Noise-Robust Parameter Estimation Of Linear Systems. JOURNAL OF VIBRATION AND CONTROL, 6. pp. 27-40.
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Abstract
The parameter estimation problem of linear systems from input output measurements, corrupted with nonwhite noise of unknown covariance, is considered. Under this realistic situation, the least squares parameters estimation is nown to be biased. In this paper, a recursive parameters stimation algorithm, which is unbiased for a wide class of measurement noise, is developed. Monte Carlo simulation results show the effectiveness of the developed parameters' estimator and its superiority over the least squares-based estimator.
| Item Type: | Article |
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| Subjects: | Systems |
| Department: | College of Computing and Mathematics > lndustrial and Systems Engineering |
| Depositing User: | SYED AMEENUDDIN HUSSAIN |
| Date Deposited: | 14 Jun 2008 10:42 |
| Last Modified: | 01 Nov 2019 13:44 |
| URI: | http://eprints.kfupm.edu.sa/id/eprint/2534 |