Benjamin Karg
Benjamin Karg
TU Dortmund, Laboratory of Process Automation Systems
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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
A deep learning-based approach to robust nonlinear model predictive control
S Lucia, B Karg
IFAC-PapersOnLine 51 (20), 511-516, 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
Deep learning-based embedded mixed-integer model predictive control
B Karg, S Lucia
2018 european control conference (ecc), 2075-2080, 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
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
Approximate moving horizon estimation and robust nonlinear model predictive control via deep learning
B Karg, S Lucia
Computers & Chemical Engineering 148, 107266, 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
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
Reinforced approximate robust nonlinear model predictive control
B Karg, S Lucia
2021 23rd International Conference on Process Control (PC), 149-156, 2021
Model predictive control for the internet of things
B Karg, S Lucia
Recent Advances in Model Predictive Control: Theory, Algorithms, and …, 2021
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
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
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