Noncausal finite-time robust Iterative Learning Control

Jeroen J.M. van de Wijdeven, O.H. Bosgra

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

8 Citations (Scopus)


In this paper, we present a new finite-time robust Iterative Learning Control (ILC) strategy which can guarantee robust stability of the ILC controlled system in presence of model uncertainty as quantified by an additive or multiplicative uncertainty model. The presented finite-time robust ILC controller distinguishes itself from other robust ILC controllers by 1) exploiting non-causality in its control structure and 2) taking into account the finite time span of a single trial. The different steps in the control design and analysis are extensively discussed and illustrated by means of an example.
Original languageEnglish
Title of host publicationProceedings of the 46th IEEE Conference on Decision and Control (CDC 46)
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Number of pages6
ISBN (Print)978-1-4244-1497-0
Publication statusPublished - 2007
Event46th IEEE Conference on Decision and Control (CDC 2007) - New Orleans, United States
Duration: 12 Dec 200714 Dec 2007
Conference number: 46


Conference46th IEEE Conference on Decision and Control (CDC 2007)
Abbreviated titleCDC 2007
Country/TerritoryUnited States
CityNew Orleans


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