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Modelling Interactions of a Microbial Community through an Optimal Tracking Control Approach

Abstract : Genetic sequencing measurements of the existing species in a reactor are incorporated into a classic chemostat model through a non linear optimal tracking approach. The framework is applied to data coming from a nitrification process , resulting in a dynamical system with a high dimensional state. The observed ecological dynamics from the bacterial species are able to explain the substrates dynamics.
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https://hal.inrae.fr/hal-02954751
Contributor : Jérôme Harmand <>
Submitted on : Thursday, October 1, 2020 - 12:07:39 PM
Last modification on : Friday, March 5, 2021 - 3:28:41 AM
Long-term archiving on: : Monday, January 4, 2021 - 8:47:17 AM

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Pablo Ugalde-Salas, Jérôme Harmand, Elie Desmond-Le Quéméner. Modelling Interactions of a Microbial Community through an Optimal Tracking Control Approach. 2020 European Control Conference (ECC), May 2020, Sant Petersburg, Russia. pp.587-592, ⟨10.23919/ECC51009.2020.9143828.⟩. ⟨hal-02954751⟩

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