The University of Southampton
University of Southampton Institutional Repository

Robust fault-tolerant iterative learning control for discrete systems via linear repetitive processes theory

Robust fault-tolerant iterative learning control for discrete systems via linear repetitive processes theory
Robust fault-tolerant iterative learning control for discrete systems via linear repetitive processes theory
This paper addresses the problem of robust iterative learning control design for a class of uncertain multiple-input
multiple-output discrete linear systems with actuator faults. The stability theory for linear repetitive processes is used to develop
control law design algorithms that can be computed using linear matrix inequalities. An extension to deal with model uncertainty of
the polytopic or norm bounded form is also developed and an illustrative example is given.
1476-8186
254-265
Ding, J
0270c8b4-4223-4ad7-bc27-947064c0d9b4
Cichy, B
7f9e82ee-ff3f-40d7-839e-0e54d878538e
Galkowski, K
65b638be-b5a5-4e25-b1b8-e152c08a1cbb
Rogers, E
611b1de0-c505-472e-a03f-c5294c63bb72
Yang, H Z
b3d3158e-d254-4ee2-92a8-5f8bddd250e3
Ding, J
0270c8b4-4223-4ad7-bc27-947064c0d9b4
Cichy, B
7f9e82ee-ff3f-40d7-839e-0e54d878538e
Galkowski, K
65b638be-b5a5-4e25-b1b8-e152c08a1cbb
Rogers, E
611b1de0-c505-472e-a03f-c5294c63bb72
Yang, H Z
b3d3158e-d254-4ee2-92a8-5f8bddd250e3

Ding, J, Cichy, B, Galkowski, K, Rogers, E and Yang, H Z (2015) Robust fault-tolerant iterative learning control for discrete systems via linear repetitive processes theory. International Journal of Automation and Computing, 12 (3), 254-265.

Record type: Article

Abstract

This paper addresses the problem of robust iterative learning control design for a class of uncertain multiple-input
multiple-output discrete linear systems with actuator faults. The stability theory for linear repetitive processes is used to develop
control law design algorithms that can be computed using linear matrix inequalities. An extension to deal with model uncertainty of
the polytopic or norm bounded form is also developed and an illustrative example is given.

Full text not available from this repository.

More information

Published date: 1 June 2015
Organisations: Vision, Learning and Control

Identifiers

Local EPrints ID: 381090
URI: http://eprints.soton.ac.uk/id/eprint/381090
ISSN: 1476-8186
PURE UUID: 506b3738-db30-413b-afb9-b0f2bf1dc309
ORCID for E Rogers: ORCID iD orcid.org/0000-0003-0179-9398

Catalogue record

Date deposited: 30 Aug 2015 08:47
Last modified: 20 Jul 2019 01:23

Export record

Contributors

Author: J Ding
Author: B Cichy
Author: K Galkowski
Author: E Rogers ORCID iD
Author: H Z Yang

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.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.

×