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International Journal of Applied Mathematics and Computer Science

Journal of University of Zielona Gora and Lubuskie Scientific Society

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Volume 18, Issue 3 (Sep 2008)

Issues

Iterative Learning Control — Monotonicity and Optimization

David Owens
  • Department of Automatic Control and Systems Engineering, University of Sheffield, Mappin Street, Sheffield S1 3JD, UK
/ Steve Daley
  • Department of Automatic Control and Systems Engineering, University of Sheffield, Mappin Street, Sheffield S1 3JD, UK
Published Online: 2008-10-06 | DOI: https://doi.org/10.2478/v10006-008-0026-7

Iterative Learning Control — Monotonicity and Optimization

The area if Iterative Learning Control (ILC) has great potential for applications to systems with a naturally repetitive action where the transfer of data from repetition (trial or iteration) can lead to substantial improvements in tracking performance. There are several serious issues arising from the "2D" structure of ILC and a number of new problems requiring new ways of thinking and design. This paper introduces some of these issues from the point of view of the research group at Sheffield University and concentrates on linear systems and the potential for the use of optimization methods and switching strategies to achieve effective control.

Keywords: iterative learning control; optimization; monotonicity; robust control

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  • Hätönen J., Harte T. J., Owens D. H., Ratcliffe J., Lewin P. and Rogers E. (2003). A new robust iterative learning control law for application on a gantry robot, Proceedings of the 9th IEEE Conference on Emerging Technologies and Factory Automation, Lisbon, Portugal.

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About the article


Published Online: 2008-10-06

Published in Print: 2008-09-01



Citation Information: International Journal of Applied Mathematics and Computer Science, ISSN (Print) 1641-876X, DOI: https://doi.org/10.2478/v10006-008-0026-7. Export Citation

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