Reduced Order Fast Converging Observer for Systems with Discrete Measurements - Inria - Institut national de recherche en sciences et technologies du numérique
Communication Dans Un Congrès Année : 2021

Reduced Order Fast Converging Observer for Systems with Discrete Measurements

Michael Maliso
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  • PersonId : 1116956
Zhong-Ping Jiang
  • Fonction : Auteur
  • PersonId : 1091209

Résumé

We study continuous-time nonlinear systems, first in the case where there are continuous output measurements and next in the case where there are only discrete output measurements. When continuous measurements are available, we provide observers that converge in finite time. When only discrete measurements are available, we provide observers that do not converge in finite time, but which do converge asymptotically with a rate of convergence that is proportional to the negative of the logarithm of the size of the sampling interval. We illustrate our results in a pendulum example.

Domaines

Automatique
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Dates et versions

hal-03431239 , version 1 (16-11-2021)

Identifiants

Citer

Frederic Mazenc, Michael Maliso, Zhong-Ping Jiang. Reduced Order Fast Converging Observer for Systems with Discrete Measurements. MTNS 2021 -24th International Symposium on Mathematical Theory of Networks and Systems, Aug 2021, Cambridge, United Kingdom. ⟨10.1016/j.ifacol.2021.06.078⟩. ⟨hal-03431239⟩
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