DocumentCode
3463665
Title
Three tanks level estimation using Divided Difference Filters
Author
Salhi, Hassen ; Bouani, Faouzi ; Ksouri, Moufida
Author_Institution
Anal. & Control of Syst. Unit Res., Fac. of Sci. of Tunis, Tunis, Tunisia
fYear
2011
fDate
3-5 March 2011
Firstpage
1
Lastpage
6
Abstract
This paper deals with state estimation of nonlinear systems using Divided Difference Filters (DDF) which are derivate-free Kalman filtering approach. The performances in convergence, robustness and numerical stability of DDF, in state estimation of nonlinear systems are illustrated by an application to a three-tank system. The DDF are easy to implement because they require only the state and the output models and no partial derivatives are looked-for.
Keywords
Kalman filters; nonlinear systems; numerical stability; state estimation; derivate-free Kalman filtering approach; divided difference filters; nonlinear systems; numerical stability; state estimation; three tanks level estimation; three-tank system; Covariance matrix; Estimation; Interpolation; Kalman filters; Noise measurement; Roundoff errors; Divided Difference Filters; Extended Kalman Filter; Nonlinear state estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, Computing and Control Applications (CCCA), 2011 International Conference on
Conference_Location
Hammamet
Print_ISBN
978-1-4244-9795-9
Type
conf
DOI
10.1109/CCCA.2011.6031200
Filename
6031200
Link To Document