eprintid: 533
rev_number: 14
eprint_status: archive
userid: 7
dir: disk0/00/00/05/33
datestamp: 2011-07-27 08:47:28
lastmod: 2011-08-05 13:53:02
status_changed: 2011-07-27 08:47:28
type: book_section
metadata_visibility: show
contact_email: alberto.bemporad@imtlucca.it
item_issues_count: 0
creators_name: Muñoz de la Peña, David
creators_name: Bemporad, Alberto
creators_name: Alamo, Teodoro
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: QA75
divisions: CSA
full_text_status: none
keywords: Optimization algorithms; Predictive control for linear systems; Uncertain systems
abstract: An algorithm for solving feedback min-max model predictive control for discrete time uncertain linear systems with constraints is presented in the paper. The algorithm solves the corresponding multi-stage min-max linear optimization problem. It 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: 2005
date_type: published
publication: Decision and Control and European Control Conf.
publisher: IEEE
place_of_pub: 12th-15th Dec. 2005 
pagerange: 5126-5131
event_title: 44th IEEE Conference on Decision and Control and European Control Conference
event_location: 12th-15th Dec. 2005 
event_dates: Sevilla, Spain
id_number: 10.1109/CDC.2005.1582975
refereed: TRUE
isbn: 0-7803-9567-0 
book_title: Decision and Control and European Control Conference
official_url: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1582975&isnumber=33412
citation:   Muñoz de la Peña, David and Bemporad, Alberto and Alamo, Teodoro  A decomposition algorithm for feedback min-max model predictive control.   In:  Decision and Control and European Control Conference.   IEEE, 12th-15th Dec. 2005 , pp. 5126-5131.  ISBN 0-7803-9567-0       (2005)