eprintid: 1844
rev_number: 13
eprint_status: archive
userid: 44
dir: disk0/00/00/18/44
datestamp: 2013-10-25 08:56:20
lastmod: 2014-06-12 10:09:34
status_changed: 2013-10-25 08:56:20
type: book_section
metadata_visibility: show
creators_name: Sopasakis, Pantelis
creators_name: Bernardini, Daniele
creators_name: Bemporad, Alberto
creators_id: pantelis.sopasakis@imtlucca.it
creators_id: daniele.bernardini@imtlucca.it
creators_id: alberto.bemporad@imtlucca.it
title: Constrained Model Predictive Control Based on Reduced-Order Models
ispublished: pub
subjects: QA
subjects: QA75
subjects: TA
subjects: TK
divisions: CSA
full_text_status: none
keywords: Predictive control for linear systems, Model/Controller reduction, Large-scale systems
note: 52nd IEEE Conference on Decision and Control held in Florence, Italy, December 10-13, 2013
abstract: The need for reduced-order approximations of dynamical systems emerges naturally in model-based control of very large-scale systems, such as those arising from the discretisation of partial differential equation models. The controller based on the reduced-order model, when in closed-loop with the large-scale system, ought to endow certain properties, in primis stability, but also satisfaction of state constraints and recursive computability of the control law in the case of constrained control. In this paper we introduce a new approach to the design of model predictive controllers to meet the aforementioned requirements while the on-line complexity is essentially tantamount to the one that corresponds to the low-dimensional approximate model.
date: 2013-12
date_type: published
publisher: IEEE
pagerange: 7071-7076
event_title: 52nd IEEE Conference on Decision and Control, IEEE
id_number: 10.1109/CDC.2013.6761010
refereed: TRUE
isbn: 978-1-4673-5717-3
book_title: 52nd IEEE Conference on Decision and Control
official_url: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6761010&isnumber=6759837
citation:   Sopasakis, Pantelis and Bernardini, Daniele and Bemporad, Alberto  Constrained Model Predictive Control Based on Reduced-Order Models.   In:  52nd IEEE Conference on Decision and Control.   IEEE, pp. 7071-7076.  ISBN 978-1-4673-5717-3      (2013)