Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
| Publication date | 2006 |
|---|---|
| Host publication | Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control, 2006 IEEE |
| Place of Publication | New York |
| Publisher | IEEE |
| Pages | 1881-1885 |
| Number of pages | 5 |
| ISBN (print) | 978-0-7803-9795-8 |
| <mark>Original language</mark> | English |
| Event | IEEE International Conference on Control Applications - Munich, Germany Duration: 4/10/2006 → 6/10/2006 |
| Conference | IEEE International Conference on Control Applications |
|---|---|
| Country/Territory | Germany |
| City | Munich |
| Period | 4/10/06 → 6/10/06 |
| Name | IEEE International Conference on Control Applications |
|---|---|
| Publisher | IEEE |
| ISSN (Print) | 1085-1992 |
| Conference | IEEE International Conference on Control Applications |
|---|---|
| Country/Territory | Germany |
| City | Munich |
| Period | 4/10/06 → 6/10/06 |
The aim of this paper is robust identification of a lightly damped flexible beam model with parametric and non-parametric uncertainties. Our approach is based on worst case estimation theory where uncertainties are assumed to be unknown but bounded. We examine different outbounding algorithms (parallelotopic and ellipsoidal) for estimation of the feasible parameter set that has been delivered by the set membership identification algorithm. In order to proper handling with the high magnitude non-parametric uncertainties the proposed methods are compared and it is shown that the combination of set membership approach with model error modeling techniques will result in superior results.