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Por favor, use este identificador para citar o enlazar este ítem: http://uvadoc.uva.es/handle/10324/29487
Título: Developing Grey-Box Dynamic Process Models
Autor: Prada Moraga, César de
Hose, Dominik
Gutierrez, Gloria
Pitarch, José Luis
Congreso: 9th Vienna International Conference on Mathematical Modelling (MATHMOD 2018)
Año del Documento: 2018
Editorial: Elsevier
Descripción Física: 6 p.
Descripción: Producción Científica
Documento Fuente: Felix Breitenecker, Wolfgang Kemmetmüller, Andreas Körner, Andreas Kugi and Inge Troch. 9th Vienna International Conference on Mathematical Modelling. Viena: TU Wien, 2018, p. 523-528
Resumen: 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 to identify the structure and parameters of the remaining parts of the model. The method is illustrated in a challenging biotechnological process: the Acetone-Butanol-Ethanol (ABE) fermentation process.
Palabras Clave: modelling methodology
grey-box model
structure
identification
fermentation process
DOI: 10.1016/j.ifacol.2018.03.088
Patrocinador: MINECO/FEDER Grant DPI2015-70975 (INOPTCON)
EU H2020-SPIRE Grant Agreement nº 723575 (CoPro)
Patrocinador: info:eu-repo/grantAgreement/EC/H2020/723575
Version del Editor: https://doi.org/10.1016/j.ifacol.2018.03.088
Propietario de los Derechos: Elsevier
Idioma: eng
URI: http://uvadoc.uva.es/handle/10324/29487
Derechos: info:eu-repo/semantics/openAccess
Aparece en las colecciones:Documentos OpenAire(Open Access Infrastructure for Research in Europe)
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