State estimation and diagnosis of uncertain systems based on an interval approach - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2010

State estimation and diagnosis of uncertain systems based on an interval approach

Benoît Marx
José Ragot

Résumé

This paper deals with state estimation and fault detection in the presence of unknown but bounded state pertur- bations and measurement noise. In this context, most available results are for linear models. Based on interval analysis, a state estimator for nonlinear dynamical systems is presented. Given the perturbation and noise bounds, the proposed method evaluates a set estimate guaranteed to contain all values of the state that are consistent with the available observations. The estimator is then used to regime shift detection. A numerical example is given.
Fichier principal
Vignette du fichier
Marx_SysTol_10.pdf (206.66 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-00525124 , version 1 (11-04-2014)

Identifiants

Citer

Benoît Marx, Didier Maquin, José Ragot. State estimation and diagnosis of uncertain systems based on an interval approach. Conference on Control and Fault-Tolerant Systems, SysTol'10, Oct 2010, Nice, France. pp.CDROM, ⟨10.1109/SYSTOL.2010.5676036⟩. ⟨hal-00525124⟩
79 Consultations
148 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More