Maik Pfefferkorn

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 10

Top Topics

Gaussian Process

Top Venues

Eur. J. Control

Publications

Sebastian Hirt, Maik Pfefferkorn, Ali Mesbah, Rolf Findeisen
Stability-informed Bayesian Optimization for MPC Cost Function Learning. CoRR (2024)
Philipp Holzmann, Maik Pfefferkorn, Jan Peters, Rolf Findeisen
Learning Energy-Efficient Trajectory Planning for Robotic Manipulators Using Bayesian Optimization. ECC (2024)
Maik Pfefferkorn, Venkatraman Renganathan, Rolf Findeisen
Regret and Conservatism of Constrained Stochastic Model Predictive Control. CoRR (2023)
Johanna Bethge, Maik Pfefferkorn, Alexander Rose, Jan Peters, Rolf Findeisen
Model Predictive Control with Gaussian-Process-Supported Dynamical Constraints for Autonomous Vehicles. CoRR (2023)
Alexander Rose, Maik Pfefferkorn, Hoang Hai Nguyen, Rolf Findeisen
Learning a Gaussian Process Approximation of a Model Predictive Controller with Guarantees. CDC (2023)
Maik Pfefferkorn, Michael Maiworm, Rolf Findeisen
Exact Multiple-Step Predictions in Gaussian Process-based Model Predictive Control: Observations, Possibilities, and Challenges. ACC (2022)
Hoang Hai Nguyen, Maik Pfefferkorn, Rolf Findeisen
High-probability stable Gaussian process-supported model predictive control for Lur'e systems. Eur. J. Control 68 (2022)
Philipp Holzmann, Janine Matschek, Maik Pfefferkorn, Rolf Findeisen
Learning secure corridors for model predictive path following control of autonomous systems in cluttered environments. ECC (2022)
Maik Pfefferkorn, Michael Maiworm, Christian Wagner, F. Stefan Tautz, Rolf Findeisen
Fusing Online Gaussian Process-Based Learning and Control for Scanning Quantum Dot Microscopy. CoRR (2020)
Maik Pfefferkorn, Michael Maiworm, Christian Wagner, F. Stefan Tautz, Rolf Findeisen
Fusing Online Gaussian Process-Based Learning and Control for Scanning Quantum Dot Microscopy. CDC (2020)