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Observers for microbial ecology - How including molecular data into bioprocess modeling ?

Maxime Dumont 1 Alain Rapaport 2, 3 Jérôme Harmand 1 Boumediene Benyahia 4 Jean-Jacques Godon 1
1 LBE - Laboratoire de Biotechnologie de l'Environnement [Narbonne]
2 MERE - Water Resource Modeling
CRISAM - Inria Sophia Antipolis - Méditerranée , INRA - Institut National de la Recherche Agronomique : UMR0729
3 MISTEA - Mathématiques, Informatique et STatistique pour l'Environnement et l'Agronomie
4 LAT - Laboratoire d'Automatique de Tlemcen
Abstract : In this paper, we show how specific tools of automatic control, and in particular nonlinear observer theory can be exploited together with microbiological data to answer the important ecological problem of assigning a function to the species of ecosystems for a large class of biosystems. Preliminary experimental results are also presented.
Mots-clés : contrôle automatique biologie moleculaire
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Conference papers
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https://hal.inria.fr/hal-00857833
Contributor : Alain Rapaport <>
Submitted on : Wednesday, September 4, 2013 - 10:03:31 AM
Last modification on : Thursday, July 2, 2020 - 2:11:19 PM

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INRIA | AGROPOLIS | INRA | MONTPELLIER-SUPAGRO | INRAE

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Maxime Dumont, Alain Rapaport, Jérôme Harmand, Boumediene Benyahia, Jean-Jacques Godon. Observers for microbial ecology - How including molecular data into bioprocess modeling ?. Mediterranean Conference on Control and Automation, Jun 2008, Ajaccio, France. pp.221-226, ⟨10.1109/MED.2008.4602004⟩. ⟨hal-00857833⟩

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