Observability and measurement allocation analysis for networked systems

Taha Boukhobza (1) , Frédéric Hamelin (1)

1 CRAN - Centre de Recherche en Automatique de Nancy

This paper deals with the strong state observability analysis for Networked Systems which are composed of interconnected subsystems that exchange data over communication networks. More precisely, we interest to determine which data or measurements must arrive via the network to a subsystem in order to ensure that a local observer can estimate its state vector. The proposed approach is based on a graph-theoretic approach and assumes only the knowledge of the system's structure. It is suited to study large scale distributed systems because based on classical and well-known graph theory algorithms, which have polynomial complexity orders.

Mots clés: Networked Systems; strong state observability; measurements allocation; graph theory

Domaines: Automatique / Robotique

Taha Boukhobza, Frédéric Hamelin. Observability and measurement allocation analysis for networked systems. 1st IFAC Workshop on Estimation and Control of Networked Systems, NecSys'09, Sep 2009, Venise, Italy. pp.108-113. ⟨hal-00422113⟩