State estimation of linear systems in the presence of sporadic measurements - Archive ouverte HAL
Article Dans Une Revue Automatica Année : 2016

State estimation of linear systems in the presence of sporadic measurements

Résumé

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

Dates et versions

hal-01767295 , version 1 (16-04-2018)

Identifiants

Citer

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⟩
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