• DocumentCode
    818018
  • Title

    Discrete Kalman filtering using a generalized companion form

  • Author

    Luo, Z. ; Bullock, T.E.

  • Author_Institution
    University of Florida, Gainesville, Florida, USA
  • Volume
    20
  • Issue
    2
  • fYear
    1975
  • fDate
    4/1/1975 12:00:00 AM
  • Firstpage
    227
  • Lastpage
    230
  • Abstract
    For an n th-order constant system with p outputs, this short paper shows that the Kalman filter gain can be described by np -p(p - 1)/ 2 difference equations instead of the usual n(n + 1)/2 difference equations. This is the minimum number of difference equations required for the solution of the Kalman filter gain. For the special case of stationary processes, this short paper further shows that only np-p(p - 1)/2 combinations of the system noise covariance enter into determination of the Kalman filter gain. The results have application in filtering and in the quadratic regulator problems.
  • Keywords
    Companion matrices; Kalman filtering; Linear systems, stochastic discrete-time; State estimation; Covariance matrix; Difference equations; Feedback; Filtering; Kalman filters; Observability; Random variables; Regulators; Riccati equations; Stochastic systems;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/TAC.1975.1100893
  • Filename
    1100893