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Dynamical modelling, identification and software sensors for SBRs H. Fibrianto 1163868-0 Djalel Mazouni 1531491-0 Mariya Ignatova 522326-0 Marie Herveau 1911976-0 Jérôme Harmand 7399d54825b7fcb862b85ab1c426ad40 inra.fr jerome-harmand 736374 12004-736374 https://orcid.org/0000-0002-8653-3582 https://www.idref.fr/132145308 Denis Dochain 499347-0 Migration ProdInra 9e5ed7d56b52b3d4383123b1ffb42236 inrae.fr 2020-05-31 11:13:52 2026-04-10 14:18:04 2020-05-31 11:13:52 2008 inra_publicVise_local_SC contributor Migration ProdInra 9e5ed7d56b52b3d4383123b1ffb42236 inrae.fr CCSD hal-02667692 https://hal.inrae.fr/hal-02667692 fibrianto:hal-02667692 <i>Mathematical and Computer Modelling of Dynamical Systems</i>, 2008, 14 (1), pp.17-26. <a target="_blank" href="https://dx.doi.org/10.1080/13873950701723176">⟨10.1080/13873950701723176⟩</a> Mathematical and Computer Modelling of Dynamical Systems, 2008, 14 (1), pp.17-26. ⟨10.1080/13873950701723176⟩ INRA - Institut national de la recherche agronomique Agropolis Archive ouverte en agrobiosciences Institut Agro Montpellier Institut National de Recherche en Agriculture, Alimentation et Environnement INRAE Occitanie Montpellier Laboratoire de Biotechnologie de l'Environnement Institut Agro International No Yes Dynamical modelling, identification and software sensors for SBRs H. Fibrianto 1163868-0 Djalel Mazouni 1531491-0 Mariya Ignatova 522326-0 Marie Herveau 1911976-0 Jérôme Harmand 7399d54825b7fcb862b85ab1c426ad40 inra.fr jerome-harmand 736374 12004-736374 https://orcid.org/0000-0002-8653-3582 https://www.idref.fr/132145308 Denis Dochain 499347-0 16913 1387-3954 Mathematical and Computer Modelling of Dynamical Systems Taylor & Francis 14 1 17-26 2008 10.1080/13873950701723176 33856 000252959300003 English EOLI PROJECT WASTEWATER TREATMENT STATE ESTIMATION PARAMETER IDENTIFICATION MODELLING BIOPROCESS Computer Science [cs]/Mathematical Software [cs.MS] dépollution modèle mathématique dynamique effluent Journal articles Journal articles Journal articles

This paper presents the two models, called EM1 and EM2, obtained for the two process configurations considered within the EOLI project. It also gives results of software sensors based on these models to provide on-line estimates of unmeasured process variables, and for which the design has considered in particular uncertainty on the model parameters.

Centre for systems engineering and applied mechanics [Louvain] CESAME

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http://www.uclouvain.be/en-csam.html 195917820C Laboratoire de Biotechnologie de l'Environnement [Narbonne] LBE 1964-01-01 2019-12-31

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https://www.uclouvain.be/fr https://ror.org/01x3gbx83 Institut National de la Recherche Agronomique INRA 1946-05-18 2019-12-31

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