The University of Southampton
University of Southampton Institutional Repository

Self-tuning control by model unfalsification (part I)

Self-tuning control by model unfalsification (part I)
Self-tuning control by model unfalsification (part I)
The transient problem in self-tuning control is analysed in a non-stochastic framework based on model unfalsification and solutions are proposed. It is assumed that the disturbance bounds or norm bounds on the unmodelled dynamics are not known a priori. Depending on the transient requirements the problem is grouped into four classes. Simulations show the practical potential of the tuning methods proposed.
0020-3270
1548-1559
Veres, S.M.
909c60a0-56a3-4eb6-83e4-d52742ecd304
Veres, S.M.
909c60a0-56a3-4eb6-83e4-d52742ecd304

Veres, S.M. (2000) Self-tuning control by model unfalsification (part I). International Journal of Control, 73 (17), 1548-1559. (doi:10.1080/00207170050197678).

Record type: Article

Abstract

The transient problem in self-tuning control is analysed in a non-stochastic framework based on model unfalsification and solutions are proposed. It is assumed that the disturbance bounds or norm bounds on the unmodelled dynamics are not known a priori. Depending on the transient requirements the problem is grouped into four classes. Simulations show the practical potential of the tuning methods proposed.

This record has no associated files available for download.

More information

Published date: 2000

Identifiers

Local EPrints ID: 21460
URI: http://eprints.soton.ac.uk/id/eprint/21460
ISSN: 0020-3270
PURE UUID: d9639bd9-4463-4d71-bab9-7db6daea4b7d

Catalogue record

Date deposited: 08 Feb 2007
Last modified: 15 Mar 2024 06:30

Export record

Altmetrics

Contributors

Author: S.M. Veres

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.

×