Process structure-based recurrent neural network modeling for predictive control: A comparative study

MS Alhajeri, J Luo, Z Wu, F Albalawi… - … Research and Design, 2022 - Elsevier
Recurrent neural networks (RNN) have demonstrated their ability in providing a remarkably
accurate modeling approximation to describe the dynamic evolution of complex, nonlinear …

Process structure-based recurrent neural network modeling for predictive control: A comparative study.

MS Alhajeri, J Luo, Z Wu, F Albalawi… - … Research & Design …, 2022 - search.ebscohost.com
Development of process structure-award RNN models.• RNN model training using plant
data from an ASPEN simulator.• MPC design using various RNN models and …

Process structure-based recurrent neural network modeling for predictive control: A comparative study

MS Alhajeri, J Luo, Z Wu, F Albalawi… - Chemical …, 2022 - ui.adsabs.harvard.edu
Recurrent neural networks (RNN) have demonstrated their ability in providing a remarkably
accurate modeling approximation to describe the dynamic evolution of complex, nonlinear …

[引用][C] Process structure-based recurrent neural network modeling for predictive control: A comparative study

MS Alhajeri, J Luo, Z Wu, F Albalawi… - … Research and Design, 2022 - osti.gov
Process structure-based recurrent neural network modeling for predictive control: A
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