Unknown input reconstruction for LPV systems

Balázs Kulcsár, József Bokor, Josef Shinar

Research output: Contribution to journalArticle

24 Citations (Scopus)

Abstract

Detection and invariant subspaces of unknown inputs' signals for linear parameter-varying systems are examined in the paper. For a class of nonlinear system like this, the effect of unmeasured signals in parameter-varying measurement equation at the plant output is investigated. The main contributions of the paper are the parameter-varying extension of the pseudo-actuation of the possible and generic unknown sensor signal and the proposition of parameter-dependent similarity transformation. The general parameter-varying measurement equation is casted into a parameter-independent form by the similarity transformation, if any. Moreover, it showed that the nonlinear state transformation does not modify the output subspace spanned by the equivalent pseudo-actuator directions. The proposed methods are illustrated by a numerical example.

Original languageEnglish
Pages (from-to)579-595
Number of pages17
JournalInternational Journal of Robust and Nonlinear Control
Volume20
Issue number5
DOIs
Publication statusPublished - Mar 25 2010

Keywords

  • Fault detection filter design
  • Invariant subspaces
  • Linear parameter-varying systems
  • Pseudo-actuation
  • Similarity transformation
  • Unknown input reconstruction

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Chemical Engineering(all)
  • Biomedical Engineering
  • Aerospace Engineering
  • Mechanical Engineering
  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

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