Applications of machine learning for modeling and advanced control of crystallization processes: Developments and perspectives

Applications of machine learning for modeling and advanced control of crystallization processes: Developments and perspectives

Crystallization is a separation method relevant to the production of medicines, food and many other products. An efficient crystallization process must obtain a product with the desired size, length, and purity. Therefore, models and control schemes are applied to achieve this goal. Artificial intel...

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Bibliographic Details
Main Authors: Fernando Arrais R.D. Lima, Marcellus G.F. de Moraes, Amaro G. Barreto, Jr, Argimiro R. Secchi, Martha A. Grover, Maurício B. de Souza, Jr
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Digital Chemical Engineering
Subjects:
Crystallization models
Crystallization control
Machine learning
Hybrid models
Reinforcement learning
Nonlinear model predictive control
Online Access:http://www.sciencedirect.com/science/article/pii/S277250812400070X
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