Communication Dans Un Congrès Année : 2021

Hierarchical MPC applied to bacterial resource allocation and metabolite synthesis

Résumé

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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Dates et versions

hal-03189960 , version 1 (05-04-2021)
hal-03189960 , version 2 (09-01-2023)

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Agustín G. 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. pp.667-672, ⟨10.1109/CDC45484.2021.9683025⟩. ⟨hal-03189960v2⟩
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