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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Donkers, T. van de Wijdeven, J. Bosgra, O. |
| Copyright Year | 2008 |
| Description | Author affiliation: Dept. of Mech. Eng., Eindhoven Univ. of Technol., Eindhoven (Donkers, T.; van de Wijdeven, J.; Bosgra, O.) |
| Abstract | In this paper, we study MIMO Iterative Learning Control (ILC) and its robustness against model uncertainty. Although it is argued that, so-called, norm optimal ILC controllers have some inherent robustness, not many results are available that can make quantitative statements about the allowable model uncertainty. In this paper, we derive sufficient conditions for robust convergence of the ILC algorithm in presence of an uncertain system with an additive uncertainty bound. These conditions are applied to norm optimal ILC, resulting in guidelines for robust controller design. Theoretical results are illustrated by simulations. |
| Starting Page | 4561 |
| Ending Page | 4566 |
| File Size | 476744 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424420780 |
| ISSN | 07431619 |
| DOI | 10.1109/ACC.2008.4587214 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-06-11 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | American Automatic Control Council(AACC) |
| Subject Keyword | Robust control Uncertainty Optimal control Convergence Frequency domain analysis Robustness Control system synthesis Signal synthesis Sufficient conditions Control systems |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering |
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