eprintid: 2173
rev_number: 8
eprint_status: archive
userid: 6
dir: disk0/00/00/21/73
datestamp: 2014-03-05 13:21:13
lastmod: 2014-03-05 14:06:56
status_changed: 2014-03-05 13:21:13
type: article
metadata_visibility: show
creators_name: Patrinos, Panagiotis
creators_name: Bemporad, Alberto
creators_id: panagiotis.patrinos@imtlucca.it
creators_id: alberto.bemporad@imtlucca.it
title: An accelerated dual gradient-projection algorithm for embedded linear model predictive control
ispublished: pub
subjects: QA75
subjects: TJ
divisions: CSA
full_text_status: none
keywords: Computational methods; optimization algorithms; predictive control for linear systems
abstract: This paper proposes a dual fast gradient-projection method for solving quadratic programming problems that arise in model predictive control of linear systems subject to general polyhedral constraints on inputs and states. The proposed algorithm is well suited for embedded control applications in that: 1) it is extremely simple and easy to code; 2) the number of iterations to reach a given accuracy in terms of optimality and feasibility of the primal solution can be tightly estimated; and 3) the computational cost per iteration increases only linearly with the prediction horizon.
date: 2014-01
date_type: published
publication: IEEE Transactions on Automatic Control 
volume: 59
number: 1
publisher: IEEE 
pagerange: 18-33
id_number: 10.1109/TAC.2013.2275667
refereed: TRUE
issn: 0018-9286
citation:   Patrinos, Panagiotis and Bemporad, Alberto  An accelerated dual gradient-projection algorithm for embedded linear model predictive control.  IEEE Transactions on Automatic Control , 59 (1).  pp. 18-33.  ISSN 0018-9286      (2014)