Maik Pfefferkorn

According to our database, Maik Pfefferkorn authored at least 13 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Probabilistically Input-to-State Stable Stochastic Model Predictive Control.

Maik Pfefferkorn, 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

CoRR, 2024

Safe and Stable Closed-Loop Learning for Neural-Network-Supported Model Predictive Control.

Sebastian Hirt, Maik Pfefferkorn, Rolf Findeisen

CoRR, 2024

Stability-informed Bayesian Optimization for MPC Cost Function Learning.

Sebastian Hirt, Maik Pfefferkorn, Ali Mesbah, Rolf Findeisen

CoRR, 2024

Learning Energy-Efficient Trajectory Planning for Robotic Manipulators Using Bayesian Optimization.

Philipp Holzmann, Maik Pfefferkorn, Jan Peters, Rolf Findeisen

Proceedings of the European Control Conference, 2024

Regret and Conservatism of Distributionally Robust Constrained Stochastic Model Predictive Control.

Maik Pfefferkorn, Venkatraman Renganathan, Rolf Findeisen

Proceedings of the American Control Conference, 2024

2023

Regret and Conservatism of Constrained Stochastic Model Predictive Control.

Maik Pfefferkorn, Venkatraman Renganathan, Rolf Findeisen

CoRR, 2023

Model Predictive Control with Gaussian-Process-Supported Dynamical Constraints for Autonomous Vehicles.

Johanna Bethge, Maik Pfefferkorn, Alexander Rose, Jan Peters, Rolf Findeisen

CoRR, 2023

Learning a Gaussian Process Approximation of a Model Predictive Controller with Guarantees.

Alexander Rose, Maik Pfefferkorn, Hoang Hai Nguyen, Rolf Findeisen

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

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 secure corridors for model predictive path following control of autonomous systems in cluttered environments.

Philipp Holzmann, Janine Matschek, Maik Pfefferkorn, Rolf Findeisen

Proceedings of the European Control Conference, 2022

Exact Multiple-Step Predictions in Gaussian Process-based Model Predictive Control: Observations, Possibilities, and Challenges.

Maik Pfefferkorn, Michael Maiworm, Rolf Findeisen

Proceedings of the American Control Conference, 2022

2020

Fusing Online Gaussian Process-Based Learning and Control for Scanning Quantum Dot Microscopy.

Maik Pfefferkorn, Michael Maiworm, Christian Wagner, F. Stefan Tautz, Rolf Findeisen

Proceedings of the 59th IEEE Conference on Decision and Control, 2020