Beyond quantization in iterative learning control: exploiting time-varying time-stamps

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

Equidistant sampling in control system may lead to quantization errors for certain measurement equipment, e.g., encoders. The aim of this paper is to develop an Iterative Learning Control (ILC) framework that eliminates quantization by exploiting time stamping. The developed ILC framework employs the non-equidistant time stamps in a linear time-varying (LTV) approach. Since the data at the time-stamps does not suffer from quantization, unparalleled performance can be achieved, while the intersample behaviour is bounded by definition. A simulation example confirms superiority of the ILC framework which employs time stamping.

LanguageEnglish
Title of host publication2019 American Control Conference, ACC 2019
Place of PublicationPIscataway
PublisherInstitute of Electrical and Electronics Engineers
Pages2984-2989
Number of pages6
ISBN (Electronic)978-1-5386-7926-5
StatePublished - 1 Jul 2019
Event2019 American Control Conference, ACC 2019 - Philadelphia, United States
Duration: 10 Jul 201912 Jul 2019
http://acc2019.a2c2.org

Conference

Conference2019 American Control Conference, ACC 2019
Abbreviated titleACC2019
CountryUnited States
CityPhiladelphia
Period10/07/1912/07/19
Internet address

Fingerprint

Stamping
Sampling
Control systems

Cite this

Strijbosch, N., & Oomen, T. (2019). Beyond quantization in iterative learning control: exploiting time-varying time-stamps. In 2019 American Control Conference, ACC 2019 (pp. 2984-2989). [8815329] PIscataway: Institute of Electrical and Electronics Engineers.
Strijbosch, Nard ; Oomen, Tom. / Beyond quantization in iterative learning control : exploiting time-varying time-stamps. 2019 American Control Conference, ACC 2019. PIscataway : Institute of Electrical and Electronics Engineers, 2019. pp. 2984-2989
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Strijbosch, N & Oomen, T 2019, Beyond quantization in iterative learning control: exploiting time-varying time-stamps. in 2019 American Control Conference, ACC 2019., 8815329, Institute of Electrical and Electronics Engineers, PIscataway, pp. 2984-2989, 2019 American Control Conference, ACC 2019, Philadelphia, United States, 10/07/19.

Beyond quantization in iterative learning control : exploiting time-varying time-stamps. / Strijbosch, Nard; Oomen, Tom.

2019 American Control Conference, ACC 2019. PIscataway : Institute of Electrical and Electronics Engineers, 2019. p. 2984-2989 8815329.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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Strijbosch N, Oomen T. Beyond quantization in iterative learning control: exploiting time-varying time-stamps. In 2019 American Control Conference, ACC 2019. PIscataway: Institute of Electrical and Electronics Engineers. 2019. p. 2984-2989. 8815329.