| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 722226 | IFAC Proceedings Volumes | 2006 | 6 Pages |
Abstract
We propose an estimation method for an errors-in-variables model with unknown input and output noise variances. The main assumption that allows identifiability of the model is clustering of the data into two clusters that are distinct in a certain specified sense. We show an application of the proposed method for system identification.
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
