Paper Info
Title
Bias-compensated adaptive observer for a continuous-time model estimation.
Abstract
In this paper, a bias-compensating method for a continuous-time model estimation by using adaptive observer is proposed. It is assumed that the observation noise is a white Gaussinan signal while there are no process noises. The proposed method is applicable for the identification in the closed loop environment.
Year
DOI
Venue
2007
10.3182/20070829-3-RU-4911.00008
IFAC Proceedings Volumes
Keywords
DocType
Volume
Continuous-time systems,Parameter estimation,Closed loop systems,Bias compensation,Adaptive filters
Conference
40
Issue
ISSN
Citations 
13
1474-6670
0
PageRank 
References 
Authors
0.34
2
3
Name
Order
Citations
PageRank
Kenji Ikeda100.34
Yoshio Mogami2308.63
Takao Shimomura3337.95