• DocumentCode
    2021222
  • Title

    Minimal state space realization for transfer functions represented by coefficients using generalized orthonormal basis

  • Author

    Szabo, Zoltan ; Bokor, Jozsef

  • Author_Institution
    Comput. & Autom. Inst., Hungarian Acad. of Sci., Budapest, Hungary
  • Volume
    1
  • fYear
    1997
  • fDate
    10-12 Dec 1997
  • Firstpage
    169
  • Abstract
    Given the expansion coefficients γlk of a rational transfer function G in a generalized orthonormal basis generated by an inner function m, one can construct a state space representation starting from the balanced realization of m, but that representation is not minimal-even in the SISO case-in general. Therefore one needs an algorithm to construct a minimal representation. This paper gives a generalization of the celebrated Ho-Kalman algorithm that provides the desired minimal representation
  • Keywords
    identification; matrix algebra; realisation theory; state-space methods; transfer functions; Ho-Kalman algorithm; balanced realization; generalized orthonormal basis; minimal representation; minimal state space realization; rational transfer function; state space representation; Approximation error; Automation; Fourier series; Frequency domain analysis; Noise generators; Noise measurement; Robust control; State-space methods; System identification; Transfer functions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1997., Proceedings of the 36th IEEE Conference on
  • Conference_Location
    San Diego, CA
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-4187-2
  • Type

    conf

  • DOI
    10.1109/CDC.1997.650609
  • Filename
    650609