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Article Dans Une Revue Journal of The Franklin Institute Année : 2022

Event-triggered interval-based state estimator for continuous-time linear systems

Résumé

In this paper we propose an interval-based state estimator for continuous-time linear systems with discrete-time measurements using an event-triggered mechanism and an explicit reachability method. An output injection method combined with a state variables permutation procedure are applied to design the robust estimator. In addition, the convergence of the proposed set-membership state estimator and the existence of a lower bound on the inter-event times are shown. Throughout a numerical example, the performance of this estimator are illustrated and compared to related works.

Dates et versions

hal-03779828 , version 1 (18-09-2022)

Licence

Paternité - Pas de modifications

Identifiants

Citer

Nacim Meslem, Djahid Rabehi, Nacim Ramdani. Event-triggered interval-based state estimator for continuous-time linear systems. Journal of The Franklin Institute, 2022, 359 (16), pp.9168-9192. ⟨10.1016/j.jfranklin.2022.08.056⟩. ⟨hal-03779828⟩
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