• DocumentCode
    3568902
  • Title

    Worst-case asymptotic properties of linear algorithms for H∞ identification

  • Author

    Chen, Jie ; Gu, Guoxiang

  • Author_Institution
    Coll. of Eng., California Univ., Riverside, CA, USA
  • Volume
    5
  • fYear
    1999
  • fDate
    6/21/1905 12:00:00 AM
  • Firstpage
    5314
  • Abstract
    This paper considers asymptotic properties for linear algorithms in H∞ identification. The divergence of linear algorithms is characterized for H∞ identification in both time and frequency domain. The sample complexity issue is also investigated. The results of this paper complement the existing results for linear algorithms in H∞ identification
  • Keywords
    H∞ optimisation; frequency-domain analysis; identification; time-domain analysis; H∞ identification; frequency-domain identification; linear algorithm divergence; time-domain identification; worst-case asymptotic properties; Algorithm design and analysis; Convergence; Ear; Frequency domain analysis; Frequency measurement; Robust control; System identification; Transfer functions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1999. Proceedings of the 38th IEEE Conference on
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-5250-5
  • Type

    conf

  • DOI
    10.1109/CDC.1999.833400
  • Filename
    833400
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3568902