Deep learning model predictive control of a high-density polyethylene reactor with a physics-guided sequence-to-sequence model with memory

Zhen-Feng Jiang,Xi-Zhan Wei,Jia-Lin Kang,David Shan-Hill Wong,Yuan Yao,Yao-Chen Chuang,Shi-Shang Jang,John Di-Yi Ou

doi:10.1016/j.compchemeng.2024.108790

Deep learning model predictive control of a high-density polyethylene reactor with a physics-guided sequence-to-sequence model with memory

Zhen-Feng Jiang, Xi-Zhan Wei + Show 6 more

https://doi.org/10.1016/j.compchemeng.2024.108790

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Journal: Computers and Chemical Engineering

Publication Date: Jul 3, 2024

#Nonlinear Model Predictive Control System #Grade Transitions #Chemical Process Industry #Nonlinear Time Series #Memory Layer #Model Predictive Control #Steady-state Control #Deep Learning Model #High-density Polyethylene #Key State Variables

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Deep learning model predictive control of a high-density polyethylene reactor with a physics-guided sequence-to-sequence model with memory