scholarly journals Model Predictive Control of an Integrated Continuous Pharmaceutical Manufacturing Pilot Plant

2017 ◽  
Vol 21 (6) ◽  
pp. 844-854 ◽  
Author(s):  
Ali Mesbah ◽  
Joel A. Paulson ◽  
Richard Lakerveld ◽  
Richard D. Braatz
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Pilot Plant ◽  
Pharmaceutical Manufacturing ◽  
Continuous Pharmaceutical Manufacturing

scholarly journals Recurrent Neural Network-Based Model Predictive Control for Continuous Pharmaceutical Manufacturing

Mathematics ◽  
2018 ◽  
Vol 6 (11) ◽  
pp. 242 ◽  
Author(s):  
Wee Wong ◽  
Ewan Chee ◽  
Jiali Li ◽  
Xiaonan Wang
Keyword(s):  
System Identification ◽  
Model Predictive Control ◽  
Predictive Control ◽  
Mathematical Structure ◽  
Pharmaceutical Manufacturing ◽  
Continuous Manufacturing ◽  
Continuous Stirred Tank Reactor ◽  
Process Dynamics ◽  
Continuous Pharmaceutical Manufacturing ◽  
Complex Process

The pharmaceutical industry has witnessed exponential growth in transforming operations towards continuous manufacturing to increase profitability, reduce waste and extend product ranges. Model predictive control (MPC) can be applied to enable this vision by providing superior regulation of critical quality attributes (CQAs). For MPC, obtaining a workable system model is of fundamental importance, especially if complex process dynamics and reaction kinetics are present. Whilst physics-based models are desirable, obtaining models that are effective and fit-for-purpose may not always be practical, and industries have often relied on data-driven approaches for system identification instead. In this work, we demonstrate the applicability of recurrent neural networks (RNNs) in MPC applications in continuous pharmaceutical manufacturing. RNNs were shown to be especially well-suited for modelling dynamical systems due to their mathematical structure, and their use in system identification has enabled satisfactory closed-loop performance for MPC of a complex reaction in a single continuous-stirred tank reactor (CSTR) for pharmaceutical manufacturing.

Optimized continuous pharmaceutical manufacturing via model-predictive control

2016 ◽  
Vol 510 (1) ◽  
pp. 100-115 ◽  
Author(s):  
Jakob Rehrl ◽  
Julia Kruisz ◽  
Stephan Sacher ◽  
Johannes Khinast ◽  
Martin Horn
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Pharmaceutical Manufacturing ◽  
Continuous Pharmaceutical Manufacturing

Model predictive control of a combined electrolyzer-fuel cell educational pilot plant

2017 ◽  
Author(s):  
Deepak Ingole ◽  
Jan Drgona ◽  
Martin Kaluz ◽  
Martin Klauco ◽  
Monika Bakosova ◽  
...  
Keyword(s):  
Fuel Cell ◽  
Model Predictive Control ◽  
Predictive Control ◽  
Pilot Plant
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