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Benjamin Karg
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2020 – today
- 2022
- [c6]Benjamin Karg, Sergio Lucia:
Guaranteed safe control of systems with parametric uncertainties via neural network controllers. CDC 2022: 7302-7308 - [c5]Christian Utama, Benjamin Karg, Christian Meske, Sergio Lucia:
Explainable artificial intelligence for deep learning-based model predictive controllers. ICSTCC 2022: 464-471 - 2021
- [j3]Benjamin Karg, Sergio Lucia:
Approximate moving horizon estimation and robust nonlinear model predictive control via deep learning. Comput. Chem. Eng. 148: 107266 (2021) - [j2]Sergio Lucia, Denis Navarro, Benjamin Karg, Hector Sarnago, Óscar Lucía:
Deep Learning-Based Model Predictive Control for Resonant Power Converters. IEEE Trans. Ind. Informatics 17(1): 409-420 (2021) - 2020
- [j1]Benjamin Karg, Sergio Lucia:
Efficient Representation and Approximation of Model Predictive Control Laws via Deep Learning. IEEE Trans. Cybern. 50(9): 3866-3878 (2020) - [c4]Benjamin Karg, Sergio Lucia:
Stability and feasibility of neural network-based controllers via output range analysis. CDC 2020: 4947-4954 - [i2]Benjamin Karg, Sergio Lucia:
Stability and feasibility of neural network-based controllers via output range analysis. CoRR abs/2004.00521 (2020)
2010 – 2019
- 2019
- [c3]Benjamin Karg, Sergio Lucia:
Learning-based approximation of robust nonlinear predictive control with state estimation applied to a towing kite. ECC 2019: 16-22 - [i1]Benjamin Karg, Teodoro Alamo, Sergio Lucia:
Probabilistic performance validation of deep learning-based robust NMPC controllers. CoRR abs/1910.13906 (2019) - 2018
- [c2]Benjamin Karg, Sergio Lucia:
Deep learning-based embedded mixed-integer model predictive control. ECC 2018: 2075-2080 - [c1]Benjamin Karg, Sergio Lucia:
Towards low-energy, low-cost and high-performance IoT-based operation of interconnected systems. WF-IoT 2018: 706-711
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