relation: http://eprints.imtlucca.it/2473/
title: A convex relaxation approach to set-membership identification of LPV systems 
creator: Cerone, Vito
creator: Piga, Dario
creator: Regruto, Diego
subject: QA75 Electronic computers. Computer science
description: 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. 
publisher: Elsevier 
date: 2013-09
type: Article
type: PeerReviewed
format: application/pdf
language: en
identifier: http://eprints.imtlucca.it/2473/1/Aut2013PigaPreprint.pdf
identifier:   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)  
relation: http://www.sciencedirect.com/science/article/pii/S0005109813003117
relation: 10.1016/j.automatica.2013.05.028