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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

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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2. Data-driven model predictive control for continuous pharmaceutical manufacturing;International Journal of Pharmaceutics;2025-03

3. Application of Model Based Predictive Control for a Rotary Tablet Press;2024 4th International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME);2024-11-04

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

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