• DocumentCode
    614743
  • Title

    Arnoldi model reduction for switched linear systems

  • Author

    Kouki, Matsuse ; Abbes, Mehdi ; Mami, Abdelkader

  • Author_Institution
    Lab. of Analyze & Command of Syst., Tunis, Tunisia
  • fYear
    2013
  • fDate
    28-30 April 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper we present a new method of reduction for large-scale switched system, which is an important class of hybrid and non linear systems. In this work, we focus on linear switched systems. This new method is based on the generation of Krylov subspace by the use of the Arnoldi algorithm, which is numerically efficient and applicable for any order, from which we solve the problem of H∞ model reduction. We take one example to evaluate this method.
  • Keywords
    H∞ control; large-scale systems; linear systems; nonlinear systems; reduced order systems; time-varying systems; Arnoldi algorithm; Arnoldi model reduction; H∞ model reduction; Krylov subspace generation; hybrid systems; large-scale switched system; nonlinear systems; switched linear systems; Numerical models; Switches; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Modeling, Simulation and Applied Optimization (ICMSAO), 2013 5th International Conference on
  • Conference_Location
    Hammamet
  • Print_ISBN
    978-1-4673-5812-5
  • Type

    conf

  • DOI
    10.1109/ICMSAO.2013.6552568
  • Filename
    6552568
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=614743