eprintid: 605
rev_number: 10
eprint_status: archive
userid: 7
dir: disk0/00/00/06/05
datestamp: 2011-07-27 09:19:32
lastmod: 2014-07-16 14:14:51
status_changed: 2011-07-27 09:19:32
type: book_section
metadata_visibility: show
item_issues_count: 0
creators_name: Bemporad, Alberto
creators_id: alberto.bemporad@imtlucca.it
title: Reducing conservativeness in predictive control of constrained systems with disturbances
ispublished: pub
subjects: QA
subjects: QA75
subjects: TJ
divisions: CSA
full_text_status: none
keywords: asymptotic stability; closed loop systems; feedback; linear systems; minimax techniques; predictive control
abstract: Predictive controllers which are able to guarantee constraint fulfilment in the presence of input disturbances, typically based on min-max formulations, often suffer excessive conservativeness. One of the main reasons for this is that the control action is based on the open-loop prediction of the evolution of the system, because the uncertainty due to the disturbance grows as time proceeds on the prediction horizon. On the other hand, such an effect can be moderated by adopting a closed-loop prediction. In this paper, closed-loop prediction is achieved by including a free feedback matrix gain in the set of optimization variables. This allows one to balance computational burden and reduction of conservativeness
date: 1998
date_type: published
publication: Proc. 37th IEEE Conf. on Decision and Control
volume: 2
publisher: IEEE
place_of_pub: Tampa, Florida, December 1998
pagerange: 1384-1391
event_dates: Tampa, FL
id_number: 10.1109/CDC.1998.758479
refereed: TRUE
isbn: 0-7803-4394-8 
book_title: Decision and Control Conference
official_url: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=758479&isnumber=16376
citation:   Bemporad, Alberto  Reducing conservativeness in predictive control of constrained systems with disturbances.   In:  Decision and Control Conference.   IEEE, Tampa, Florida, December 1998, pp. 1384-1391.  ISBN 0-7803-4394-8       (1998)