eprintid: 2430
rev_number: 9
eprint_status: archive
userid: 6
dir: disk0/00/00/24/30
datestamp: 2015-01-08 10:35:27
lastmod: 2015-01-08 10:55:43
status_changed: 2015-01-08 10:35:27
type: monograph
metadata_visibility: show
creators_name: Piga, Dario
creators_name: Tóth, Roland
creators_id: dario.piga@imtlucca.it
creators_id: 
title: Data-driven LPV modeling of continuous pulp digesters
ispublished: unpub
subjects: QA75
divisions: CSA
full_text_status: public
monograph_type: technical_report
keywords: TUE-CS-2013-002
abstract: In this technical report, the LPV-IO identification techniques described in Kauven et al. [2013]
(Chapter 5) are applied in order to estimate an LPV model of a continuous pulp digester. The pulp
digester simulator (described in Modén [2011]) has been provided by ABB for benchmark studies
as part of its participation in the EU project Autoprofit
date: 2013-05
date_type: published
number: 002
publisher: University of Technology, Eindhoven
pages: 12
institution: University of Technology, Eindhoven
department: Control Systems Group, Department of Electrical Engineering
citation:   Piga, Dario and Tóth, Roland  Data-driven LPV modeling of continuous pulp digesters.  Technical Report  #002/2013    University of Technology, Eindhoven       (Unpublished)   
document_url: http://eprints.imtlucca.it/2430/1/TUECS2013002.pdf