The University of Southampton
University of Southampton Institutional Repository

Optimal control of non-stationary differential linear repetitive processes

Dymkov, M, Dymkou, S, Rogers, E and Galkowski, K (2008) Optimal control of non-stationary differential linear repetitive processes Integral Equations and Operator Theory, 60, pp. 201-216.

Record type: Article


Differential repetitive processes are a distinct class of continuousdiscrete 2D linear systems of both systems theoretic and applications interest. The feature which makes them distinct from other classes of such systems is the fact that information propagation in one of the two independent directions only occurs over a finite interval. Applications areas include iterative learning control and iterative solution algorithms for classes of dynamic nonlinear optimal control problems based on the maximum principle, and the modelling of numerous industrial processes such as metal rolling, and long-wall cutting etc. The new results in is paper solve a general optimal problem in the presence of non-stationary dynamics.

PDF ieot.pdf - Other
Download (214kB)

More information

Published date: 2008
Organisations: Southampton Wireless Group


Local EPrints ID: 264564
PURE UUID: 0b2e1ad0-fc6c-4e7f-a01f-f9e305db09b4

Catalogue record

Date deposited: 22 Sep 2007
Last modified: 18 Jul 2017 07:34

Export record


Author: M Dymkov
Author: S Dymkou
Author: E Rogers
Author: K Galkowski

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.