Abstract
Optimal input design plays an important role in system identification for complex and multivariable systems. A known paradox in input design is that the optimal inputs depend on the true but unknown system. The aim of this paper is to design inputs for multivariable systems that are robust to all system variations within a given continuous uncertainty set. In the presented approach, the robust design problem is cast as an infinite-dimensional min-max optimization problem, and tackled via the S-lemma in an iterative approximation scheme. Experimental results from a multivariable motion system show that the algorithm enables significant robustness improvements.
Original language | English |
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Title of host publication | Proceedings of the 2023 IEEE Conference on Control Technology and Applications, CCTA 2023 |
Publisher | IEEE |
Pages | 998-1003 |
ISBN (Electronic) | 979-8-3503-3544-6 |
DOIs | |
Publication status | Published - 2023 |
Event | 2023 IEEE Conference on Control Technology and Applications, CCTA 2023 - Bridgetown, Barbados Duration: 16 Aug 2023 → 18 Aug 2023 |
Conference
Conference | 2023 IEEE Conference on Control Technology and Applications, CCTA 2023 |
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Country/Territory | Barbados |
City | Bridgetown |
Period | 16/08/23 → 18/08/23 |
Bibliographical note
Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-careOtherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.