eprintid: 465
rev_number: 10
eprint_status: archive
userid: 7
dir: disk0/00/00/04/65
datestamp: 2011-07-27 09:19:26
lastmod: 2014-07-16 14:11:36
status_changed: 2011-07-27 09:19:26
type: article
metadata_visibility: show
item_issues_count: 0
creators_name: Bemporad, Alberto
creators_name: Mosca, Edoardo
title: Fulfilling hard constraints in uncertain linear systems by reference managing
ispublished: pub
subjects: QA75
subjects: TJ
divisions: CSA
full_text_status: none
keywords: Constraint satisfaction problems; robustness; nonlinear filters; optimization problems; reference input signals
abstract: A method based on conceptual tools of predictive control is described for tackling tracking problems of uncertain linear systems wherein pointwise-in-time input and/or state inequality constraints are present. The method consists of adding to a primal compensated system a nonlinear device called predictive reference filter which manipulates the desired reference in order to fulfill the prescribed constraints. Provided that an admissibility condition on the initial state is satisfied, the control scheme is proved to fulfill the constraints, as well as stability and set-point tracking requirements, for all systems whose impulse/step responses lie within given uncertainty ranges.
date: 1998-04
date_type: published
publication: Automatica
volume: 34
number: 4
publisher: Elsevier
pagerange: 451-461
id_number: 10.1016/S0005-1098(97)00213-6
refereed: TRUE
issn: 0005-1098
official_url: http://www.sciencedirect.com/science/article/pii/S0005109897002136
citation:   Bemporad, Alberto and Mosca, Edoardo  Fulfilling hard constraints in uncertain linear systems by reference managing.  Automatica, 34 (4).  pp. 451-461.  ISSN 0005-1098      (1998)