• DocumentCode
    489919
  • Title

    Model validation and parameter identification for systems in H and l1

  • Author

    Smith, Roy S.

  • Author_Institution
    Electrical & Computer Eng. Dept., University of California, Santa Barbara, CA 93106, USA
  • fYear
    1992
  • fDate
    24-26 June 1992
  • Firstpage
    2852
  • Lastpage
    2856
  • Abstract
    Robust control models contain unknown perturbations with assumed bounds. Modeling of systems in a robust framework requires a means of estimating such bounds. One can begin to address this problem by studying model validation - is there a perturbation and an unknown disturbance, fitting the assumptions of the model, that accounts for the experimental observation? This paper discusses this problem for systems modeled as members of H or l1. The assumptions of these design frameworks are significantly different, giving very different implications for the model validation problem. Model validation can also give an approach to parameter identification in robust control models. Again the consequences of the usual assumptions of each framework are discussed.
  • Keywords
    Additive noise; Design methodology; Pain; Parameter estimation; Performance analysis; Robust control; Robust stability; Robustness; Strontium; Transfer functions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 1992
  • Conference_Location
    Chicago, IL, USA
  • Print_ISBN
    0-7803-0210-9
  • Type

    conf

  • Filename
    4792663