Input and State Observability of Network Systems with a Single Unknown Input

Alain Y. Kibangou 1 Federica Garin 1 Sebin Gracy 1
1 NECS - Networked Controlled Systems
Inria Grenoble - Rhône-Alpes, GIPSA-DA - Département Automatique
Abstract : This paper studies network systems affected by a single unknown input, possibly representing an attack or a failure, to be estimated. The main result is a characterization of input and state observability, namely the conditions under which both the whole network state and the unknown input can be reconstructed from some measured local states. This characterization is in terms of observability of a suitably-defined subsystem, which allows the use of known graphical charactizations of observability of network systems, leading to structural results (true for almost all interaction weights) or strong structural results (true for all non-zero interaction weights). We apply our results to an illustrative example, finding a full characterization of input and state observability of a path graph, affected by a single unknown input and with measurement of a small number of local states.
Type de document :
Communication dans un congrès
6th IFAC Workshop on Distributed Estimation and Control in Networked Systems (NecSys'16), Sep 2016, Tokyo, Japan. Proc. 6th IFAC Workshop on Distributed Estimation and Control in Networked Systems (NecSys), 2016, Proc. 6th IFAC Workshop on Distributed Estimation and Control in Networked Systems (NecSys)
Liste complète des métadonnées


https://hal.inria.fr/hal-01368906
Contributeur : Federica Garin <>
Soumis le : mardi 20 septembre 2016 - 11:32:37
Dernière modification le : vendredi 23 septembre 2016 - 01:02:03

Fichier

NecSys2016-final.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-01368906, version 1

Collections

Citation

Alain Y. Kibangou, Federica Garin, Sebin Gracy. Input and State Observability of Network Systems with a Single Unknown Input. 6th IFAC Workshop on Distributed Estimation and Control in Networked Systems (NecSys'16), Sep 2016, Tokyo, Japan. Proc. 6th IFAC Workshop on Distributed Estimation and Control in Networked Systems (NecSys), 2016, Proc. 6th IFAC Workshop on Distributed Estimation and Control in Networked Systems (NecSys). <hal-01368906>

Partager

Métriques

Consultations de
la notice

246

Téléchargements du document

110