Please use this identifier to cite or link to this item: https://hdl.handle.net/10316/3790
DC FieldValueLanguage
dc.contributor.authorLima, Pedro V.-
dc.contributor.authorSaraiva, Pedro M.-
dc.date.accessioned2008-08-29T15:26:27Z-
dc.date.available2008-08-29T15:26:27Z-
dc.date.issued2007en_US
dc.identifier.citationComputers & Chemical Engineering. 31:4 (2007) 361-373en_US
dc.identifier.urihttps://hdl.handle.net/10316/3790-
dc.description.abstractIn the core of many process systems engineering tasks, like design, control, optimization and fault diagnosis, a mathematical model of the underlying plant plays a key role. Such models are so important that extensive studies are available, recommending different modeling techniques to be adopted for specific processes or goals. It is usual and practical to split modeling techniques under two main groups: mechanistic methods and empirical or statistical methods. Both paradigms have been adopted, but very few frameworks were developed to combine and integrate features from both of them. In this article we describe a framework for data-driven evolution of static mechanistic models with a selective inclusion of simple empirical terms. To illustrate its practical potential, our framework is applied to the identification of a non-ideal reactor and to the optimization of the Otto-Williams benchmark reactor.en_US
dc.description.urihttp://www.sciencedirect.com/science/article/B6TFT-4KVXHNR-1/1/7e879ee05d9d1027edc73b6755953346en_US
dc.format.mimetypeaplication/PDFen
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectSemi-mechanistic modelen_US
dc.subjectHybrid modelen_US
dc.subjectModellingen_US
dc.subjectParameter identificationen_US
dc.subjectOptimizationen_US
dc.subjectSimulationen_US
dc.titleA semi-mechanistic model building framework based on selective and localized model extensionsen_US
dc.typearticleen_US
dc.identifier.doi10.1016/j.compchemeng.2006.07.006-
uc.controloAutoridadeSim-
item.fulltextCom Texto completo-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextopen-
item.languageiso639-1en-
item.openairetypearticle-
item.cerifentitytypePublications-
crisitem.author.researchunitCIEPQPF – Chemical Process Engineering and Forest Products Research Centre-
crisitem.author.parentresearchunitFaculty of Sciences and Technology-
crisitem.author.orcid0000-0002-4465-4597-
Appears in Collections:FCTUC Eng.Química - Artigos em Revistas Internacionais
Files in This Item:
File Description SizeFormat
file3c2a36dff1a44ac29aa8fffe15e6588d.pdf618.75 kBAdobe PDFView/Open
Show simple item record

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.