Implementation of a neural network MPC for heat exchanger network temperature control
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Chemical Engineering
Link
https://link.springer.com/content/pdf/10.1007/s43153-020-00058-2.pdf
Reference49 articles.
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2. Al-Malah KI (2016) Heat exchanger (H.E.) design. In: Aspen Plus®. Wiley, New York. https://doi.org/10.1002/9781119293644.ch10
3. Åström K, Hägglund T (2004) Revisiting the ZieglerNichols step response method for PID control. J Process Control 14:635–650. https://doi.org/10.1016/j.jprocont.2004.01.002
4. Bakošová M, Oravec J (2014) Robust model predictive control for heat exchanger network. Appl Thermal Eng 73:924–930. https://doi.org/10.1016/j.applthermaleng.2014.08.023
5. Braccia L, Marchetti PA, Luppi P, Zumoffen D (2018) A Sequential Integration between Optimal Flexible Heat Exchanger Network Synthesis and Control Structure Design. Ind Eng Chem Res 57:11094–11111. https://doi.org/10.1021/acs.iecr.8b01611
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