• DocumentCode
    2827977
  • Title

    Introduction to MORE: A MOdel REduction toolbox

  • Author

    Poussot-Vassal, C. ; Vuillemin, P.

  • Author_Institution
    Onera - The French Aerosp. Lab., Toulouse, France
  • fYear
    2012
  • fDate
    3-5 Oct. 2012
  • Firstpage
    776
  • Lastpage
    781
  • Abstract
    In many highly technological engineering fields, the use of dedicated computer-based dynamical system modeling software often leads to large dimensional Linear Time Invariant (LTI) models. These kind of models, composed of a large amount of variables might render drastically inefficient many analysis, control design and optimization techniques. As a matter of fact, considerable attention has been devoted to the development of model reduction - or approximation - techniques to eliminate irrelevant state variables. This paper presents a new freely-available MATLAB©-based toolbox for approximation of medium and large-scale LTI dynamical models, called MORE (MOdel REduction), which implements a collection of very recent advanced algorithms for LTI dynamical model reduction purpose.
  • Keywords
    control engineering computing; control system synthesis; linear systems; optimisation; reduced order systems; LTI dynamical model; MORE; Matlab@based toolbox; approximation technique; computer-based dynamical system modeling software; control system design; linear time invariant; model reduction; optimization; Computational modeling; Interpolation; MATLAB; MIMO; Mathematical model; Reduced order systems; Matlab toolbox; large-scale linear dynamical systems; model reduction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Applications (CCA), 2012 IEEE International Conference on
  • Conference_Location
    Dubrovnik
  • ISSN
    1085-1992
  • Print_ISBN
    978-1-4673-4503-3
  • Electronic_ISBN
    1085-1992
  • Type

    conf

  • DOI
    10.1109/CCA.2012.6402441
  • Filename
    6402441