State estimation of linear systems in the presence of sporadic measurements

Francesco Ferrante (1) , Frédéric Gouaisbaut (1) , Ricardo Sanfelice (2) , Sophie Tarbouriech (1)

1 LAAS-MAC - Équipe Méthodes et Algorithmes en Commande
2 Department of Aerospace and Mechanical Engineering

This paper deals with the state estimation of linear time-invariant systems for which measurements of the output are available sporadically. To solve the considered problem, we provide an observer with jumps triggered by incoming measurements, which is studied in a hybrid systems framework. Specifically, the resulting system is written in estimation error coordinates and augmented with a timer variable that triggers the event of new measurements arriving. Then, the observer design is performed to achieve global exponential stability (GES) of a closed set including the points for which the state of the plant and its estimate coincide. Furthermore, a computationally tractable design procedure for the proposed observer is presented. Finally, the effectiveness of the proposed methods is demonstrated in two numerical examples.

Domaines: Automatique

Francesco Ferrante, Frédéric Gouaisbaut, Ricardo Sanfelice, Sophie Tarbouriech. State estimation of linear systems in the presence of sporadic measurements. Automatica, 2016, 73, pp.101-109. ⟨10.1016/j.automatica.2016.05.032⟩. ⟨hal-01767295⟩