Fusing Online Gaussian Process-Based Learning and Control for Scanning Quantum Dot Microscopy. - Maik Pfefferkorn; Michael Maiworm; Christian Wagner 007; F. Stefan Tautz; Rolf Findeisen (CDC, 2020)

Exact Multiple-Step Predictions in Gaussian Process-based Model Predictive Control: Observations, Possibilities, and Challenges. - Maik Pfefferkorn; Michael Maiworm; Rolf Findeisen (ACC, 2022)

Learning secure corridors for model predictive path following control of autonomous systems in cluttered environments. - Philipp Holzmann; Janine Matschek; Maik Pfefferkorn; Rolf Findeisen (ECC, 2022)

High-probability stable Gaussian process-supported model predictive control for Lur'e systems. - Hoang Hai Nguyen; Maik Pfefferkorn; Rolf Findeisen (Eur. J. Control, 2022)

Learning a Gaussian Process Approximation of a Model Predictive Controller with Guarantees. - Alexander Rose 002; Maik Pfefferkorn; Hoang Hai Nguyen; Rolf Findeisen (CDC, 2023)

Model Predictive Control with Gaussian-Process-Supported Dynamical Constraints for Autonomous Vehicles. - Johanna Bethge; Maik Pfefferkorn; Alexander Rose 002; Jan Peters 001; Rolf Findeisen (CoRR, 2023)

Regret and Conservatism of Constrained Stochastic Model Predictive Control. - Maik Pfefferkorn; Venkatraman Renganathan; Rolf Findeisen (CoRR, 2023)

Regret and Conservatism of Distributionally Robust Constrained Stochastic Model Predictive Control. - Maik Pfefferkorn; Venkatraman Renganathan; Rolf Findeisen (ACC, 2024)

Safe and Stable Closed-Loop Learning for Neural-Network-Supported Model Predictive Control. - Sebastian Hirt; Maik Pfefferkorn; Rolf Findeisen (CDC, 2024)

Probabilistically Input-to-State Stable Stochastic Model Predictive Control. - Maik Pfefferkorn; Rolf Findeisen (CDC, 2024)

Learning Energy-Efficient Trajectory Planning for Robotic Manipulators Using Bayesian Optimization. - Philipp Holzmann; Maik Pfefferkorn; Jan Peters 001; Rolf Findeisen (ECC, 2024)

Stability-informed Bayesian Optimization for MPC Cost Function Learning. - Sebastian Hirt; Maik Pfefferkorn; Ali Mesbah 002; Rolf Findeisen (CoRR, 2024)

Safe Learning-Based Optimization of Model Predictive Control: Application to Battery Fast-Charging. - Sebastian Hirt; Andreas Höhl; Johannes Pohlodek; Joachim Schaeffer; Maik Pfefferkorn; Richard D. Braatz; Rolf Findeisen (ACC, 2025)

Efficient Learning of Vehicle Controller Parameters via Multi-Fidelity Bayesian Optimization: From Simulation to Experiment. - Yongpeng Zhao; Maik Pfefferkorn; Maximilian Templer; Rolf Findeisen (CoRR, 2025)

A Hierarchical Surrogate Model for Efficient Multi-Task Parameter Learning in Closed-Loop Control. - Sebastian Hirt; Lukas Theiner; Maik Pfefferkorn; Rolf Findeisen (CoRR, 2025)