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Advanced model predictive control strategies for evaporation processes in the pharmaceutical industries

  • Published:2023-05 Issue: Volume:173 Page:108212
  • ISSN:0098-1354
  • Container-title:Computers & Chemical Engineering
  • language:en
  • Short-container-title:Computers & Chemical Engineering

Author:

Nașcu Ioana,Diangelakis Nikolaos A.,Muñoz Salvador García,Pistikopoulos Efstratios N.

Funder

Texas A and M University

Energy Institute, Texas A and M University

Eli Lilly and Company

Publisher

Elsevier BV

Subject

Computer Science Applications,General Chemical Engineering

Reference35 articles.

1. The explicit linear quadratic regulator for constrained systems;Bemporad;Automatica,2002

2. Process control in evaporation and drying;Bloore;Dairy Powders Conc. Prod.,2009

3. The essentials of continuous evaporation;Bryan,2018

4. Model based predictive control, invited chapter;De Keyser,2003

5. A review on the modernization of pharmaceutical development and manufacturing – Trends, perspectives, and the role of mathematical modeling;Destro;Int. J. Pharm.,2022

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1. Fuzzy-Inverse-Model-Based Networked Tracking Control Frameworks of Time-Varying Signals;IEEE/CAA Journal of Automatica Sinica;2024-07

2. Alternating Aeration Control And Optimization In Activated Sludge Processes;2024 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR);2024-05-16

3. Model Predictive Control Strategies for Continuous Manufacturing Processes;Computer Aided Chemical Engineering;2024

4. Monitor and Control of Drug Preparation using Deep Q Neural Network;2023 7th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC);2023-10-11

5. Multi-Parametric Model Predictive Control Strategies for a Rotary Tablet Press in Pharmaceutical Industry;2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC);2023-10-01
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