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Distributed estimation based on multi-hop subspace decomposition

dc.contributor.authorRodríguez Del Nozal, Álvaro 
dc.contributor.authorMillán Gata, Pablo 
dc.contributor.authorOrihuela Espina, Diego Luis 
dc.contributor.authorSeuret, Alexandre
dc.contributor.authorZaccarian, Luca
dc.date.accessioned2023-10-10T11:28:41Z
dc.date.available2023-10-10T11:28:41Z
dc.date.issued2019-01
dc.identifier.citationAutomatica 2019, 99, 213-220es
dc.identifier.issn0005-1098
dc.identifier.urihttps://hdl.handle.net/20.500.12412/4359
dc.description.abstractThis paper deals with the problem of distributedly estimating the state of an LTI plant through an interconnected network of agents. The proposed approach results in an observer structure that incorporates consensus among the agents and that can be distributedly designed, achieving a robust solution with a good estimation performance. The developed solution is based on an iterative decomposition of the plant in the local observable staircase forms. The proposed observer has several positive features compared to recent results in the literature, which include milder assumptions on the network connectivity and the ability to set the convergence rate.es
dc.language.isoenges
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleDistributed estimation based on multi-hop subspace decompositiones
dc.typearticlees
dc.identifier.doi10.1016/j.automatica.2018.10.034
dc.journal.titleAutomaticaes
dc.page.initial213es
dc.page.final220es
dc.rights.accessRightsopenAccesses
dc.subject.keywordDistributed Estimationes
dc.subject.keywordMulti agent systemses
dc.subject.keywordTime invariant systemses
dc.subject.keywordLinear systemses
dc.volume.number99es


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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internacional