• DocumentCode
    2100440
  • Title

    Stochastic and deterministic estimation in H∞

  • Author

    Ninness, Brett Martin

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Newcastle Univ., NSW, Australia
  • fYear
    1993
  • fDate
    15-17 Dec 1993
  • Firstpage
    62
  • Abstract
    Examines linear estimation schemes that use plant frequency response measurements. The author examines how the effect of model order influences the accuracy of the estimates under stochastic and deterministic noise assumptions. This leads to model order selection schemes that minimise hard or probabilistic error bounds. The author also conducts a simulation experiment that suggests that estimation based on conducting sine wave experiments should only be done if there is no other alternative
  • Keywords
    error statistics; frequency response; parameter estimation; probability; simulation; H∞; deterministic estimation; frequency response; hard error bounds; linear estimation schemes; model order; noise; probabilistic error bounds; simulation experiment; sine wave experiments; stochastic estimation; Algorithm design and analysis; Frequency estimation; Frequency response; Jacobian matrices; Least squares methods; Pathology; Robust control; Robustness; Stochastic processes; Stochastic resonance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1993., Proceedings of the 32nd IEEE Conference on
  • Conference_Location
    San Antonio, TX
  • Print_ISBN
    0-7803-1298-8
  • Type

    conf

  • DOI
    10.1109/CDC.1993.325189
  • Filename
    325189
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2100440