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Disturbance Rejection using an ILC Algorithm with Iteration Varying Filters
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.ORCID iD: 0000-0002-2100-6378
2004 (English)In: Asian Journal of Control, ISSN 1561-8625, E-ISSN 1934-6093, Vol. 6, no 3, p. 432-438Article in journal (Refereed) Published
Abstract [en]

An Iterative Learning Control disturbance rejection approach is considered and it is shown that iteration variant learning filters can asymptotically give the controlled variable zero error and zero variance. Convergence is achieved with the assumption that the relative model error is less than one. The transient response of the suggested ILC algorithm is also discussed using a simulation example.

Place, publisher, year, edition, pages
John Wiley & Sons, 2004. Vol. 6, no 3, p. 432-438
Keywords [en]
Iterative learning control, Disturbance rejection, Discrete time systems, Convergence
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-48250DOI: 10.1111/j.1934-6093.2004.tb00220.xOAI: oai:DiVA.org:liu-48250DiVA, id: diva2:269146
Available from: 2009-10-11 Created: 2009-10-11 Last updated: 2024-02-28

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Norrlöf, Mikael

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