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Electric Machine Co-Optimization: System Design Process Using Bayesian Optimization and Nonlinear Model Predictive Control2024 SSRN Electronic Journal preprint Engineering Electric and Hybrid Vehicle Technologies Open access
Christoph Wellmann, Abdul Rahman Khaleel, Tobias Brinkmann, Alexander Wahl, Christian Monissen, Markus Eisenbarth, +1 more
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Fine-Tuning of Neural Network Approximate MPC without Retraining via Bayesian Optimization2025 arXiv (Cornell University) preprint Engineering Advanced Control Systems Optimization Open access
Henrik Hose, Paul Brunzema, Alexander von Rohr, Alexander Gräfe, Angela P. Schoellig, Sebastian Trimpe
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A Decade of Bayesian Optimization for Controller Tuning and Robot Learning: Tutorial, Review, and Future Prospects2026 arXiv (Cornell University) preprint Decision Sciences Advanced Bandit Algorithms Research Open access
David Stenger, Paul Brunzema, Johanna Menn, Alexander von Rohr, Angela P. Schoellig, Sebastian Trimpe
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Hybrid Reinforcement Learning and Model Predictive Control for Adaptive Control of Hydrogen-Diesel Dual-Fuel Combustion2025 arXiv (Cornell University) preprint Engineering Advanced Control Systems Optimization Open access
Julian Bedei, Alexander Winkler, Murray McBain, Charles Robert Koch, David C. Gordon
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Recent Advances in Metasurface Design and Quantum Optics Applications with Machine Learning, Physics-Informed Neural Networks, and Topology Optimization Methods2023 arXiv (Cornell University) preprint Materials Science Metamaterials and Metasurfaces Applications Open access
Wenye Ji, He‐Xiu Xu, Jian Gao, Simon Gröblacher, Paul Urbach, Aurèle J. L. Adam
0citations