• DocumentCode
    489983
  • Title

    A Linear Robustly Convergent Interpolatory Algorithm For System Identification

  • Author

    Bai, Er-Wei ; Raman, Sundar

  • Author_Institution
    Dept. of Elec. & Comp. Engg., Univ. of Iowa, Iowa City, IA 52242
  • fYear
    1992
  • fDate
    24-26 June 1992
  • Firstpage
    3165
  • Lastpage
    3169
  • Abstract
    This paper presents a linear, robustly convergent interpolatory algorithm for system identification in the presence of bounded noise. The proposed algorithm converges to the actual, but unknown system in frequency domain in the noise free case and maintains the robust convergence result in the face of bounded noise. This robustness property distinguishes the proposed linear algorithm from other existing linear schemes.
  • Keywords
    Convergence; Frequency estimation; Interpolation; Lagrangian functions; Noise robustness; Polynomials; Robust control; System identification; Tellurium; Tin;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 1992
  • Conference_Location
    Chicago, IL, USA
  • Print_ISBN
    0-7803-0210-9
  • Type

    conf

  • Filename
    4792732
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=489983