Deep learning-based embedded mixed-integer model predictive control. - Benjamin Karg; Sergio Lucia (ECC, 2018)

Towards low-energy, low-cost and high-performance IoT-based operation of interconnected systems. - Benjamin Karg; Sergio Lucia (WF-IoT, 2018)

Learning-based approximation of robust nonlinear predictive control with state estimation applied to a towing kite. - Benjamin Karg; Sergio Lucia (ECC, 2019)

Probabilistic performance validation of deep learning-based robust NMPC controllers. - Benjamin Karg; Teodoro Alamo; Sergio Lucia (CoRR, 2019)

Stability and feasibility of neural network-based controllers via output range analysis. - Benjamin Karg; Sergio Lucia (CDC, 2020)

Efficient Representation and Approximation of Model Predictive Control Laws via Deep Learning. - Benjamin Karg; Sergio Lucia (IEEE Trans. Cybern., 2020)

Approximate moving horizon estimation and robust nonlinear model predictive control via deep learning. - Benjamin Karg; Sergio Lucia (Comput. Chem. Eng., 2021)

Deep Learning-Based Model Predictive Control for Resonant Power Converters. - Sergio Lucia; Denis Navarro; Benjamin Karg; Hector Sarnago; Óscar Lucía (IEEE Trans. Ind. Informatics, 2021)

Guaranteed safe control of systems with parametric uncertainties via neural network controllers. - Benjamin Karg; Sergio Lucia (CDC, 2022)

Explainable artificial intelligence for deep learning-based model predictive controllers. - Christian Utama; Benjamin Karg; Christian Meske; Sergio Lucia (ICSTCC, 2022)