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Conference papers

Hierarchical MPC applied to bacterial resource allocation and metabolite synthesis

Agustín Gabriel yabo 1, 2 Jean-Baptiste Caillau 2, 3, 4 Jean-Luc Gouzé 1 
1 BIOCORE - Biological control of artificial ecosystems
CRISAM - Inria Sophia Antipolis - Méditerranée , LOV - Laboratoire d'océanographie de Villefranche, INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement
2 McTAO - Mathematics for Control, Transport and Applications
CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : Microorganisms have evolved submitted to a continuous optimisation process that has improved their capacity to proliferate in nature, developing highly optimized distribution mechanisms of their resources. Considering the microbial selfreplication process as a resource allocation problem is a novel approach that has motivated numerous applications to the artificial production of metabolites of interest. Model-based optimal control studies are essential in understanding these naturally-evolved allocation strategies, but they are usually represented by open-loop control laws. In this context, we introduce a hierarchical shrinking-horizon non-linear MPC scheme that aims to maximise the production of a metabolite of interest. The control loop acts on an external signal that is able to disrupt the natural allocation process. The approach uses an optimal control-based input parametrisation that takes into account the structure of the open-loop natural allocation strategy of the cell, to emulate a closed-loop control law. We provide examples of the open-loop control strategies, and simulations of the hierarchical scheme.
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Contributor : Jean-Baptiste Caillau Connect in order to contact the contributor
Submitted on : Monday, April 5, 2021 - 4:29:09 PM
Last modification on : Saturday, June 25, 2022 - 11:50:00 PM
Long-term archiving on: : Tuesday, July 6, 2021 - 6:07:22 PM


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  • HAL Id : hal-03189960, version 1


Agustín Gabriel yabo, Jean-Baptiste Caillau, Jean-Luc Gouzé. Hierarchical MPC applied to bacterial resource allocation and metabolite synthesis. CDC 2021 - 60th IEEE Conference on Decision and Control, Dec 2021, Austin, United States. ⟨hal-03189960⟩



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