eprintid: 490
rev_number: 15
eprint_status: archive
userid: 7
dir: disk0/00/00/04/90
datestamp: 2011-07-27 08:40:35
lastmod: 2011-08-05 13:20:08
status_changed: 2011-07-27 08:40:35
type: article
metadata_visibility: show
contact_email: alberto.bemporad@imtlucca.it
item_issues_count: 0
creators_name: Muñoz de la Peña, David
creators_name: Alamo, Teodoro
creators_name: Bemporad, Alberto
creators_name: Camacho, Eduardo F.
creators_id: 
creators_id: 
creators_id: alberto.bemporad@imtlucca.it
creators_id: 
title: A decomposition algorithm for feedback min-max model predictive control
ispublished: pub
subjects: QA
subjects: TA
divisions: CSA
full_text_status: none
keywords: decomposition algorithm; discrete time uncertain linear system; feedback min-max model predictive control; finite time system; discrete time systems; feedback; linear systems; predictive control; uncertain systems
abstract: An algorithm for solving feedback min-max model predictive control for discrete-time uncertain linear systems with constraints is presented in this note. The algorithm is based on applying recursively a decomposition technique to solve the min-max problem via a sequence of low complexity linear programs. It is proved that the algorithm converges to the optimal solution in finite time. Simulation results are provided to compare the proposed algorithm with other approaches
date: 2006-10
date_type: published
publication: IEEE Transactions on Automatic Control
volume: 51
number: 10
publisher: IEEE
pagerange: 1688-1692
id_number: 10.1109/TAC.2006.883062
refereed: TRUE
issn: 0018-9286
related_url_url: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1707891&isnumber=36045
citation:   Muñoz de la Peña, David and Alamo, Teodoro and Bemporad, Alberto and Camacho, Eduardo F.  A decomposition algorithm for feedback min-max model predictive control.  IEEE Transactions on Automatic Control, 51 (10).  pp. 1688-1692.  ISSN 0018-9286      (2006)