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

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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.

Original languageEnglish
Title of host publication2019 American Control Conference, ACC 2019
Place of PublicationPIscataway
PublisherInstitute of Electrical and Electronics Engineers
Number of pages6
ISBN (Electronic)978-1-5386-7926-5
Publication statusPublished - 1 Jul 2019
Event2019 American Control Conference (ACC 2019) - Philadelphia, United States
Duration: 10 Jul 201912 Jul 2019


Conference2019 American Control Conference (ACC 2019)
Abbreviated titleACC2019
Country/TerritoryUnited States
Internet address


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