Título A distributed set-membership estimator for linear systems with reduced computational requirements
Autores IERARDI, CARMELINA, ORIHUELA ESPINA, DIEGO LUIS, JURADO FLORES, ISABEL
Publicación externa No
Medio Automatica
Alcance Article
Naturaleza Científica
Cuartil JCR 1
Cuartil SJR 1
Impacto JCR 6.15000
Impacto SJR 3.79600
Web https://www.scopus.com/inward/record.uri?eid=2-s2.0-85110136326&doi=10.1016%2fj.automatica.2021.109802&partnerID=40&md5=8480b9bab0dce3a2fd3c337978954fa9
Fecha de publicacion 12/10/2021
ISI 000689475700001
Scopus Id 2-s2.0-85110136326
DOI 10.1016/j.automatica.2021.109802
Abstract In this paper, a distributed set-membership estimator for linear full-coupled systems affected by bounded disturbances is presented. The estimator uses a multi-hop staircase decomposition, capturing the locally unobservable subspaces in a cascaded fashion with the information incoming from other agents involved in the network. Each agent has to find different sets for each subspace, that are mathematically described by zonotopes. The observer gains that minimize the size of those sets, i.e. the estimation uncertainty, can be designed in independent distributed steps by means of simple algebraic equations. Simulations are given to compare the proposed solution with others in the field. An important benefit of the proposed structure is the reduction of the computational requirements with respect to existing solutions. © 2021 Elsevier Ltd
Palabras clave Distributed computer systems; Multi agent systems; Bounded disturbances; Computational requirements; Coupled systems; Distributed set-membership estimation; Multi-agents systems; Multi-hop decompositi
Miembros de la Universidad Loyola

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