Reduced Order Fast Converging Observer for Systems with Discrete Measurements - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2021

Reduced Order Fast Converging Observer for Systems with Discrete Measurements

Michael Maliso
  • Function : Author
  • PersonId : 1116956
Zhong-Ping Jiang
  • Function : Author
  • PersonId : 1091209

Abstract

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.
Fichier principal
Vignette du fichier
2Dec2019ZPJMTNS20.pdf (461.51 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

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

Identifiers

  • HAL Id : hal-03431239 , version 1

Cite

Frederic Mazenc, Michael Maliso, Zhong-Ping Jiang. Reduced Order Fast Converging Observer for Systems with Discrete Measurements. MTNS 2021 - International Symposium on Mathematical Theory of Networks and Systems, Aug 2021, Cambridge, United Kingdom. ⟨hal-03431239⟩
13 View
45 Download

Share

Gmail Facebook X LinkedIn More