eprintid: 2464
rev_number: 5
eprint_status: archive
userid: 6
dir: disk0/00/00/24/64
datestamp: 2015-01-12 14:32:40
lastmod: 2015-01-12 14:32:40
status_changed: 2015-01-12 14:32:40
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: Improved parameter bounds for set-membership EIV problems
ispublished: pub
subjects: QA75
divisions: CSA
full_text_status: none
note: Special Issue: Bounding Methods for State and Parameter Estimation
abstract: In this paper, we consider the set-membership error-in-variables identification problem, that is the identification of linear dynamic systems when output and input measurements are corrupted by bounded noise. A new approach for the computation of parameters uncertainty intervals is presented. First, the problem is formulated in terms of nonconvex optimization. Then, a relaxation procedure is proposed to compute parameter bounds by means of semidefinite programming techniques. Finally, accuracy of the estimate and computational complexity of the proposed algorithm are discussed. Advantages of the proposed technique with respect to previously published ones are discussed both theoretically and by means of a simulated example
date: 2010-12
date_type: published
publication: International Journal of Adaptive Control and Signal Processing
volume: 25
number: 3
publisher: Wiley
pagerange: 208-227
id_number: doi:10.1002/acs.1218
refereed: TRUE
issn: 08906327
official_url: http://dx.doi.org/10.1002/acs.1218
citation:   Cerone, Vito and Piga, Dario and Regruto, Diego  Improved parameter bounds for set-membership EIV problems.  International Journal of Adaptive Control and Signal Processing, 25 (3).  pp. 208-227.  ISSN 08906327      (2010)