Model reduction of a class of discrete-time nonlinear systems

  • S. Ibrir*
  • , M. Bettayeb
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

This paper considers the problem of model reduction of a class of discrete-time systems subject to Lipschitzian nonlinearities. It is shown that under some conditions the nonlinear system can be either approximated by a discrete-time linear time-invariant system or a nonlinear system of reduced order. The computation of the matrices of the reduced-order system is carried out through the solutions of a set of linear matrix inequalities. The proposed design is approved by the simulation of reduced-order dynamics of a mass-spring system subject to a nonlinear friction and a linear electric circuit with uncertain parameters.

Original languageEnglish
Pages (from-to)78-93
Number of pages16
JournalApplied Mathematics and Computation
Volume250
DOIs
StatePublished - 1 Jan 2015

Bibliographical note

Publisher Copyright:
© 2014 Elsevier Inc. All rights reserved.

Keywords

  • Convex optimization
  • Discrete nonlinear systems
  • Linear Matrix Inequalities (LMIs)
  • Model reduction

ASJC Scopus subject areas

  • Computational Mathematics
  • Applied Mathematics

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