eprintid: 612
rev_number: 11
eprint_status: archive
userid: 7
dir: disk0/00/00/06/12
datestamp: 2011-07-27 09:11:24
lastmod: 2014-07-17 12:17:57
status_changed: 2011-07-27 09:11:24
type: conference_item
metadata_visibility: show
item_issues_count: 0
creators_name: Bemporad, Alberto
creators_name: Bozinis, Nikolaos A.
creators_name: Dua, Vivek
creators_name: Morari, Manfred
creators_name: Pistikopoulos, Efstratios N.
creators_id: alberto.bemporad@imtlucca.it
creators_id: 
creators_id: 
creators_id: 
creators_id: 
title: Model predictive control: a multi-parametric programming approach
ispublished: pub
subjects: QA75
subjects: TJ
divisions: CSA
full_text_status: none
pres_type: paper
abstract: In this paper, linear model predictive control problems are formulated as multi-parametric quadratic programs, where the control variables are treated as optimization variables and the state variables as parameters. It is shown that the control variables are affine functions of the state variables and each of these affine functions is valid in a certain polyhedral region in the space of state variables. An approach for deriving the explicit expressions of all the affine functions and their corresponding polyhedral regions is presented. The key advantage of this approach is that the control actions are computed off-line: the on-line computation simply reduces to a function evaluation problem.
date: 2000
date_type: published
publication: Proc. European Symposium on Computer Aided Process Engineering-10
pagerange: 301-306
event_title: European Symposium on Computer Aided Process Engineering-10
event_location: Florence, Italy
event_type: conference
refereed: TRUE
book_title: Proc. European Symposium on Computer Aided Process Engineering-10
official_url: http://www.sciencedirect.com/science/article/pii/S1570794600800528
citation:   Bemporad, Alberto and Bozinis, Nikolaos A. and Dua, Vivek and Morari, Manfred and Pistikopoulos, Efstratios N.  Model predictive control: a multi-parametric programming approach.  In: European Symposium on Computer Aided Process Engineering-10, Florence, Italy pp. 301-306.        (2000)