• DocumentCode
    3082082
  • Title

    Hankel model reduction without balancing-A descriptor approach

  • Author

    Safonov, M.G. ; Chiang, R.Y. ; Limebeer, D.J.N.

  • Author_Institution
    University of Southern California, Los Angeles, CA
  • Volume
    26
  • fYear
    1987
  • fDate
    9-11 Dec. 1987
  • Firstpage
    112
  • Lastpage
    117
  • Abstract
    A basis-free descriptor system representation is shown to facilitate the computation of all minimum-degree and optimal kth order all-pass extensions and Hankel-norm approximates. The descriptor representation has the same simple form for both the optimal and for the suboptimal minimunl degree cases. The method eliminates the need for the potentially ill-conditioned calculation of a minimal balanced, or partially balanced, realization of the system to be reduced. A simple, numerically sound method based on singular-value decomposition enables the results to be expressed in state-space form. A listing of PC-MATLAB code which implements the algorithm can be found in authors´ program LINF.
  • Keywords
    Approximation algorithms; Approximation methods; Computer languages; Educational institutions; Equations; Mathematical model; Reduced order systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1987. 26th IEEE Conference on
  • Conference_Location
    Los Angeles, California, USA
  • Type

    conf

  • DOI
    10.1109/CDC.1987.272701
  • Filename
    4049233