• DocumentCode
    489348
  • Title

    Uncertainty Principles and Identification n-Widths for LTI and Slowly Varying Systems

  • Author

    Lin, Lin ; Wang, Le Yi ; Zames, George

  • Author_Institution
    Department of Electrical Engineering, McGill University, 3480 University Street, Montreal. Que., Canada H3A 2A7
  • fYear
    1992
  • fDate
    24-26 June 1992
  • Firstpage
    296
  • Lastpage
    300
  • Abstract
    In the identification of LTI systems, the optimal worst-case uncertainty depends on the observation time. This dependence is characterized via two notions of n-width, which are computed in the l1 and H¿ norms. The results are then applied to systems in which the law governing the evolution of the uncertain elements is not time invariant. Such systems can not be identified accurately. The inherent uncertainty is bounded in the case of slow time variation.
  • Keywords
    Adaptive control; Control systems; Kernel; Linear algebra; Linear systems; Time varying systems; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 1992
  • Conference_Location
    Chicago, IL, USA
  • Print_ISBN
    0-7803-0210-9
  • Type

    conf

  • Filename
    4792075