Abstract
The bias-eliminating least squares (BELS) method is one of the consistent estimators for identifying dynamic errors-in-variables systems. In this paper, we investigate the accuracy properties of the BELS estimates. An explicit expression for the normalized asymptotic covariance matrix of the estimated parameters is derived and supported by some numerical examples.
| Original language | English |
|---|---|
| Pages (from-to) | 1590-1596 |
| Number of pages | 7 |
| Journal | Automatica |
| Volume | 43 |
| Issue number | 9 |
| DOIs | |
| Publication status | Published - Sept 2007 |
Keywords
- accuracy
- bias-eliminating least squares (BELS)
- errors-in-variables
- parameter identification
- system identification