Skip to Main content Skip to Navigation
Journal articles

Predictor-based sampled-data exponential stabilization through continuous–discrete observers

Abstract : The problem of stabilizing a linear continuous-time system with discrete-time measurements and a sampled input with a pointwise constant delay is considered. In a first part, we design a continuous-discrete observer which converges when the maximum time interval between two consecutive measurements is sufficiently small. In a second part, we construct a dynamic output feedback by using 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 and an ISS property with respect to additive disturbances is established.
Document type :
Journal articles
Complete list of metadata

Cited literature [27 references]  Display  Hide  Download
Contributor : Frederic Mazenc Connect in order to contact the contributor
Submitted on : Wednesday, December 23, 2015 - 3:29:37 PM
Last modification on : Saturday, May 1, 2021 - 3:46:37 AM
Long-term archiving on: : Thursday, March 24, 2016 - 12:51:15 PM


Files produced by the author(s)



Frédéric Mazenc, Emilia Fridman. Predictor-based sampled-data exponential stabilization through continuous–discrete observers. Automatica, Elsevier, 2016, 63, pp.7. ⟨10.1016/j.automatica.2015.10.016⟩. ⟨hal-01248072⟩



Les métriques sont temporairement indisponibles