eprintid: 537
rev_number: 14
eprint_status: archive
userid: 7
dir: disk0/00/00/05/37
datestamp: 2011-07-27 08:44:00
lastmod: 2011-08-05 13:44:03
status_changed: 2011-07-27 08:44:00
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: Alamo, Teodoro
creators_name: Bemporad, Alberto
creators_name: Camacho, Eduardo F.
creators_id: 
creators_id: 
creators_id: alberto.bemporad@imtlucca.it
creators_id: 
title: Feedback min-max model predictive control based on a quadratic cost function
ispublished: pub
subjects: HB
subjects: QA
subjects: TJ
divisions: CSA
full_text_status: none
keywords: computational complexity; feedback min-max model predictive control; linear systems; optimization algorithms; cost function; quadruple-tank process; recourse horizon; robust control; feedback; linear systems; minimax techniques; predictive control; robust control
abstract: Feedback min-max model predictive control based on a quadratic cost function is addressed in this paper. The main contribution is an algorithm for solving the min-max quadratic MPC problem with an arbitrary degree of approximation. The paper also introduces the "recourse horizon", which allows one to obtain a trade-off between computational complexity and performance of the control law. The results are illustrated by means of a simulation of a quadruple-tank process
date: 2006
publication: American Control Conference
publisher: IEEE
place_of_pub: 14th-16th June 2006 
pagerange: 1575-1680
event_title: Amreican Control Conference, 2006
event_location: 14th-16th June 2006 
event_dates: Minneapolis
id_number: 10.1109/ACC.2006.1656443
refereed: TRUE
isbn: 1-4244-0209-3 
book_title: American Control Conference
official_url: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1656443&isnumber=34689
citation:   Muñoz de la Peña, David and Alamo, Teodoro and Bemporad, Alberto and Camacho, Eduardo F.  Feedback min-max model predictive control based on a quadratic cost function.   In:  American Control Conference.   IEEE, 14th-16th June 2006 , pp. 1575-1680.  ISBN 1-4244-0209-3       (2006)