A sampled-data observer with time-varying gain for a class of nonlinear systems with sampled-measurements

Tarek Ahmed-Ali, Laurent Burlion, Françoise Lamnabhi-Lagarrigue, Cheikh Hann

Research output: Contribution to journalConference articlepeer-review

4 Scopus citations

Abstract

In this paper a new exponential observer for a class of nonlinear systems with sampled measurements is presented. This observer uses a time-varying gain, which is solution of an ordinary differential equation between two sampling instants. The proposed algorithm can be viewed as a generalization of the observer developed in [1]. The exponential convergence of the proposed observer is proved by using small gain arguments and a bound of the maximum allowable sampling period is provided. Performances of our observer and comparisons with existing observers are also presented.

Original languageEnglish (US)
Article number7039400
Pages (from-to)316-321
Number of pages6
JournalProceedings of the IEEE Conference on Decision and Control
Volume2015-February
Issue numberFebruary
DOIs
StatePublished - 2014
Externally publishedYes
Event2014 53rd IEEE Annual Conference on Decision and Control, CDC 2014 - Los Angeles, United States
Duration: Dec 15 2014Dec 17 2014

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Modeling and Simulation
  • Control and Optimization

Keywords

  • Impulsive systems
  • Nonlinear observers
  • Sampled measurements
  • Small gain theorem

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