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 (Special Issue: Multidimensional Control Systems: Theory with a view to Applications), 77, (9), 877-893.

Download

[img] PDF
Restricted to Registered users only

Download (502Kb) | Request a copy

Description/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.

Item Type: Article
ISSNs: 0020-7179
Divisions: Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Comms, Signal Processing & Control
Faculty of Physical Sciences and Engineering > Electronics and Computer Science > EEE
ePrint ID: 259288
Date Deposited: 28 Sep 2004
Last Modified: 27 Mar 2014 20:01
Further Information:Google Scholar
ISI Citation Count:13
URI: http://eprints.soton.ac.uk/id/eprint/259288

Actions (login required)

View Item View Item

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