<abstract xml:lang="en" xmlns="http://www.w3.org/1999/xhtml"><p>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.</p></abstract>

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.

Iterative Learning Control — Monotonicity and Optimization

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

International Journal of Applied Mathematics and Computer Science

{"article-title":"Iterative Learning Control \u2014 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...

Iterative Learning Control — Monotonicity and Optimization

Online veröffentlicht: 06. Okt. 2008

Seitenbereich: 279 - 293

DOI: https://doi.org/10.2478/v10006-008-0026-7

Schlüsselwörter
iterative learning control, optimization, monotonicity, robust control

This content is open access.

Iterative Learning Control — Monotonicity and Optimization

Online veröffentlicht: 06. Okt. 2008

Seitenbereich: 279 - 293

DOI: https://doi.org/10.2478/v10006-008-0026-7

Schlüsselwörteriterative learning control, optimization, monotonicity, robust control

This content is open access.

Schlüsselwörter
iterative learning control, optimization, monotonicity, robust control