Sparse iterative learning control (SPILC): when to sample for resource-efficiency?

Tom Oomen; Cristian R. Rojas

doi:10.1109/AMC.2019.8371143

Sparse iterative learning control (SPILC): when to sample for resource-efficiency?

Tom Oomen
, Cristian R. Rojas

Control Systems Technology

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

Samenvatting

Iterative learning control enables the determination of optimal command inputs by learning from measured data of previous tasks. The aim of this paper is to address the negative impact of trial-varying disturbances that contaminate these measurements, both in terms of resource-efficient implementations and performance degradation. The proposed method is an optimal framework for ILC that enforces sparsity and related structure on the command signal. This is achieved through a convex relaxation relying on ℓ₁ regularization. The approach is demonstrated on a benchmark motion system, confirming substantial extensions compared to earlier results.

Originele taal-2	Engels
Titel	Proceedings - 2018 IEEE 15th International Workshop on Advanced Motion Control, AMC 2018
Plaats van productie	Piscataway
Uitgeverij	Institute of Electrical and Electronics Engineers
Pagina's	497-502
Aantal pagina's	6
ISBN van elektronische versie	9781538619469
DOI's	https://doi.org/10.1109/AMC.2019.8371143
Status	Gepubliceerd - 1 jun. 2018
Evenement	15th IEEE International Workshop on Advanced Motion Control, AMC 2018 - Shibaura Institute of Technology, Tokyo, Japan Duur: 9 mrt. 2018 → 11 mrt. 2018 Congresnummer: 15 http://ewh.ieee.org/conf/amc/2018/

Congres

Congres	15th IEEE International Workshop on Advanced Motion Control, AMC 2018
Verkorte titel	AMC 2018
Land/Regio	Japan
Stad	Tokyo
Periode	9/03/18 → 11/03/18
Ander	AMC2018 is the 15th in a series of biennial workshops that brings together researchers active in the field of advanced motion control to discuss current developments and future perspectives on motion control technology and applications. The workshop will be held at Shibaura Institute of Technology, Tokyo, Japan, during March 9-11, 2018.
Internet adres	http://ewh.ieee.org/conf/amc/2018/

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@inproceedings{43368ee14ceb49a4afab403acb75f613,

title = "Sparse iterative learning control (SPILC): when to sample for resource-efficiency?",

abstract = "Iterative learning control enables the determination of optimal command inputs by learning from measured data of previous tasks. The aim of this paper is to address the negative impact of trial-varying disturbances that contaminate these measurements, both in terms of resource-efficient implementations and performance degradation. The proposed method is an optimal framework for ILC that enforces sparsity and related structure on the command signal. This is achieved through a convex relaxation relying on ℓ1 regularization. The approach is demonstrated on a benchmark motion system, confirming substantial extensions compared to earlier results.",

author = "Tom Oomen and Rojas, \{Cristian R.\}",

year = "2018",

month = jun,

day = "1",

doi = "10.1109/AMC.2019.8371143",

language = "English",

pages = "497--502",

booktitle = "Proceedings - 2018 IEEE 15th International Workshop on Advanced Motion Control, AMC 2018",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "15th IEEE International Workshop on Advanced Motion Control, AMC 2018, AMC 2018 ; Conference date: 09-03-2018 Through 11-03-2018",

url = "http://ewh.ieee.org/conf/amc/2018/",

}

Oomen, T & Rojas, CR 2018, Sparse iterative learning control (SPILC): when to sample for resource-efficiency? in Proceedings - 2018 IEEE 15th International Workshop on Advanced Motion Control, AMC 2018. Institute of Electrical and Electronics Engineers, Piscataway, blz. 497-502, 15th IEEE International Workshop on Advanced Motion Control, AMC 2018, Tokyo, Japan, 9/03/18. https://doi.org/10.1109/AMC.2019.8371143

Sparse iterative learning control (SPILC): when to sample for resource-efficiency? / Oomen, Tom; Rojas, Cristian R.
Proceedings - 2018 IEEE 15th International Workshop on Advanced Motion Control, AMC 2018. Piscataway: Institute of Electrical and Electronics Engineers, 2018. blz. 497-502.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

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Sparse iterative learning control (SPILC): when to sample for resource-efficiency?

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