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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
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.
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https://hal.inria.fr/hal-01088241
Contributor : Frederic Mazenc <>
Submitted on : Thursday, November 27, 2014 - 5:01:02 PM
Last modification on : Thursday, July 9, 2020 - 4:08:02 PM

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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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