• DocumentCode
    2565474
  • Title

    A probabilistic robustness result for a multilinearly parameterized H∞ norm

  • Author

    Barmish, B. Ross

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Wisconsin Univ., Madison, WI, USA
  • Volume
    5
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    3309
  • Abstract
    The main result in the paper addresses probabilistic robustness for a multilinearly parameterized H∞ norm involving uncertain parameters. For the prescribed class of admissible probability density functions ℱ for the uncertain parameters, the main result is as follows: All moments of the random H∞ norm are maximized over f ε ℱ by taking f to be the uniform distribution
  • Keywords
    H∞ control; probability; robust control; transfer function matrices; admissible probability density functions; multilinearly parameterized H∞ norm; probabilistic robustness; uncertain parameters; uniform distribution; Density functional theory; Feedback; Matrix decomposition; Monte Carlo methods; Probability density function; Probability distribution; Robust control; Robustness; Transfer functions; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2000. Proceedings of the 2000
  • Conference_Location
    Chicago, IL
  • ISSN
    0743-1619
  • Print_ISBN
    0-7803-5519-9
  • Type

    conf

  • DOI
    10.1109/ACC.2000.879177
  • Filename
    879177
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2565474