Iterative Learning Control — Algorithms, Applications and Future Research Directions

Eric Rogers; Bing Chu; Kevin  Moore; Tom A.E. Oomen; Ying Tan

Iterative Learning Control — Algorithms, Applications and Future Research Directions

Eric Rogers, Bing Chu, Kevin Moore, Tom A.E. Oomen, Ying Tan

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › 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 algo- rithm 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 63nd IEEE Conference on Decision and Control, Milan, Italy, 2024
Publisher	Institute of Electrical and Electronics Engineers
Publication status	Accepted/In press - 2024
Event	63rd IEEE Annual Conference on Decision and Control, CDC 2024 - Milan, Italy Duration: 16 Dec 2024 → 19 Dec 2024

Conference

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

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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 algo- rithm 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.",

author = "Eric Rogers and Bing Chu and Kevin Moore and Oomen, {Tom A.E.} and Ying Tan",

year = "2024",

language = "English",

booktitle = "Proceedings of the 63nd IEEE Conference on Decision and Control, Milan, Italy, 2024",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

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

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Iterative Learning Control — Algorithms, Applications and Future Research Directions. / Rogers, Eric; Chu, Bing; Moore, Kevin et al.
Proceedings of the 63nd IEEE Conference on Decision and Control, Milan, Italy, 2024 . Institute of Electrical and Electronics Engineers, 2024.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Iterative Learning Control — Algorithms, Applications and Future Research Directions

AU - Rogers, Eric

AU - Chu, Bing

AU - Moore, Kevin

AU - Oomen, Tom A.E.

AU - Tan, Ying

PY - 2024

Y1 - 2024

N2 - 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 algo- rithm 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.

AB - 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 algo- rithm 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.

M3 - Conference contribution

BT - Proceedings of the 63nd IEEE Conference on Decision and Control, Milan, Italy, 2024

PB - Institute of Electrical and Electronics Engineers

T2 - 63rd IEEE Annual Conference on Decision and Control, CDC 2024

Y2 - 16 December 2024 through 19 December 2024

ER -

Iterative Learning Control — Algorithms, Applications and Future Research Directions

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