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Found 4 papers, 1 papers with code
Handling nonlinearities and uncertainties of fed-batch cultivations with difference of convex functions tube MPC
Bioprocesses are often characterized by nonlinear and uncertain dynamics.
Model predictive control and moving horizon estimation for adaptive optimal bolus feeding in high-throughput cultivation of \textit{E. coli}
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.
Model predictive control guided with optimal experimental design for pulse-based parallel cultivation
Optimal experimental design for parameter precision attempts to maximize the information content in experimental data for a most effective identification of parametric model.
Knowledge transfer across cell lines using Hybrid Gaussian Process models with entity embedding vectors
Could we exploit data of already developed processes to make predictions for a novel process, we could significantly reduce the number of experiments needed.
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