activity
20182024
most citedEfficient representation and approximation of model predictive control laws via deep learning

310 citations · 495 across the 5 of their papers we have counts for

collaborators

5 papers

math.OC2024

Optimization of 3-D flight trajectory of variable trim kites for airborne wind energy production

Rafal Noga, Xaver Paulig, Lukas Schmidt +3

Skysails Power GmbH is the leading manufacturer of light and efficient power kites that harness the wind's untapped supplies at high altitudes, aiming at profoundly altering wind e…

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…

eess.SY2019★ 55 cited

Probabilistic performance validation of deep learning-based robust NMPC controllers

Benjamin Karg, Teodoro Alamo, Sergio Lucia

Solving nonlinear model predictive control problems in real time is still an important challenge despite of recent advances in computing hardware, optimization algorithms and tailo…

math.OC2018★ 130 cited

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★ 310 cited

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…