no code implementations • 14 Mar 2022 • Jong Woo Kim, Niels Krausch, Judit Aizpuru, Tilman Barz, Sergio Lucia, Peter Neubauer, Mariano Nicolas Cruz Bournazou
We discuss the application of a nonlinear model predictive control (MPC) and a moving horizon estimation (MHE) to achieve an optimal operation of \textit{E. coli} fed-batch cultivations with intermittent bolus feeding.
no code implementations • 25 Dec 2021 • Judit Aizpuru, Annina Karolin Kemmer, Jong Woo Kim, Stefan Born, Peter Neubauer, Mariano N. Cruz Bournazou, Tilman Barz
TheDissolved Oxygen Tension is often the only measurement which is available online, and therefore, a good understanding of the errors in this signal is important for performing a robust estimation. Some of the expected errors will provoke uncertainties in the time-domain of the measurement, and in those cases, the common Weighted Least Squares estimation procedure can fail providing good results.
no code implementations • 20 Dec 2021 • Jong Woo Kim, Niels Krausch, Judit Aizpuru, Tilman Barz, Sergio Lucia, Ernesto C. Martínez, Peter Neubauer, Mariano Nicolas Cruz Bournazou
Optimal experimental design for parameter precision attempts to maximize the information content in experimental data for a most effective identification of parametric model.