Probabilistic consensus in Markovian multi-agent networks

Paolo Bolzern, Davide Cerotti, Patrizio Colaneri, Marco Gribaudo

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Abstract

This paper addresses the probabilistic consensus problem in a network of Markovian agents. The dynamics of each agent ismodeled as a finite-state Markov chain, with transition rates that are affected by the communication with the neighbors, so inducing an emulation effect. Consensus is reached when all the agent probability vectors converge to a common steady-state probability vector. The main result of the paper is the proof of consensus for communication networks described by either a complete graph or a star-topology graph. These results are also important in a network control perspective, as some parameters of the network model could be used as tuning knobs to steer the steady-state consensus wherever desired.

Lingua originaleInglese
Titolo della pubblicazione ospite2014 European Control Conference, ECC 2014
EditoreInstitute of Electrical and Electronics Engineers Inc.
Pagine558-563
Numero di pagine6
ISBN (elettronico)9783952426913
DOI
Stato di pubblicazionePubblicato - 22 lug 2014
Pubblicato esternamente
Evento13th European Control Conference, ECC 2014 - Strasbourg, France
Durata: 24 giu 201427 giu 2014

Serie di pubblicazioni

Nome2014 European Control Conference, ECC 2014

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???event.eventtypes.event.conference???13th European Control Conference, ECC 2014
Paese/TerritorioFrance
CittàStrasbourg
Periodo24/06/1427/06/14

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