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Event-triggered interval-based state estimator for continuous-time linear systems
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DOI：10.1016/j.jfranklin.2022.08.056.png)
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Abstract
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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. (c) 2022 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
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