Robustness of a feedback optimization scheme with application to bioprocess manufacturing
Abstract
In this work the robustness of a feedback optimization scheme is discussed. Previously known results in literature, on the convergence to local optima of the optimization problem of interest, are extended to the case where the sensitivities of the steady-state input-output map of the plant present bounded uncertainties. The application of the scheme to a biological setting, with the goal of maximizing the concentration of products of interest in a bioreactor, under a continuous perfusion framework, is suggested and the potential of the approach is exposed by means of a simple synthetic example. This extended version contains also the Numerical data for example in "Robustness of a feedback optimization scheme with application to bioprocess manufacturing" report, for the sake of reproducibility of the results.
Cite
@article{arxiv.2103.16567,
title = {Robustness of a feedback optimization scheme with application to bioprocess manufacturing},
author = {Mirko Pasquini and Kévin Colin and Véronique Chotteau and Håkan Hjalmarsson},
journal= {arXiv preprint arXiv:2103.16567},
year = {2021}
}
Comments
Submitted to the 2021 60th IEEE Conference on Decision and Control (CDC). Extended version containing Numerical data for example in "Robustness of a feedback optimization scheme with application to bioprocess manufacturing"