The University of Southampton
University of Southampton Institutional Repository

Limit sets and switching strategies in parameter-optimal iterative learning control

Owens, D. H., Tomas-Rodriguez, M. and Daley, S. (2008) Limit sets and switching strategies in parameter-optimal iterative learning control International Journal of Control, 81, (4), pp. 626-640. (doi:10.1080/00207170701579403).

Record type: Article


This paper characterizes the existence and form of the possible limit error signals in typical parameter-optimal iterative learning control. The set of limit errors has attracting and repelling components and the behaviour of the algorithm in the vicinity of these sets can be associated with the undesirable properties of apparent (but in fact temporary) convergence or permanent slow convergence properties in practice. The avoidance of these behaviours in practice is investigated using novel switching strategies. Deterministic strategies are analysed to prove the feasibility of the concept by proving that each of a number of such strategies is guaranteed to produce global convergence of errors to zero independent of the details of plant dynamics. For practical applications a random switching strategy is proposed to replace these approaches and shown, by example, to produce substantial potential improvements when compared with the non-switching case. The work described in this paper is covered by pending patent applications in the UK and elsewhere.

Full text not available from this repository.

More information

Published date: 2008
Organisations: Signal Processing & Control Grp


Local EPrints ID: 334372
ISSN: 0020-3270
PURE UUID: c93bbb1e-000d-47cd-bfa5-dbf69ac28132

Catalogue record

Date deposited: 07 Mar 2012 16:32
Last modified: 18 Jul 2017 06:12

Export record



Author: D. H. Owens
Author: M. Tomas-Rodriguez
Author: S. Daley

University divisions

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 supports OAI 2.0 with a base URL of

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.