The University of Southampton
University of Southampton Institutional Repository

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

Iterative Learning Control - 2D Control Systems From Theory to Application
Iterative Learning Control - 2D Control Systems From Theory to Application
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.
0020-3270
877-893
Al-Towaim, T
110af05f-8c56-46a7-aa4e-3127f5d361dd
Barton, A D
888ce5e7-e3f1-45fe-bdbf-db238617c30c
Lewin, P L
78b4fc49-1cb3-4db9-ba90-3ae70c0f639e
Rogers, E
611b1de0-c505-472e-a03f-c5294c63bb72
Owens, D H
db24b8ef-282b-47c0-9cd2-75e91d312ad7
Galkowski, K
65b638be-b5a5-4e25-b1b8-e152c08a1cbb
Vinnikov, V
b6d79ca5-1fc9-429d-9825-f44faf404c4b
Al-Towaim, T
110af05f-8c56-46a7-aa4e-3127f5d361dd
Barton, A D
888ce5e7-e3f1-45fe-bdbf-db238617c30c
Lewin, P L
78b4fc49-1cb3-4db9-ba90-3ae70c0f639e
Rogers, E
611b1de0-c505-472e-a03f-c5294c63bb72
Owens, D H
db24b8ef-282b-47c0-9cd2-75e91d312ad7
Galkowski, K
65b638be-b5a5-4e25-b1b8-e152c08a1cbb
Vinnikov, V
b6d79ca5-1fc9-429d-9825-f44faf404c4b

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), 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.

Text
ijc77_ilc.pdf - Other
Restricted to Registered users only
Download (514kB)
Request a copy

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
ORCID for P L Lewin: ORCID iD orcid.org/0000-0002-3299-2556
ORCID for E Rogers: ORCID iD orcid.org/0000-0003-0179-9398

Catalogue record

Date deposited: 28 Sep 2004
Last modified: 15 Mar 2024 02:43

Export record

Contributors

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

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×