• DocumentCode
    439079
  • Title

    Probabilistic model validation problems with H type uncertainties

  • Author

    Liu, Wenguo ; Chen, Jie

  • Author_Institution
    Dept. of Electr. Eng., California Univ., Riverside, CA, USA
  • fYear
    2005
  • fDate
    8-10 June 2005
  • Firstpage
    1539
  • Abstract
    A mixed deterministic/probabilistic model validation problem is investigated in this paper, which consists in an additive uncertain model with uncertainty characterized by the H norm, and time-domain experimental data corrupted by a Gaussian noise sequence. Our aim is to compute the probability for such an uncertain model to be invalidated by the data, and our main results are bounds on this probability that are computable based on the statistics of chi-square random variables.
  • Keywords
    Gaussian noise; H control; deterministic algorithms; probability; time-domain analysis; uncertain systems; Gaussian noise sequence; H type uncertainties; additive uncertain model; chi-square random variables; deterministic model; probabilistic model validation; time-domain experimental data; Additive noise; Data engineering; Gaussian noise; Measurement uncertainty; Noise measurement; Probability; Random variables; Statistics; System identification; Time domain analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2005. Proceedings of the 2005
  • ISSN
    0743-1619
  • Print_ISBN
    0-7803-9098-9
  • Electronic_ISBN
    0743-1619
  • Type

    conf

  • DOI
    10.1109/ACC.2005.1470186
  • Filename
    1470186