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数据驱动型预测控制模型用于连续制药制造

Consuelo Vega-Zambrano1, Nikolaos A Diangelakis2, Vassilis M Charitopoulos1

  • 1Department of Chemical Engineering, The Sargent Centre for Process Systems Engineering, University College London, Torrington Place, London, WC1E 7JE, UK.

International journal of pharmaceutics
|February 8, 2025
PubMed
概括

使用动态模式分解与控制 (DMDc) 的可解释机器学习模型对于制药连续制造是可行的. 这使实时监控和先进的过程控制成为可能,以提高运营效率和颗粒大小的一致性.

关键词:
连续制药制造业 连续制药制造业数据驱动的控制是数据驱动的控制.动态模式分解分解可以解释性 解释性模型预测控制模型预测控制通过控制来控制质量.双螺丝颗粒机 双螺丝颗粒机

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