Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications
Online ISSN : 2188-4749
Print ISSN : 2188-4730
The 49th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (Nov. 2017, HIROSHIMA)
An Averaging Consensus Algorithm and Its Stopping Rule over Noisy Undirected Networks of MIMO Linear Symmetric Agents
Kenta HanadaTakayuki WadaIzumi MasubuchiToru AsaiYasumasa Fujisaki
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2018 Volume 2018 Pages 46-49

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Abstract
A stochastic averaging consensus algorithm is considered for a multi-agent system over a noisy undirected network with multi-input/multi-output (MIMO) linear symmetric agents. The convergence of the algorithm is investigated, which gives an explicit relation between the number of iterations and the closeness of the agreement, i.e., a stopping rule. The result is illustrated through a numerical example.
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© 2018 ISCIE Symposium on Stochastic Systems Theory and Its Applications
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