The University of Southampton
University of Southampton Institutional Repository

Passivity based stabilization of repetitive processes and iterative learning control design

Passivity based stabilization of repetitive processes and iterative learning control design
Passivity based stabilization of repetitive processes and iterative learning control design

Repetitive processes are a class of 2D systems that arise in the modeling of physical systems and also as a setting for iterative learning control design. For linear dynamics experimental validation of iterative learning control laws designed in this setting has been successfully achieved. Examples also exist where a linear model is not sufficient for analysis and control law design. This has led to research on the development of a stability and control law design theory for nonlinear repetitive processes. In this paper new results on a passivity based approach to control law design for these processes are developed. These results are then extended to iterative learning control, resulting in a design where tuning of the control law to achieve better performance is possible.

Iterative learning control design, Passivity, Repetitive processes, Stability
0167-6911
101-108
Pakshin, Pavel
8bee1030-fcdf-4e47-abca-72b2d07fd20a
Emelianova, Julia
04343da6-8438-40e3-b128-fc773905ea16
Emelianov, Mikhail
077687f7-cd07-4da0-a4c6-e758fceb9688
Galkowski, Krzysztof
322994ac-7e24-4350-ab72-cc80ac8078ef
Rogers, Eric
611b1de0-c505-472e-a03f-c5294c63bb72
Pakshin, Pavel
8bee1030-fcdf-4e47-abca-72b2d07fd20a
Emelianova, Julia
04343da6-8438-40e3-b128-fc773905ea16
Emelianov, Mikhail
077687f7-cd07-4da0-a4c6-e758fceb9688
Galkowski, Krzysztof
322994ac-7e24-4350-ab72-cc80ac8078ef
Rogers, Eric
611b1de0-c505-472e-a03f-c5294c63bb72

Pakshin, Pavel, Emelianova, Julia, Emelianov, Mikhail, Galkowski, Krzysztof and Rogers, Eric (2018) Passivity based stabilization of repetitive processes and iterative learning control design. Systems and Control Letters, 122, 101-108. (doi:10.1016/j.sysconle.2018.09.003).

Record type: Article

Abstract

Repetitive processes are a class of 2D systems that arise in the modeling of physical systems and also as a setting for iterative learning control design. For linear dynamics experimental validation of iterative learning control laws designed in this setting has been successfully achieved. Examples also exist where a linear model is not sufficient for analysis and control law design. This has led to research on the development of a stability and control law design theory for nonlinear repetitive processes. In this paper new results on a passivity based approach to control law design for these processes are developed. These results are then extended to iterative learning control, resulting in a design where tuning of the control law to achieve better performance is possible.

This record has no associated files available for download.

More information

Accepted/In Press date: 5 September 2018
e-pub ahead of print date: 16 November 2018
Published date: 1 December 2018
Keywords: Iterative learning control design, Passivity, Repetitive processes, Stability

Identifiers

Local EPrints ID: 428231
URI: http://eprints.soton.ac.uk/id/eprint/428231
ISSN: 0167-6911
PURE UUID: c0eb27ed-0e78-4f2d-bccf-bc485f551094
ORCID for Eric Rogers: ORCID iD orcid.org/0000-0003-0179-9398

Catalogue record

Date deposited: 15 Feb 2019 17:30
Last modified: 16 Mar 2024 02:41

Export record

Altmetrics

Contributors

Author: Pavel Pakshin
Author: Julia Emelianova
Author: Mikhail Emelianov
Author: Krzysztof Galkowski
Author: Eric Rogers ORCID iD

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.

×