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Optimal synthesis for the minimum time control problems of fed-batch bioprocesses for growth functions with two maxima

Térence Bayen 1 Pedro Gajardo 2, 3 Francis Mairet 4, 5
4 Anlysis and Mathematical Modeling, Valparaiso
Departamento de Matematica [Valparaiso]
5 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
Abstract : We address the problem of finding an optimal feedback control for feeding a fed-batch bioreactor with one species and one substrate from a given initial condition to a given target value in a minimal amount of time. Recently, the optimal synthesis (optimal feeding strategy) has been obtained in systems in which the microorganisms involved are represented by increasing growth functions or growth functions with one maxima, with either Monod or Haldane functions, respectively (widely used in bioprocesses modeling). In the present work, we allow impulsive controls corresponding to instantaneous dilutions, and we assume that the growth function of the microorganism present in the process has exactly two local maxima. This problem has been considered from a numerical point of view in \cite{Rapa1} without impulsive controls. In this article, we introduce two singular arc feeding strategies, and we define explicit regions of initial conditions in which the optimal strategy is either the first singular arc strategy or the second strategy.
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Térence Bayen, Pedro Gajardo, Francis Mairet. Optimal synthesis for the minimum time control problems of fed-batch bioprocesses for growth functions with two maxima. Journal of Optimization Theory and Applications, Springer Verlag, 2013, 158 (2), pp.521-553. ⟨10.1007/s10957-012-0225-0⟩. ⟨hal-00655534v3⟩

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