Predictor-based sampled-data stabilization via continuous-discrete observers

Frédéric Mazenc 1 Emilia Fridman 2
1 DISCO - Dynamical Interconnected Systems in COmplex Environments
L2S - Laboratoire des signaux et systèmes, Inria Saclay - Ile de France, SUPELEC, CNRS - Centre National de la Recherche Scientifique : UMR8506
Abstract : We consider a stabilization problem for a continuous-time linear system with discrete-time measurements and a sampled input with a pointwise constant delay. In a first step, we construct a continuous-discrete observer which converges when the maximum time interval between two consecutive measurements is sufficiently small. In a second step, we construct a dynamic output feedback through a technique which is strongly reminiscent of the reduction model approach. It stabilizes the system when the maximal time between two consecutive sampling instants is sufficiently small. No limitation on the size of the delay is imposed.
Type de document :
Communication dans un congrès
53rd IEEE Annual Conference on Decision and Control (CDC 2014), Dec 2014, Los Angeles, United States. 〈10.1109/cdc.2014.7039630 〉
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https://hal.inria.fr/hal-01088241
Contributeur : Frederic Mazenc <>
Soumis le : jeudi 27 novembre 2014 - 17:01:02
Dernière modification le : jeudi 26 avril 2018 - 15:09:34

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Frédéric Mazenc, Emilia Fridman. Predictor-based sampled-data stabilization via continuous-discrete observers. 53rd IEEE Annual Conference on Decision and Control (CDC 2014), Dec 2014, Los Angeles, United States. 〈10.1109/cdc.2014.7039630 〉. 〈hal-01088241〉

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