Efficient representation and approximation of model predictive control laws via deep learning B Karg, S Lucia IEEE Transactions on Cybernetics 50 (9), 3866-3878, 2020 | 219 | 2020 |
A deep learning-based approach to robust nonlinear model predictive control S Lucia, B Karg IFAC-PapersOnLine 51 (20), 511-516, 2018 | 91 | 2018 |
Deep learning-based model predictive control for resonant power converters S Lucia, D Navarro, B Karg, H Sarnago, O Lucia IEEE Transactions on Industrial Informatics 17 (1), 409-420, 2020 | 87 | 2020 |
Deep learning-based embedded mixed-integer model predictive control B Karg, S Lucia 2018 european control conference (ecc), 2075-2080, 2018 | 53 | 2018 |
Probabilistic performance validation of deep learning‐based robust NMPC controllers B Karg, T Alamo, S Lucia International Journal of Robust and Nonlinear Control 31 (18), 8855-8876, 2021 | 51 | 2021 |
Stability and feasibility of neural network-based controllers via output range analysis B Karg, S Lucia 2020 59th IEEE Conference on Decision and Control (CDC), 4947-4954, 2020 | 40 | 2020 |
Approximate moving horizon estimation and robust nonlinear model predictive control via deep learning B Karg, S Lucia Computers & Chemical Engineering 148, 107266, 2021 | 32 | 2021 |
Learning-based approximation of robust nonlinear predictive control with state estimation applied to a towing kite B Karg, S Lucia 2019 18th European Control Conference (ECC), 16-22, 2019 | 26 | 2019 |
Towards low-energy, low-cost and high-performance IoT-based operation of interconnected systems B Karg, S Lucia 2018 IEEE 4th World Forum on Internet of Things (WF-IoT), 706-711, 2018 | 15 | 2018 |
Reinforced approximate robust nonlinear model predictive control B Karg, S Lucia 2021 23rd International Conference on Process Control (PC), 149-156, 2021 | 11 | 2021 |
do-mpc: Towards FAIR nonlinear and robust model predictive control F Fiedler, B Karg, L Lüken, D Brandner, M Heinlein, F Brabender, S Lucia Control Engineering Practice 140, 105676, 2023 | 10 | 2023 |
Guaranteed safe control of systems with parametric uncertainties via neural network controllers B Karg, S Lucia 2022 IEEE 61st Conference on Decision and Control (CDC), 7302-7308, 2022 | 4 | 2022 |
Explainable artificial intelligence for deep learning-based model predictive controllers C Utama, B Karg, C Meske, S Lucia 2022 26th International Conference on System Theory, Control and Computing …, 2022 | 3 | 2022 |
Model predictive control for the internet of things B Karg, S Lucia Recent Advances in Model Predictive Control: Theory, Algorithms, and …, 2021 | 3 | 2021 |
Optimization of 3-D flight trajectory of variable trim kites for airborne wind energy production R Noga, X Paulig, L Schmidt, B Karg, M Quack, M Soliman arXiv preprint arXiv:2403.00382, 2024 | | 2024 |
Efficient approximations of model predictive control laws via deep learning B Karg Universitätsbibliothek Dortmund, 2023 | | 2023 |