Transactions of the Institute of Systems, Control and Information Engineers
Online ISSN : 2185-811X
Print ISSN : 1342-5668
ISSN-L : 1342-5668
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Stochastic Consensus over Time-Varying Networks of Linear Symmetric Agents
Kenta HanadaTakayuki WadaIzumi MasubuchiToru AsaiYasumasa Fujisaki
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JOURNALS OPEN ACCESS

2018 Volume 31 Issue 1 Pages 28-35

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Abstract

Multi-agent systems over noisy networks with linear symmetric agents are considered. The topology of the network which defines the availability of communication among the agents is assumed to be a directed, weakly connected and balanced graph or an undirected and connected one. Furthermore, the communication graph is allowed to be time varying. The aim of this study is to establish a stochastic averaging consensus algorithm under a noisy environment for each time-varying network. The convergence analysis of the proposed algorithms reveals an explicit relation between the number of iterations and the closeness of the agreement, which gives a stopping rule for the consensus algorithm. The results are illustrated through numerical examples.

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© 2018 The Institute of Systems, Control and Information Engineers
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