2 papers
eess.SY2020
Deep Learning Alternative to Explicit Model Predictive Control for Unknown Nonlinear Systems
Jan Drgona, Karol Kis, Aaron Tuor +2
We present differentiable predictive control (DPC) as a deep learning-based alternative to the explicit model predictive control (MPC) for unknown nonlinear systems. In the DPC fra…
cs.LG2019
Neural Network Based Explicit MPC for Chemical Reactor Control
Karol Kiš, Martin Klaučo
In this paper, we show the implementation of deep neural networks applied in process control. In our approach, we based the training of the neural network on model predictive contr…