Maik Pfefferkorn

22 papers C 3Journal 12Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Efficient Controller Learning from Human Preferences and Numerical Data Via Multi-Modal Surrogate Models. CoRR Lukas Theiner, Maik Pfefferkorn, Yongpeng Zhao, Sebastian Hirt, Rolf Findeisen
2025	—	`conf`	A Hierarchical Surrogate Model for Efficient Multi-Task Parameter Learning in Closed-Loop Control. CDC Sebastian Hirt, Lukas Theiner, Maik Pfefferkorn, Rolf Findeisen
2025	J	`jnl`	A Hierarchical Surrogate Model for Efficient Multi-Task Parameter Learning in Closed-Loop Control. CoRR Sebastian Hirt, Lukas Theiner, Maik Pfefferkorn, Rolf Findeisen
2025	J	`jnl`	Efficient Learning of Vehicle Controller Parameters via Multi-Fidelity Bayesian Optimization: From Simulation to Experiment. CoRR Yongpeng Zhao, Maik Pfefferkorn, Maximilian Templer, Rolf Findeisen
2025	J	`jnl`	High-Dimensional Surrogate Modeling for Closed-Loop Learning of Neural-Network-Parameterized Model Predictive Control. CoRR Sebastian Hirt, Valentinus Suwanto, Hendrik Alsmeier, Maik Pfefferkorn, Rolf Findeisen
2025	C	`conf`	Safe Learning-Based Optimization of Model Predictive Control: Application to Battery Fast-Charging. ACC Sebastian Hirt, Andreas Höhl, Johannes Pohlodek, Joachim Schaeffer, Maik Pfefferkorn, Richard D. Braatz, Rolf Findeisen
2024	—	`conf`	Learning Energy-Efficient Trajectory Planning for Robotic Manipulators Using Bayesian Optimization. ECC Philipp Holzmann, Maik Pfefferkorn, Jan Peters, Rolf Findeisen
2024	—	`conf`	Probabilistically Input-to-State Stable Stochastic Model Predictive Control. CDC Maik Pfefferkorn, Rolf Findeisen
2024	J	`jnl`	Probabilistically Input-to-State Stable Stochastic Model Predictive Control. CoRR Maik Pfefferkorn, Rolf Findeisen
2024	C	`conf`	Regret and Conservatism of Distributionally Robust Constrained Stochastic Model Predictive Control. ACC Maik Pfefferkorn, Venkatraman Renganathan, Rolf Findeisen
2024	J	`jnl`	Safe Learning-Based Optimization of Model Predictive Control: Application to Battery Fast-Charging. CoRR Sebastian Hirt, Andreas Höhl, Johannes Pohlodek, Joachim Schaeffer, Maik Pfefferkorn, Richard D. Braatz, Rolf Findeisen
2024	—	`conf`	Safe and Stable Closed-Loop Learning for Neural-Network-Supported Model Predictive Control. CDC Sebastian Hirt, Maik Pfefferkorn, Rolf Findeisen
2024	J	`jnl`	Safe and Stable Closed-Loop Learning for Neural-Network-Supported Model Predictive Control. CoRR Sebastian Hirt, Maik Pfefferkorn, Rolf Findeisen
2024	J	`jnl`	Stability-informed Bayesian Optimization for MPC Cost Function Learning. CoRR Sebastian Hirt, Maik Pfefferkorn, Ali Mesbah, Rolf Findeisen
2023	—	`conf`	Learning a Gaussian Process Approximation of a Model Predictive Controller with Guarantees. CDC Alexander Rose, Maik Pfefferkorn, Hoang Hai Nguyen, Rolf Findeisen
2023	J	`jnl`	Model Predictive Control with Gaussian-Process-Supported Dynamical Constraints for Autonomous Vehicles. CoRR Johanna Bethge, Maik Pfefferkorn, Alexander Rose, Jan Peters, Rolf Findeisen
2023	J	`jnl`	Regret and Conservatism of Constrained Stochastic Model Predictive Control. CoRR Maik Pfefferkorn, Venkatraman Renganathan, Rolf Findeisen
2022	C	`conf`	Exact Multiple-Step Predictions in Gaussian Process-based Model Predictive Control: Observations, Possibilities, and Challenges. ACC Maik Pfefferkorn, Michael Maiworm, Rolf Findeisen
2022	J	`jnl`	High-probability stable Gaussian process-supported model predictive control for Lur'e systems. Eur. J. Control Hoang Hai Nguyen, Maik Pfefferkorn, Rolf Findeisen
2022	—	`conf`	Learning secure corridors for model predictive path following control of autonomous systems in cluttered environments. ECC Philipp Holzmann, Janine Matschek, Maik Pfefferkorn, Rolf Findeisen
2020	—	`conf`	Fusing Online Gaussian Process-Based Learning and Control for Scanning Quantum Dot Microscopy. CDC Maik Pfefferkorn, Michael Maiworm, Christian Wagner, F. Stefan Tautz, Rolf Findeisen
2020	J	`jnl`	Fusing Online Gaussian Process-Based Learning and Control for Scanning Quantum Dot Microscopy. CoRR Maik Pfefferkorn, Michael Maiworm, Christian Wagner, F. Stefan Tautz, Rolf Findeisen