An integrated approach for machine-learning-based system identification of dynamical systems under control: application towards the model predictive control of a highly nonlinear reactor system
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Chemical Engineering
Link
https://link.springer.com/content/pdf/10.1007/s11705-021-2058-6.pdf
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