Strong Structural Input and State Observability of LTV Network Systems with Multiple Unknown Inputs - Université Grenoble Alpes Accéder directement au contenu
Communication Dans Un Congrès Année : 2017

Strong Structural Input and State Observability of LTV Network Systems with Multiple Unknown Inputs

Sebin Gracy
  • Fonction : Auteur
  • PersonId : 13383
  • IdHAL : sebin-gracy
Federica Garin
Alain Kibangou

Résumé

This paper studies linear time-varying (LTV) network systems affected by multiple unknown inputs. The goal is to reconstruct both the initial state and the unknown input. The main result is a characterization of strong structural input and state observability, i.e., the conditions under which both the whole network state and the unknown input can be reconstructed for all system matrices that share a common zero/non-zero pattern. This characterization is in terms of strong structural observability of a suitably-defined linear time-invariant (LTI) subsystem.
Fichier principal
Vignette du fichier
ifacv3.2.pdf (218.41 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01507387 , version 1 (13-04-2017)

Identifiants

  • HAL Id : hal-01507387 , version 1

Citer

Sebin Gracy, Federica Garin, Alain Kibangou. Strong Structural Input and State Observability of LTV Network Systems with Multiple Unknown Inputs. IFAC WC 2017 - 20th IFAC World Congress, IFAC, Jul 2017, Toulouse, France. pp.7618-7623. ⟨hal-01507387⟩
475 Consultations
413 Téléchargements

Partager

Gmail Facebook X LinkedIn More