eprintid: 34173
rev_number: 14
eprint_status: archive
userid: 558
dir: disk0/00/03/41/73
datestamp: 2010-08-05 09:53:09
lastmod: 2021-09-22 10:07:36
status_changed: 2010-08-05 09:53:09
type: book_section
metadata_visibility: show
item_issues_count: 0
creators_name: Kocijan, J.
creators_name: Murray-Smith, R.
creators_name: Rasmussen, C.E.
creators_name: Likar, B.
creators_orcid: 0000-0003-4228-7962
title: Predictive control with Gaussian process models
ispublished: pub
subjects: QA75
divisions: 30200000
keywords: Gaussian process model, black-box identification, constraint optimisation, control signal, model-based predictive control, nonlinear control, nonlinear dynamic system, nonparametric modelling approach, probabilistic modelling approach, Gaussian processes, nonlinear control systems, predictive control
abstract: This paper describes model-based predictive control based on Gaussian processes. Gaussian process models provide a probabilistic non-parametric modelling approach for black-box identification of nonlinear dynamic systems. It offers more insight in variance of obtained model response, as well as fewer parameters to determine than other models. The Gaussian processes can highlight areas of the input space where prediction quality is poor, due to the lack of data or its complexity, by indicating the higher variance around the predicted mean. This property is used in predictive control, where optimisation of control signal takes the variance information into account. The predictive control principle is demonstrated on a simulated example of nonlinear system.
date: 2003
date_type: published
publisher: IEEE Computer Society
uniqueid: glaseprints:2003-34173
wos_impact: 2
wos_cluster: WOS:000189387200077
wos_datestamp: 2013-10-25 00:16:07
full_text_status: none
place_of_pub: Piscataway, N.J., USA
pagerange: 352 -356
event_type: conference
refereed: TRUE
isbn: 9780780377639
book_title: Proceedings of the IEEE Region 8 EUROCON 2003 Computer as a Tool: 22-24 September 2003, Faculty of Electrical Engineering, University of Ljubljana, Ljubljana, Slovenia
editors_name: Zajc, B.
editors_name: Tkalcic, M.
hoa_date_pub: 2003
hoa_exclude: FALSE
hoa_gold: FALSE
citation:    Kocijan, J., Murray-Smith, R. <https://eprints.gla.ac.uk/view/author/11535.html>, Rasmussen, C.E. and Likar, B.  (2003)  Predictive control with Gaussian process models.    In: Zajc, B. and Tkalcic, M. (eds.) Proceedings of the IEEE Region 8 EUROCON 2003 Computer as a Tool: 22-24 September 2003, Faculty of Electrical Engineering, University of Ljubljana, Ljubljana, Slovenia.   IEEE Computer Society: Piscataway, N.J., USA, 352 -356.  ISBN 9780780377639