DocumentCode
887603
Title
Discrete adaptive observer with exponential weighting properties
Author
Hong, Yeon-Chan ; Kim, Jong-Hwan ; Choi, Keh-Kun
Author_Institution
Dept. of Electron. Eng., Seoul Nat. Univ., South Korea
Volume
34
Issue
2
fYear
1989
fDate
2/1/1989 12:00:00 AM
Firstpage
229
Lastpage
231
Abstract
An adaptive observer based on the exponentially weighted least-squares method is studied, and a method of selecting the state variable filters is proposed. By this method, all the past measurement data are weighted exponentially both with weighting coefficient and the state variable filters. The proposed scheme guarantees fast convergence and is very stable
Keywords
State estimation; adaptive systems; convergence; discrete systems; filtering and prediction theory; least squares approximations; state estimation; convergence; discrete adaptive observer; exponential weighting; least squares approximations; state estimation; state variable filters; Adaptive control; Adaptive filters; Convergence; Eigenvalues and eigenfunctions; Observers; Parameter estimation; Programmable control; State estimation; State feedback; Vectors;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/9.21108
Filename
21108
Link To Document