Conference paper
Estimation of Model Uncertainties in Closed-loop Systems
Automation, Department of Electrical Engineering, Technical University of Denmark1
Department of Electrical Engineering, Technical University of Denmark2
Mathematical Statistics, Department of Informatics and Mathematical Modeling, Technical University of Denmark3
Department of Informatics and Mathematical Modeling, Technical University of Denmark4
This paper describe a method for estimation of parameters or uncertainties in closed-loop systems. The method is based on an application of the dual YJBK (after Youla, Jabr, Bongiorno and Kucera) parameterization of all systems stabilized by a given controller. The dual YJBK transfer function is a measure for the variation in the system seen through the feedback controller.
It is shown that it is possible to isolate a certain number of parameters or uncertain blocks in the system exactly. This is obtained by modifying the feedback controller through the YJBK transfer function together with pre- and post-filters. The estimation is then derived using standard methods.
| Language: | English |
|---|---|
| Publisher: | American Control Conference |
| Year: | 2008 |
| Pages: | 5186-5191 |
| Proceedings: | Estimation of Model Uncertainties in Closed-loop Systems |
| ISBN: | 1424420784 , 9781424420780 , 1424420792 and 9781424420797 |
| ISSN: | 23785861 and 07431619 |
| Types: | Conference paper |
| DOI: | 10.1109/ACC.2008.4587318 |
| ORCIDs: | Niemann, Hans Henrik and Poulsen, Niels Kjølstad |
Adaptive control Automatic control Automation Control systems Frequency Informatics Parameter estimation Robust control Transfer functions Uncertainty closed-loop systems feedback feedback controller model uncertainties estimation parameter estimation robust control transfer function transfer functions
