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