3 papers
eess.SY2020
Stability and feasibility of neural network-based controllers via output range analysis
Benjamin Karg, Sergio Lucia
Neural networks can be used as approximations of several complex control schemes such as model predictive control. We show in this paper which properties deep neural networks with…
math.OC2018
Deep Learning-Based Model Predictive Control for Resonant Power Converters
Sergio Lucia, Denis Navarro, Benjamin Karg +2
Resonant power converters offer improved levels of efficiency and power density. In order to implement such systems, advanced control techniques are required to take the most of th…
math.OC2018
Efficient representation and approximation of model predictive control laws via deep learning
Benjamin Karg, Sergio Lucia
We show that artificial neural networks with rectifier units as activation functions can exactly represent the piecewise affine function that results from the formulation of model…