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Engineering Optimization Volume 51, 2019 - Issue 5
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Original Articles

Robust economic model predictive control: disturbance rejection, robustness and periodic operation in chemical reactors

Omar SantanderDepartment of Chemical Engineering, University of Waterloo, Waterloo, ON, CanadaView further author information
,
Ali ElkamelDepartment of Chemical Engineering, University of Waterloo, Waterloo, ON, Canada;Department of Chemical Engineering, Khalifa University, The Petroleum Institute, Abu Dhabi, UAEView further author information
&
Hector BudmanDepartment of Chemical Engineering, University of Waterloo, Waterloo, ON, CanadaCorrespondence[email protected]
View further author information
Pages 896-914 | Received 03 Oct 2017, Accepted 22 Jun 2018, Published online: 02 Aug 2018

Citations (12)

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Z. B. Sun, T. T. Heng, L. M. Zhao, S. S. Liu, Y. F. Lian & K. P. Liu. A trajectory tracking method based on robust model predictive control for a bionic ankle–foot aided by a tensegrity mechanism. Engineering Optimization 0:0, pages 1-23.
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Articles from other publishers (11)

Omar Santander, Vidyashankar Kuppuraj, Christopher A. Harrison & Michael Baldea. (2023) A machine learning framework for improving refinery production planning. AIChE Journal 69:8.
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Omar Santander, Vidyashankar Kuppuraj, Christopher A. Harrison & Michael Baldea. (2023) A Bayesian approach to improving production planning. Computers & Chemical Engineering 173, pages 108226.
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Omar Santander, Vidyashankar Kuppuraj, Christopher A. Harrison & Michael Baldea. (2023) Integrated Production Planning and Model Predictive Control of a Fluidized Bed Catalytic Cracking-Fractionator Unit. Industrial & Engineering Chemistry Research 62:6, pages 2752-2767.
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Andre S. Yamashita, Wellington T. Martins, Thomás V. B. Pinto, Guilherme V. Raffo & Thiago A. M. Euzébio. (2023) Multiobjective Tuning Technique for MPC in Grinding Circuits. IEEE Access 11, pages 43041-43054.
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Haitham Osman & Amir Arabi. (2022) Distillation Column Machine Learning Model Controlled By Optimized DMC. Distillation Column Machine Learning Model Controlled By Optimized DMC.
Omar Santander, Vidyashankar Kuppuraj, Christopher A. Harrison & Michael Baldea. (2022) Integrated deep learning-production planning-economic model predictive control framework for large-scale processes. A fluid catalytic cracker-fractionator case study. Computers & Chemical Engineering 167, pages 107977.
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Omar Santander, Vidyashankar Kuppuraj, Christopher A. Harrison & Michael Baldea. (2022) Deep learning economic model predictive control for refinery operation: A fluid catalytic cracker - fractionator case study. Deep learning economic model predictive control for refinery operation: A fluid catalytic cracker - fractionator case study.
Hamid Keshmiri Neghab, Mohammad (Behdad) Jamshidi & Hamed Keshmiri Neghab. (2022) Digital Twin of a Magnetic Medical Microrobot with Stochastic Model Predictive Controller Boosted by Machine Learning in Cyber-Physical Healthcare Systems. Information 13:7, pages 321.
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Jun Wang, Baocang Ding & Ping Wang. (2021) Aperiodic event‐triggered robust model predictive control for linear parameter‐varying system with round‐robin protocol. International Journal of Robust and Nonlinear Control 32:1, pages 227-242.
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Alireza Nazmadini, Alimorad Khajeh Zadeh & Mehdi Jafari Shahbaz Zadeh. (2021) A distributed network‐based economic model predictive control for networked smart energy systems considering communication network constraints. IET Generation, Transmission & Distribution 15:6, pages 1043-1055.
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Omar Santander, Christopher L. Betts, Erin E. Archer & Michael Baldea. (2020) On the interaction and integration of production planning and (advanced) process control. Computers & Chemical Engineering 133, pages 106627.
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