Continuous and discrete state estimation for switched LPV systems using parameter identification

Héctor Ríos, Diego Mincarelli, Denis Efimov, Wilfrid Perruquetti, Jorge Davila

Research output: Contribution to journalArticlepeer-review

32 Scopus citations

Abstract

In this paper the problem of discrete and continuous state estimation for a class of uncertain switched LPV systems is addressed. Parameter identification techniques are applied to realize an approximate identification of the scheduled parameters of a switched LPV system with certain uncertainties and/or disturbances. A discrete state estimation is achieved using the parameter identification. A Luenberger-like hybrid observer, based on discrete state information and LMIs approach, is used for the continuous state estimation. The simplicity of the proposed method is one of the main advantages of this paper. The feasibility of the proposed method is illustrated by simulations.

Original languageEnglish
Pages (from-to)139-147
Number of pages9
JournalAutomatica
Volume62
DOIs
StatePublished - Dec 2015
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2015 Elsevier Ltd.

Keywords

  • LPV systems
  • State estimation
  • Switched systems

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