A Note on Optimal Distributed State Estimation for Linear Time-Varying Systems

Fuente: arXiv
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Autori principali: Perez-Salesa, Irene, Aldana-Lopez, Rodrigo, Sagues, Carlos
Natura: Preprint
Pubblicazione: 2025
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author Perez-Salesa, Irene
Aldana-Lopez, Rodrigo
Sagues, Carlos
author_facet Perez-Salesa, Irene
Aldana-Lopez, Rodrigo
Sagues, Carlos
contents In this technical note, we prove that the ODEFTC algorithm constitutes the first optimal distributed state estimator for continuous-time linear time-varying systems subject to stochastic disturbances. Particularly, we formally show that it is able to asymptotically recover the performance, in terms of error covariance of the estimates at each node, of the centralized Kalman-Bucy filter, which is known to be the optimal filter for the considered class of systems. Moreover, we provide a simple sufficient value for the consensus gain to guarantee the stability of the distributed estimator.
format Preprint
id arxiv_https___arxiv_org_abs_2510_18712
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle A Note on Optimal Distributed State Estimation for Linear Time-Varying Systems
Perez-Salesa, Irene
Aldana-Lopez, Rodrigo
Sagues, Carlos
Optimization and Control
Systems and Control
In this technical note, we prove that the ODEFTC algorithm constitutes the first optimal distributed state estimator for continuous-time linear time-varying systems subject to stochastic disturbances. Particularly, we formally show that it is able to asymptotically recover the performance, in terms of error covariance of the estimates at each node, of the centralized Kalman-Bucy filter, which is known to be the optimal filter for the considered class of systems. Moreover, we provide a simple sufficient value for the consensus gain to guarantee the stability of the distributed estimator.
title A Note on Optimal Distributed State Estimation for Linear Time-Varying Systems
topic Optimization and Control
Systems and Control
url https://arxiv.org/abs/2510.18712