Título Distributed estimation based on multi-hop subspace decomposition
Autores RODRÍGUEZ DEL NOZAL, ÁLVARO, MILLÁN GATA, PABLO, ORIHUELA ESPINA, DIEGO LUIS, Seuret, Alexandre, Zaccarian, Luca, MILLÁN GATA, PABLO, ORIHUELA ESPINA, DIEGO LUIS, RODRÍGUEZ DEL NOZAL, ÁLVARO
Publicación externa No
Medio Automatica
Alcance Article
Naturaleza Científica
Cuartil JCR 1
Cuartil SJR 1
Impacto JCR 5.54100
Ámbito Internacional
Web https://www.scopus.com/inward/record.uri?eid=2-s2.0-85056214499&doi=10.1016%2fj.automatica.2018.10.034&partnerID=40&md5=ece712a213d688839fbef122b79673ca
Fecha de publicacion 01/01/2019
ISI 000454965300024
Scopus Id 2-s2.0-85056214499
DOI 10.1016/j.automatica.2018.10.034
Abstract This 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. (C) 2018 Elsevier Ltd. All rights reserved.
Palabras clave Distributed estimation; Multi-agent systems; Time-invariant systems; Linear systems
Miembros de la Universidad Loyola

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