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dc.contributor.author | de Prada, César | |
dc.contributor.author | Hose, D. | |
dc.contributor.author | Gutiérrez Rodríguez, Gloria | |
dc.contributor.author | Pitarch, José Luis | |
dc.date.accessioned | 2024-02-09T18:02:31Z | |
dc.date.available | 2024-02-09T18:02:31Z | |
dc.date.issued | 2018 | |
dc.identifier.citation | 9th Vienna International Conference on Mathematical Modelling. IFAC. Viena, Austria., 2018, p. 523-528 | es |
dc.identifier.isbn | 2405-8963 | es |
dc.identifier.uri | https://uvadoc.uva.es/handle/10324/66104 | |
dc.description | Producción Científica | es |
dc.description.abstract | This paper presents a methodology for developing grey models of process systems, that is, models that, being based on fundamental principles and laws of nature, combine them with sub-models obtained from experimental data. The method follows two steps: the first one takes advantage of what is known, while the second uses the data and mixed-integer optimization algorithms of identify the structure and parameters of the remaining parts of the model. The methods is illustrated in a challenging biotechnological process: the Acetone-Butanol-Ethanol (ABE) fermentation process. | es |
dc.format.mimetype | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | Elsevier | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.subject.classification | Modelling methodology, grey-box models, structure, identification, fermentation process | es |
dc.title | Developing Grey-Box Dynamic Process Models | es |
dc.type | info:eu-repo/semantics/conferenceObject | es |
dc.identifier.doi | 10.1016/j.ifacol.2018.03.088 | es |
dc.relation.publisherversion | https://www.sciencedirect.com/journal/ifac-papersonline/vol/51/issue/2 | es |
dc.title.event | 9th Vienna International Conference on Mathematical Modelling. IFAC. | es |
dc.type.hasVersion | info:eu-repo/semantics/publishedVersion | es |