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
收藏
页码：242 / 248
页数：7
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