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Optimal Synthesis for the Minimum Time Control Problems of Fed-Batch Bioprocesses for Growth Functions with Two Maxima

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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 tackled from a numerical point of view 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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Acknowledgements

We would like to thank the referees for meticulous reading of the manuscript and for several suggestions that improved the presentation.

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Correspondence to Térence Bayen.

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Communicated by Mimmo Iannelli.

This work was supported by the Programa de Financiamiento Basal from the Center of Mathematical Modeling, Universidad de Chile and was developed in the context of DYMECOS INRIA associated team and of the program Stic-AmSud MOMARE. The first author thanks the CNRS and the team DYMECOS for financial support. P. Gajardo and F. Mairet were partially supported by the FONDECYT-Chile program (Nos. 1120239 and 3120117, respectively) and by the Communication and Information Research and Innovation Center (CIRIC).

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Bayen, T., Gajardo, P. & Mairet, F. Optimal Synthesis for the Minimum Time Control Problems of Fed-Batch Bioprocesses for Growth Functions with Two Maxima. J Optim Theory Appl 158, 521–553 (2013). https://doi.org/10.1007/s10957-012-0225-0

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  • DOI: https://doi.org/10.1007/s10957-012-0225-0

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