• DocumentCode
    2020990
  • Title

    Algorithms for robust identification in H with nonuniformly spaced frequency response data

  • Author

    Akcay, Huseyin

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Newcastle Univ., NSW
  • Volume
    1
  • fYear
    1997
  • fDate
    10-12 Dec 1997
  • Firstpage
    151
  • Abstract
    In this paper, first a two-stage robustly convergent identification algorithm in H, for nonuniformly spaced data is proposed. The worst-case error of the algorithm converges to zero faster than polynomial rates in the noise-free case when the identified system is an exponentially stable discrete-time system. The algorithm is characterized by a rational interpolation step with fixed poles at 0 and infinity. Next, a minimax algorithm with better convergence properties is introduced
  • Keywords
    asymptotic stability; convergence of numerical methods; discrete time systems; frequency response; identification; interpolation; convergence properties; exponentially stable discrete-time system; minimax algorithm; nonuniformly spaced frequency response data; rational interpolation; robust identification; two-stage robustly convergent identification algorithm; worst-case error; Convergence; Frequency measurement; Frequency response; Interpolation; Iterative algorithms; Noise measurement; Noise robustness; Particle measurements; Polynomials; System identification;
  • 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.1997.650606
  • Filename
    650606