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
Link To Document :
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