• DocumentCode
    2405755
  • Title

    On line H2, H∞ and pointwise uncertainty bound quantification in identification of restricted complexity models

  • Author

    Bai, Er-Wei ; Raman, Sundar

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Iowa Univ., IA, USA
  • fYear
    1992
  • fDate
    1992
  • Firstpage
    1719
  • Abstract
    The authors consider the problem of online uncertainty bound quantification in identification of restricted complexity models. The algorithms presented provide a hard and tight upper bound on the unknown model uncertainty in H2, H∞, and pointwise senses. The algorithms proposed are simple, online, and recursive. This allows robust control and adaptive identification to be combined
  • Keywords
    adaptive control; control system synthesis; identification; modelling; optimal control; stability; H∞-quantification; H2-quantification; Laguerre coefficients; adaptive identification; algorithms; identification; online uncertainty bound quantification; plant identifier; pointwise uncertainty; recursive method; restricted complexity models; robust control; unknown model uncertainty; upper bound; Adaptive control; Algorithm design and analysis; Convergence; Equations; H infinity control; Hydrogen; Programmable control; Robust control; Uncertainty; Upper bound;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1992., Proceedings of the 31st IEEE Conference on
  • Conference_Location
    Tucson, AZ
  • Print_ISBN
    0-7803-0872-7
  • Type

    conf

  • DOI
    10.1109/CDC.1992.371133
  • Filename
    371133
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2405755