• DocumentCode
    3082123
  • Title

    Integration of observations in a hybrid system

  • Author

    Sworder, D.D. ; Clapp, G.A.

  • Author_Institution
    California Univ., San Diego, La Jolla, CA, USA
  • fYear
    1990
  • fDate
    5-7 Dec 1990
  • Firstpage
    1379
  • Abstract
    Calculation of the conditional mean of the state of a hybrid system requires the solution to a nonlinear filtering problem. It is shown that, under certain natural assumptions on the measurement structure, the requisite algorithm can be phrased in terms of a set of stochastic differential equations of fixed dimension. The estimation algorithm is closed insofar as no moments need be computed that are not specified therein
  • Keywords
    differential equations; filtering and prediction theory; state estimation; stochastic systems; estimation algorithm; hybrid system; nonlinear filtering; observations; state estimation; stochastic differential equations; Additive noise; Differential equations; Filtration; Humans; Image recognition; Power system dynamics; Power system modeling; State estimation; Stochastic processes; Wideband;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1990., Proceedings of the 29th IEEE Conference on
  • Conference_Location
    Honolulu, HI
  • Type

    conf

  • DOI
    10.1109/CDC.1990.203834
  • Filename
    203834