• DocumentCode
    629917
  • Title

    Expansion of MIMO ARX model on Laguerre orthonormal bases

  • Author

    El Anes, Amani ; Bouzrara, Kais ; Garna, Tarek ; Messaoud, Hassani

  • Author_Institution
    Unite de Rech. Autom. Traitement de signal et Image (ATSI), Univ. de Monastir, Monastir, Tunisia
  • fYear
    2013
  • fDate
    21-23 March 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper, we propose a new dynamic linear MIMO system representation by using discrete-time MIMO AutoRegressive with eXogenous input (ARX) model. To provide a reduced complexity model, each polynomial function of the MIMO ARX model associated to the inputs and to the outputs is expanded on independent Laguerre orthonormal basis to develop a new black-box linear MIMO ARX-Laguerre model. This reduction is ensured once the poles characterising each Laguerre orthonormal basis are set to their optimal values. Simulation results show the effectiveness of the proposed modeling method.
  • Keywords
    MIMO communication; autoregressive processes; communication complexity; optimisation; polynomials; Laguerre orthonormal bases; MIMO ARX model; black-box linear MIMO ARX-Laguerre model; discrete-time MIMO autoregressive; dynamic linear MIMO system representation; exogenous input model; optimal values; polynomial function; reduced complexity model; Atmospheric modeling; Biological system modeling; Complexity theory; MIMO; Mathematical model; Polynomials; Vectors; Independent Laguerre basis; MIMO ARX model; MIMO ARX-Laguerre model; Pole optimisation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Engineering and Software Applications (ICEESA), 2013 International Conference on
  • Conference_Location
    Hammamet
  • Print_ISBN
    978-1-4673-6302-0
  • Type

    conf

  • DOI
    10.1109/ICEESA.2013.6578403
  • Filename
    6578403