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Iterative Learning Control - 2D Control Systems From Theory to Application

Al-Towaim, T, Barton, A D, Lewin, P L, Rogers, E and Owens, D H, Galkowski, K and Vinnikov, V(eds.) (2004) Iterative Learning Control - 2D Control Systems From Theory to Application International Journal of Control, 77, (9), pp. 877-893.

Record type: Article

Abstract

It has long been recognised that iterative learning control is a 2D system, i.e. information propagation occurs in two independent directions. In this paper, the application of so-called norm optimal iterative learning control, which has its origins in the theory of the class of 2D systems known as linear repetitive processes to an experimental testbed in the form of a chain conveyor system is reported. This includes the motivation for applying iterative learning control to such systems, the design and construction of the testbed, and its use to demonstrate that norm optimal iterative learning control gives superior performance over alternatives. As such, it provides an application for 2D systems theory where distinct advantages arise from using such a setting for modelling and control.

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More information

Published date: June 2004
Organisations: EEE, Southampton Wireless Group

Identifiers

Local EPrints ID: 259288
URI: http://eprints.soton.ac.uk/id/eprint/259288
ISSN: 0020-3270
PURE UUID: 55a90475-71f0-4842-ba9c-96f3b4391ae4

Catalogue record

Date deposited: 28 Sep 2004
Last modified: 18 Jul 2017 09:24

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Contributors

Author: T Al-Towaim
Author: A D Barton
Author: P L Lewin
Author: E Rogers
Author: D H Owens
Editor: K Galkowski
Editor: V Vinnikov

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