A GENERAL FRAMEWORK FOR CONSENSUS NETWORKS

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dc.contributor.advisorBaras, John
dc.contributor.authorSomarakis, Christoforos
dc.date.accessioned2015-03-11T14:07:23Z
dc.date.available2015-03-11T14:07:23Z
dc.date.issued2015-03-10
dc.description.abstractA new framework for the analysis of consensus networks is developed. The theory consists of necessary and sufficient conditions and it is flexible enough to comprise a variety of consensus systems. Under mild connectivity assumptions, the discussion ranges from linear, nonlinear, ordinary, functional and leader-follower models. The establishment of explicit estimates on the rate of convergence is the central objective. Our work extends and unifies past related works in the literature. Illustrative examples and simulations are presented to outline the theoretical results.en_US
dc.description.sponsorshipUS AFOSR MURI grant FA9550-09-1-0538, NSF grant CNS-1035655, NIST grant 70NANB11H148en_US
dc.identifierhttps://doi.org/10.13016/M2WK77
dc.identifier.urihttp://hdl.handle.net/1903/16324
dc.relation.isAvailableAtInstitute for Systems Researchen_us
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_us
dc.relation.isAvailableAtUniversity of Maryland (College Park, MD)en_us
dc.relation.ispartofseriesISR;TR_2015-02
dc.subjectDistributed Consensusen_US
dc.subjectLinear and Nonlinear Networksen_US
dc.subjectTime-Varying Delaysen_US
dc.subjectRate of Convergenceen_US
dc.titleA GENERAL FRAMEWORK FOR CONSENSUS NETWORKSen_US
dc.typeOtheren_US

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