eprintid: 2472
rev_number: 7
eprint_status: archive
userid: 6
dir: disk0/00/00/24/72
datestamp: 2015-01-13 14:08:50
lastmod: 2015-01-13 14:08:50
status_changed: 2015-01-13 14:08:50
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: Fixed-order FIR approximation of linear systems from quantized input and output data 
ispublished: pub
subjects: QA75
divisions: CSA
full_text_status: public
keywords: FIR models; Linear programming; Quantized identification; Robust optimization
abstract: Abstract The problem of identifying a fixed-order {FIR} approximation of linear systems with unknown structure, assuming that both input and output measurements are subjected to quantization, is dealt with in this paper. A fixed-order {FIR} model providing the best approximation of the input–output relationship is sought by minimizing the worst-case distance between the output of the true system and the modeled output, for all possible values of the input and output data consistent with their quantized measurements. The considered problem is firstly formulated in terms of robust optimization. Then, two different algorithms to compute the optimum of the formulated problem by means of linear programming techniques are presented. The effectiveness of the proposed approach is illustrated by means of a simulation example. 
date: 2013-12
date_type: published
publication: Systems & Control Letters
volume: 62
number: 12
publisher: Elsevier
pagerange: 1136 - 1142
id_number: 10.1016/j.sysconle.2013.09.012
refereed: TRUE
issn: 0167-6911
official_url: http://www.sciencedirect.com/science/article/pii/S0167691113001990
citation:   Cerone, Vito and Piga, Dario and Regruto, Diego  Fixed-order FIR approximation of linear systems from quantized input and output data.  Systems & Control Letters, 62 (12).  1136 - 1142.  ISSN 0167-6911      (2013)  
document_url: http://eprints.imtlucca.it/2472/1/SCLPreprintPiga.pdf