relation: http://eprints.imtlucca.it/2468/
title: Bounded error identification of Hammerstein systems through sparse polynomial optimization 
creator: Cerone, Vito
creator: Piga, Dario
creator: Regruto, Diego
subject: QA75 Electronic computers. Computer science
description: In this paper we present a procedure for the evaluation of bounds on the parameters of Hammerstein systems, from output measurements affected by bounded errors. The identification problem is formulated in terms of polynomial optimization, and relaxation techniques, based on linear matrix inequalities, are proposed to evaluate parameter bounds by means of convex optimization. The structured sparsity of the formulated identification problem is exploited to reduce the computational complexity of the convex relaxed problem. Analysis of convergence properties and computational complexity is reported. 
publisher: Elsevier 
date: 2012-10
type: Article
type: PeerReviewed
format: application/pdf
language: en
identifier: http://eprints.imtlucca.it/2468/1/Aut2012PigaPreprint.pdf
identifier:   Cerone, Vito and Piga, Dario and Regruto, Diego  Bounded error identification of Hammerstein systems through sparse polynomial optimization.  Automatica, 48 (10).  2693 - 2698.  ISSN 0005-1098      (2012)  
relation: http://www.sciencedirect.com/science/article/pii/S0005109812003482
relation: 10.1016/j.automatica.2012.06.078