DocumentCode
2454862
Title
Comparative study of simultaneous parameter-state estimations
Author
Yamakita, M. ; Musha, Y. ; Kinoshita, G.
Volume
2
fYear
2004
fDate
2-4 Sept. 2004
Firstpage
1621
Abstract
In industrial applications extended Kalman filter (EKF) has been used and validity of the method is widely accepted. Recently unscented Kalman filter (UKF) was proposed as an alternative method of EKF. A simple numerical simulation showed some advantage of UKF. In this paper UKF is used for simultaneous parameter-state estimation for a plant and characteristics of UKF is investigated. Comparisons of UKF to other methods, adaptive observer and EKF, are also made by numerical simulations.
Keywords
Kalman filters; estimation theory; numerical analysis; observers; adaptive observer; extended Kalman filter; parameter-state estimations; Filters; Guidelines; Least squares approximation; Nonlinear equations; Numerical simulation; Observers; Parameter estimation; Recursive estimation; State estimation; Time invariant systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Applications, 2004. Proceedings of the 2004 IEEE International Conference on
Print_ISBN
0-7803-8633-7
Type
conf
DOI
10.1109/CCA.2004.1387608
Filename
1387608
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