Iterative Robust Experiment Design for MIMO System Identification via the S-Lemma

Nic Dirkx*, Koen Tiels, Tom Oomen

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

1 Citation (Scopus)
23 Downloads (Pure)

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 languageEnglish
Title of host publicationProceedings of the 2023 IEEE Conference on Control Technology and Applications, CCTA 2023
PublisherIEEE
Pages998-1003
ISBN (Electronic)979-8-3503-3544-6
DOIs
Publication statusPublished - 2023
Event2023 IEEE Conference on Control Technology and Applications, CCTA 2023 - Bridgetown, Barbados
Duration: 16 Aug 202318 Aug 2023

Conference

Conference2023 IEEE Conference on Control Technology and Applications, CCTA 2023
Country/TerritoryBarbados
CityBridgetown
Period16/08/2318/08/23

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-care
Otherwise 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.

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