Distributed moving horizon estimation with pre-estimating observer - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2020

Distributed moving horizon estimation with pre-estimating observer

Résumé

This paper proposes a new Distributed Moving Horizon Estimation (DMHE) algorithm for state estimation of a discrete-time linear system by a sensor network. The main contribution consists in using a pre-estimating Luenberger observer in the formulation of the local problem to be solved by each sensor. This results in a significant reduction of the computation time while preserving at the same time the accuracy of the estimates. The state estimate computed by each sensor is capable to converge even under weak observability conditions. Comparison with existing approaches is proposed through a simulation example, for both centralized and distributed cases, in terms of estimation accuracy and computation time.
Fichier principal
Vignette du fichier
Paper_ICSTCC_2020__Final_version.pdf (480.11 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-02972554 , version 1 (20-10-2020)

Identifiants

Citer

Antonello Venturino, Sylvain Bertrand, Cristina Stoica Maniu, Teodoro Alamo, Eduardo Fernandez Camacho. Distributed moving horizon estimation with pre-estimating observer. 24th International Conference on System Theory, Control and Computing (ICSTCC 2020), Oct 2020, Sinaia, Romania. ⟨10.1109/icstcc50638.2020.9259766⟩. ⟨hal-02972554⟩
78 Consultations
101 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More