Iterative Learning Control — Algorithms, Applications and Future Research Directions

Eric Rogers; Bing Chu; Kevin Moore; Tom Oomen; Ying Tan

doi:10.1109/CDC56724.2024.10886288

Iterative Learning Control — Algorithms, Applications and Future Research Directions

Eric Rogers, Bing Chu, Kevin Moore, Tom Oomen, Ying Tan

Team Jan-Willem van Wingerden

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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Abstract

This paper gives a tutorial on iterative learning control nearly five decades after what is widely regarded as the first substantive paper in the literature. The focus is on algorithm development under a number of general headings (linear, optimization, frequency domain, and nonlinear), together with supporting experimental validation/industrial applications and also applications in healthcare.

Original language	English
Title of host publication	Proceedings of the IEEE 63rd Conference on Decision and Control, CDC 2024
Publisher	IEEE
Pages	2252-2268
Number of pages	17
ISBN (Electronic)	979-8-3503-1633-9
DOIs	https://doi.org/10.1109/CDC56724.2024.10886288
Publication status	Published - 2025
Event	63rd IEEE Conference on Decision and Control, CDC 2024 - Milan, Italy Duration: 16 Dec 2024 → 19 Dec 2024

Publication series

Name	Proceedings of the IEEE Conference on Decision and Control
ISSN (Print)	0743-1546
ISSN (Electronic)	2576-2370

Conference

Conference	63rd IEEE Conference on Decision and Control, CDC 2024
Country/Territory	Italy
City	Milan
Period	16/12/24 → 19/12/24

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.

Keywords

Frequency-domain analysis
Tutorials
Medical services
Optimization
Iterative learning control

Access to Document

10.1109/CDC56724.2024.10886288

Iterative_Learning_Control__Algorithms_Applications_and_Future_Research_DirectionsFinal published version, 0.99 MB

Cite this

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title = "Iterative Learning Control — Algorithms, Applications and Future Research Directions",

abstract = "This paper gives a tutorial on iterative learning control nearly five decades after what is widely regarded as the first substantive paper in the literature. The focus is on algorithm development under a number of general headings (linear, optimization, frequency domain, and nonlinear), together with supporting experimental validation/industrial applications and also applications in healthcare.",

keywords = "Frequency-domain analysis, Tutorials, Medical services, Optimization, Iterative learning control",

author = "Eric Rogers and Bing Chu and Kevin Moore and Tom Oomen and Ying Tan",

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.; 63rd IEEE Conference on Decision and Control, CDC 2024 ; Conference date: 16-12-2024 Through 19-12-2024",

year = "2025",

doi = "10.1109/CDC56724.2024.10886288",

language = "English",

series = "Proceedings of the IEEE Conference on Decision and Control",

publisher = "IEEE",

pages = "2252--2268",

booktitle = "Proceedings of the IEEE 63rd Conference on Decision and Control, CDC 2024",

address = "United States",

}

Rogers, E, Chu, B, Moore, K, Oomen, T & Tan, Y 2025, Iterative Learning Control — Algorithms, Applications and Future Research Directions. in Proceedings of the IEEE 63rd Conference on Decision and Control, CDC 2024. Proceedings of the IEEE Conference on Decision and Control, IEEE, pp. 2252-2268, 63rd IEEE Conference on Decision and Control, CDC 2024, Milan, Italy, 16/12/24. https://doi.org/10.1109/CDC56724.2024.10886288

Iterative Learning Control — Algorithms, Applications and Future Research Directions. / Rogers, Eric; Chu, Bing; Moore, Kevin et al.
Proceedings of the IEEE 63rd Conference on Decision and Control, CDC 2024. IEEE, 2025. p. 2252-2268 (Proceedings of the IEEE Conference on Decision and Control).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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Iterative Learning Control — Algorithms, Applications and Future Research Directions

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Keywords

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