Comparison of physics‐based and data‐driven modelling techniques for dynamic optimisation of fed‐batch bioprocesses

The development of digital bioprocessing technologies is critical to operate modern industrial bioprocesses. This study conducted the first investigation on the efficiency of using physics‐based and data‐driven models for the dynamic optimisation of long‐term bioprocess. More specifically, this stud...

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Veröffentlicht in:	Biotechnology and bioengineering 2019-11, Vol.116 (11), p.2971-2982
Hauptverfasser:	Del Rio‐Chanona, Ehecatl Antonio, Ahmed, Nur Rashid, Wagner, Jonathan, Lu, Yinghua, Zhang, Dongda, Jing, Keju
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms artificial neural network Bioprocessing dynamic optimisation fed‐batch operation Inflow kinetic modelling Light intensity Luminous intensity Lutein machine learning Modelling Optimal control Optimization Physics Predictions
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