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A General Framework for Iterative Learning Control
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
Royal Institute of Technology, Sweden.
Royal Institute of Technology, Sweden.
2002 (English)In: Proceedings of the 15th IFAC World Congress, 2002, 224-224 p.Conference paper (Refereed)
Abstract [en]

In this contribution we place ILC in the realm of numerical optimization. This clarifies the role played by the design variables and how they affect e.g. convergence properties. We give a model based interpretation of these design variables and also a sufficient condition for convergence of ILC which is similar in spirit to the sufficient and necessary condition previously derived for linear systems. This condition shows that the desired performance has to be traded against modelling accuracy. Finally, one of the main benefits of ILC when non-minimum phase systems are concerned, the possibility of non-causal control, is given a comprehensive coverage.

Place, publisher, year, edition, pages
2002. 224-224 p.
Keyword [en]
Iterative methods, Learning control, Nonlinear systems, Convergence analysis, Non-minimum phase systems
National Category
Engineering and Technology Control Engineering
URN: urn:nbn:se:liu:diva-29594DOI: 10.3182/20020721-6-ES-1901.00226Local ID: 14972ISBN: 978-3-902661-74-6OAI: diva2:250411
15th IFAC World Congress, Barcelona, Spain, July, 2002
Available from: 2009-10-09 Created: 2009-10-09 Last updated: 2013-04-10

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Norrlöf, Mikael
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ReferencesLink to record
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