Leveraging Historical Process Data for Recombinant <i>P. pastoris</i> Fermentation Hybrid Deep Modeling and Model Predictive Control Development

Leveraging Historical Process Data for Recombinant <i>P. pastoris</i> Fermentation Hybrid Deep Modeling and Model Predictive Control Development

Hybrid modeling techniques are increasingly important for improving predictive accuracy and control in biomanufacturing, particularly in data-limited conditions. This study develops and experimentally validates a hybrid deep learning model predictive control (MPC) framework for recombinant <i>...

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Bibliographic Details
Main Authors: Emils Bolmanis, Vytautas Galvanauskas, Oskars Grigs, Juris Vanags, Andris Kazaks
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Fermentation
Subjects:
<i>Pichia pastoris</i>
hybrid process model
deep learning
Bayesian optimization
hybrid model architecture screening
transfer learning
Online Access:https://www.mdpi.com/2311-5637/11/7/411
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