• DocumentCode
    1141013
  • Title

    Connection between the three-block generalized Riccati equation and the standard Riccati equation

  • Author

    Darouach, M. ; Zasadzinski, M. ; Bassong-Onana, A.

  • Author_Institution
    CRAN-EARAL-CNRS UA 821, Nancy I Univ., France
  • Volume
    39
  • Issue
    8
  • fYear
    1994
  • fDate
    8/1/1994 12:00:00 AM
  • Firstpage
    1755
  • Lastpage
    1758
  • Abstract
    Nikoukhah et al. (1992) developed a maximum likelihood descriptor Kalman filter the properties of which are governed by a three-block generalized Riccati difference equation (GRDE). The convergence of this GRDE has been studied and the generalization of the eigenvector approach to solving the associated generalized algebraic Riccati equation has been carried out. In this paper, the authors connect the GRDE to the standard Riccati equation to point out Nikoukhah´s results from well-known results obtained in standard Kalman filtering. Moreover, while the previous study provides only sufficient conditions on the convergence and stability of the three-block descriptor Kalman filter, the relationship established herein allows the authors to derive necessary and sufficient conditions. In addition, several descriptor Kalman filtering problems can be treated as in the standard case
  • Keywords
    Kalman filters; algebra; convergence; difference equations; filtering and prediction theory; stability; convergence; difference equation; eigenvector approach; maximum likelihood descriptor Kalman filter; necessary conditions; stability; standard Riccati equation; sufficient conditions; three-block descriptor Kalman filter; three-block generalized Riccati equation; Control theory; Convergence; Difference equations; Filtering; Gaussian noise; Integrated circuit noise; Kalman filters; Riccati equations; Stability; Sufficient conditions;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/9.310068
  • Filename
    310068