Título Distributed consensus-based Kalman filtering considering subspace decomposition
Autores RODRÍGUEZ DEL NOZAL, ÁLVARO, ORIHUELA ESPINA, DIEGO LUIS, MILLÁN GATA, PABLO, MILLÁN GATA, PABLO, ORIHUELA ESPINA, DIEGO LUIS, RODRÍGUEZ DEL NOZAL, ÁLVARO
Publicación externa No
Medio IFAC PAPERSONLINE
Alcance Proceedings Paper
Naturaleza Científica
Cuartil SJR 3
Impacto SJR 0.26000
Ámbito Internacional
Web https://www.scopus.com/inward/record.uri?eid=2-s2.0-85031814875&doi=10.1016%2fj.ifacol.2017.08.443&partnerID=40&md5=f0b2c66f6219f34a03aa055f7f84f411
Fecha de publicacion 01/01/2017
ISI 000423845200402
Scopus Id 2-s2.0-85031814875
DOI 10.10164/j.ifaco1.2017.08.443
Abstract The aim of this paper is to provide a new observer structure able to deal with the distributed estimation of a discrete-time linear system from a network of agents. The main result is an innovative consensus-based structure that decompose the state in the observable and unobservable subspace of the agent using the observability staircase form. The paper proposes a design in which Kalman-like gains are synthetized to minimize the variance of the error on both subspaces. Finally some simulations are shown to compare the proposed estimator with centralized Kalman filter and other distributed schemes found in literture. (C) 2017, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
Palabras clave Estimation and filtering; Distributed control and estimation; Sensor networks
Miembros de la Universidad Loyola

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