| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 720588 | IFAC Proceedings Volumes | 2007 | 6 Pages |
Abstract
A Bayes-theorem-based interpretation of the Kalman filter is used to define the best choice of parameters in a nonlinear-in-parameters model, which is dynamic and linear in input and state.
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
