Suppressing intersample behavior in iterative learning control

T.A.E. Oomen, J.J.M. Wijdeven, van de, O.H. Bosgra

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

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Iterative Learning Control (ILC) is a control strategy to improve the performance of digital batch repetitive processes. Due to its digital implementation, discrete time ILC approaches do not guarantee good intersample behavior. In fact, common discrete time ILC approaches may deteriorate the intersample behavior, thereby reducing the performance of the sampled-data system. In this paper, a generally applicable multirate ILC approach is presented that enables to balance the at-sample performance and the intersample behavior. Furthermore, key theoretical issues regarding multirate systems are addressed, including the time-varying nature of the multirate ILC setup. The proposed multirate ILC approach is shown to outperform discrete time ILC in a realistic simulation example.
Original languageEnglish
Title of host publicationProceedings of the 47th IEEE Conference on Decision and Control (CDC 2008) : Mexico, Cancún, 9 - 11 December 2008
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers
ISBN (Print)978-1-4244-3123-6
Publication statusPublished - 2008
Event47th IEEE Conference on Decision and Control (CDC 2008) - Fiesta Americana Grand Coral Beach, Cancún, Mexico
Duration: 9 Dec 200811 Dec 2008
Conference number: 47


Conference47th IEEE Conference on Decision and Control (CDC 2008)
Abbreviated titleCDC 2008
Internet address


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