| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 720715 | IFAC Proceedings Volumes | 2007 | 6 Pages |
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.
Keywords
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
Authors
Kenji Ikeda, Yoshio Mogami, Takao Shimomura,