• DocumentCode
    3074072
  • Title

    State model estimation for Kalman filter applications using regression techniques

  • Author

    Eagle, Paul J. ; Tabrizi, Lili H.

  • Author_Institution
    Detroit Univ., MI, USA
  • fYear
    1990
  • fDate
    5-7 Dec 1990
  • Firstpage
    2900
  • Abstract
    The authors consider a method for applying the Kalman filter to processes by the use of a regression model of the output equation for the system. The regression model can provide a satisfactory method for estimating the underlying dynamics in a system. This dynamical model can be applied to state estimation and filtering techniques for process qualification and other applications
  • Keywords
    Kalman filters; dynamics; filtering and prediction theory; state estimation; Kalman filter; dynamics; filtering techniques; regression model; state estimation; Analytical models; Difference equations; Differential equations; Electrical equipment industry; Fault detection; Fault diagnosis; Mechanical engineering; Monitoring; State estimation; Testing;
  • 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.1990.203311
  • Filename
    203311
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3074072