• DocumentCode
    164987
  • Title

    Improved fractional Kalman filter for variable order systems

  • Author

    Ziubinski, Pawel ; Sierociuk, Dominik

  • Author_Institution
    Inst. of Control & Ind. Electron., Warsaw Univ. of Technol., Warsaw, Poland
  • fYear
    2014
  • fDate
    23-25 June 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper presents generalization of the Improved Fractional Kalman Filter (ExFKF) for variable order discrete state-space systems. This generalization based on a linear discrete fractional variable order state-space system rewritten into a restricted infinite dimensional form. In order to demonstrate the effectiveness of the proposed algorithms, results of numerical experiments are presented. Proposed algorithm is compared with Variable Order Fractional Kalman Filter algorithm. More over, a special case when constant order Kalman Filter algorithm is used for estimation of variable order system is also studied. Results are compared in terms of estimation and smoothing actions.
  • Keywords
    Kalman filters; ExFKF; improved fractional Kalman filter; linear discrete fractional variable order state-space system; restricted infinite dimensional form; smoothing actions; Estimation error; Kalman filters; Noise; Signal processing algorithms; Smoothing methods; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fractional Differentiation and Its Applications (ICFDA), 2014 International Conference on
  • Conference_Location
    Catania
  • Type

    conf

  • DOI
    10.1109/ICFDA.2014.6967454
  • Filename
    6967454