Backstepping Design for Output Feedback Stabilization for a Class of Uncertain Systems using Dynamic Extension

Frederic Mazenc, Laurent Burlion, Michael Malisoff

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

We revisit the backstepping approach. We show how bounded globally asymptotically stabilizing output feedbacks can be constructed for a family of nonlinear systems. The approach relies on the introduction of a dynamic extension and a converging-input-converging-state assumption. The technique presents several advantages. It provides control laws whose expressions are simple. It makes it possible to stabilize systems in the presence of certain types of uncertain terms which prevent the use of the classical backstepping technique. It applies in notable cases where only part of the state variable is measured.

Original languageEnglish (US)
Pages (from-to)260-265
Number of pages6
Journal2nd IFAC Conference on Modelling, Identification and Control of Nonlinear Systems MICNON 2018: Guadalajara, Jalisco, Mexico, 20-22 June 2018
Volume51
Issue number13
DOIs
StatePublished - Jan 1 2018
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering

Keywords

  • backstepping
  • nonlinear
  • output feedback
  • stabilization

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