  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.
