eprintid: 518
rev_number: 10
eprint_status: archive
userid: 7
dir: disk0/00/00/05/18
datestamp: 2011-07-27 09:18:15
lastmod: 2014-07-16 14:26:41
status_changed: 2011-07-27 09:18:15
type: book_section
metadata_visibility: show
item_issues_count: 0
creators_name: Bemporad, Alberto
creators_name: Morari, Manfred
creators_id: alberto.bemporad@imtlucca.it
creators_id: 
title: Robust model predictive control: a survey
ispublished: pub
subjects: QA75
subjects: TJ
divisions: CSA
full_text_status: none
abstract: This paper gives an overview of robustness in Model Predictive Control (MPC). After reviewing the basic concepts of MPC, we survey the uncertainty descriptions considered in the MPC literature, and the techniques proposed for robust constraint handling, stability, and performance. The key concept of “closedloop prediction” is discussed at length. The paper concludes with some comments on future research directions. 
date: 1999
date_type: published
series: Lecture Notes in Control and Information Sciences
publication: Robustness in Identification and Control
volume: 245
publisher: Springer-Verlag
pagerange: 207-226
id_number: 10.1007/BFb0109870
refereed: TRUE
isbn: 978-1-85233-179-5
book_title: Robustness in Identification and Control
editors_name: Garulli, Andrea
editors_name: Tesi, Alberto
official_url: http://dx.doi.org/10.1007/BFb0109870
citation:   Bemporad, Alberto and Morari, Manfred  Robust model predictive control: a survey.   In:  Robustness in Identification and Control.   Lecture Notes in Control and Information Sciences, 245 .  Springer-Verlag, pp. 207-226.  ISBN 978-1-85233-179-5      (1999)