Sci, Sch Math Sci, Shanghai 200433, Peoples R China

[2] Univ Tokyo, Inst Ind Sci, Meguro Ku, Tokyo 1538505, Japan

[3] Fudan Univ, Ctr Computat Syst Biol, Sch Math Sci, Shanghai 200433, Peoples R China

[4] Fudan Univ, Lab Math Nonlinear Sci, Sch Math Sci, Shanghai 200433, Peoples R China

[5] Fudan Univ, Sch Comp Sci, Key Lab Nonlinear Math Sci, Sch Math Sci, Shanghai 200433, Peoples R China

来源：

NEURAL NETWORKS | 2013年 / 46卷

基金：

中国博士后科学基金;

关键词：

Distributed algorithms; Multiagent systems; Consensus; Discontinuous; Switching; Almost sure convergence; SWITCHING TOPOLOGIES; SUFFICIENT CONDITION; NETWORKS; SYNCHRONIZATION; AGENTS;

D O I：

10.1016/j.neunet.2013.06.007

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this letter, we propose a new approach for the stability analysis of distributed continuous-time consensus algorithms in directed networks with time-dependent communication patterns. Instead of using a continuous-time Lyapunov function, we show how to analyze such a continuous-time algorithm by converting it to a discrete-time model. By using this method, we obtain a more general convergence result than existing ones. An example with numerical simulation is also provided to illustrate the theoretical results. (C) 2013 Elsevier Ltd. All rights reserved.

引用

页码：242 / 248

页数：7

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