Identifying Lebesgue-sampled Continuous-time Impulse Response Models: A Kernel-based Approach

Rodrigo González; Koen Tiels; Tom A.E. Oomen

doi:10.1016/j.ifacol.2023.10.1769

Identifying Lebesgue-sampled Continuous-time Impulse Response Models: A Kernel-based Approach

Rodrigo González, Koen Tiels, Tom A.E. Oomen

Onderzoeksoutput: Bijdrage aan tijdschrift › Congresartikel › peer review

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Control applications are increasingly sampled non-equidistantly in time, including in motion control, networked control, resource-aware control, and event-triggered control. Some of these applications use measurement devices that sample equidistantly in the amplitude domain. The aim of this paper is to develop a non-parametric estimator of the impulse response of continuous-time systems based on such sampling strategy, known as Lebesgue-sampling. To this end, kernel methods are developed to formulate an algorithm that adequately takes into account the output intersample behavior, which ultimately leads to more accurate models and more efficient output sampling compared to the standard approach. The efficacy of this method is demonstrated through a mass-spring damper case study.

Originele taal-2	Engels
Pagina's (van-tot)	4198-4203
Aantal pagina's	6
Tijdschrift	IFAC-PapersOnLine
Volume	56
Nummer van het tijdschrift	2
DOI's	https://doi.org/10.1016/j.ifacol.2023.10.1769
Status	Gepubliceerd - 2023
Evenement	22nd World Congress of the International Federation of Automatic Control (IFAC 2023 World Congress) - Yokohama, Japan Duur: 9 jul. 2023 → 14 jul. 2023 Congresnummer: 22 https://www.ifac2023.org/

Financiering

This work is part of the research program VIDI with project number 15698, which is (partly) financed by The Netherlands Organization for Scientific Research (NWO).

Financiers	Financiernummer
Nederlandse Organisatie voor Wetenschappelijk Onderzoek

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abstract = "Control applications are increasingly sampled non-equidistantly in time, including in motion control, networked control, resource-aware control, and event-triggered control. Some of these applications use measurement devices that sample equidistantly in the amplitude domain. The aim of this paper is to develop a non-parametric estimator of the impulse response of continuous-time systems based on such sampling strategy, known as Lebesgue-sampling. To this end, kernel methods are developed to formulate an algorithm that adequately takes into account the output intersample behavior, which ultimately leads to more accurate models and more efficient output sampling compared to the standard approach. The efficacy of this method is demonstrated through a mass-spring damper case study.",

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AU - Oomen, Tom A.E.

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Identifying Lebesgue-sampled Continuous-time Impulse Response Models: A Kernel-based Approach

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