Iterative Learning Control - monotonicity and optimization

• Autorzy: David H. Owens , Steve Daley
• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

iterative learning control; optimization; monotonicity; robust control

• Wydawca: University of Zielona Gora Press
• Czasopismo: International Journal of Applied Mathematics and Computer Science
• Rocznik: 2008
• Tom: 18
• Numer: 3
• Strony: 279-293

Daty

wydano

2008

otrzymano

2007-06-25

poprawiono

2007-07-30

Twórcy

autor

David H. Owens

• Department of Automatic Control and Systems Engineering, University of Sheffield, Mappin Street, Sheffield S1 3JD, UK

autor

Steve Daley

• Department of Automatic Control and Systems Engineering, University of Sheffield, Mappin Street, Sheffield S1 3JD, UK

Bibliografia

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Identyfikatory

DOI

10.2478/v10006-008-0026-7