• DocumentCode
    1732724
  • Title

    Unifying robustness analysis and system ID

  • Author

    Doyle, John ; Newlin, Matthew ; Paganini, Fernando ; Tierno, Jorge

  • Author_Institution
    California Inst. of Technol., Pasadena, CA, USA
  • Volume
    4
  • fYear
    1994
  • Firstpage
    3667
  • Abstract
    A unified systems analysis framework is presented, which includes conventional robustness analysis, model validation, and system identification as special cases and thus shows them to be instances of the same fundamental problem. A concrete version of this framework is developed for the linear case, based on a generalized structured singular value. This unification forms the basis for the use of common computational tools and and a more natural interplay between modeling, identification, and robustness analysis
  • Keywords
    identification; modelling; stability; uncertain systems; model validation; robustness analysis; structured singular value; system identification; uncertain systems; unification; Concrete; Control theory; Ear; Equations; Feedback; Robust control; Robust stability; Robustness; System identification; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1994., Proceedings of the 33rd IEEE Conference on
  • Conference_Location
    Lake Buena Vista, FL
  • Print_ISBN
    0-7803-1968-0
  • Type

    conf

  • DOI
    10.1109/CDC.1994.411725
  • Filename
    411725