?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.relation=http%3A%2F%2Feprints.imtlucca.it%2F2430%2F&rft.title=Data-driven+LPV+modeling+of+continuous+pulp+digesters&rft.creator=Piga%2C+Dario&rft.creator=T%C3%B3th%2C+Roland&rft.subject=QA75+Electronic+computers.+Computer+science&rft.description=In+this+technical+report%2C+the+LPV-IO+identification+techniques+described+in+Kauven+et+al.+%5B2013%5D%0D%0A(Chapter+5)+are+applied+in+order+to+estimate+an+LPV+model+of+a+continuous+pulp+digester.+The+pulp%0D%0Adigester+simulator+(described+in+Mod%C3%A9n+%5B2011%5D)+has+been+provided+by+ABB+for+benchmark+studies%0D%0Aas+part+of+its+participation+in+the+EU+project+Autoprofit&rft.publisher=University+of+Technology%2C+Eindhoven&rft.date=2013-05&rft.type=Working+Paper&rft.type=NonPeerReviewed&rft.format=application%2Fpdf&rft.language=en&rft.identifier=http%3A%2F%2Feprints.imtlucca.it%2F2430%2F1%2FTUECS2013002.pdf&rft.identifier=++Piga%2C+Dario+and+T%C3%B3th%2C+Roland++Data-driven+LPV+modeling+of+continuous+pulp+digesters.++Technical+Report++%23002%2F2013++++University+of+Technology%2C+Eindhoven+++++++(Unpublished)+++