eprintid: 2473
rev_number: 7
eprint_status: archive
userid: 6
dir: disk0/00/00/24/73
datestamp: 2015-01-13 14:12:42
lastmod: 2015-01-13 14:12:42
status_changed: 2015-01-13 14:12:42
type: article
metadata_visibility: show
creators_name: Cerone, Vito
creators_name: Piga, Dario
creators_name: Regruto, Diego
creators_id: 
creators_id: dario.piga@imtlucca.it
creators_id: 
title: A convex relaxation approach to set-membership identification of LPV systems 
ispublished: pub
subjects: QA75
divisions: CSA
full_text_status: public
keywords: Bounded-error identification; Convex relaxation; Linear parameter varying; LMI relaxation; Parameter bounds
abstract: Abstract Identification of linear parameter varying models is considered in this paper, under the assumption that both the output and the scheduling parameter measurements are affected by bounded noise. First, the problem of computing parameter uncertainty intervals is formulated in terms of nonconvex optimization. Then, on the basis of the analysis of the regressor structure, we present an ad hoc convex relaxation scheme for computing parameter bounds by means of semidefinite optimization. 
date: 2013-09
date_type: published
publication: Automatica
volume: 49
number: 9
publisher: Elsevier 
pagerange: 2853 - 2859
id_number: 10.1016/j.automatica.2013.05.028
refereed: TRUE
issn: 0005-1098
official_url: http://www.sciencedirect.com/science/article/pii/S0005109813003117
citation:   Cerone, Vito and Piga, Dario and Regruto, Diego  A convex relaxation approach to set-membership identification of LPV systems.  Automatica, 49 (9).  2853 - 2859.  ISSN 0005-1098      (2013)  
document_url: http://eprints.imtlucca.it/2473/1/Aut2013PigaPreprint.pdf