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Maik Pfefferkorn M.Sc.

Working area(s)

Machine Learning-supported (Model Predictive) Control (MPC), Gaussian Processes (GPs) for Systems Modeling, Uncertainty Propagation and Safety Guarantees in GP-based MPC, Control of Scanning Quantum Dot Microscopy

Contact

work +49 6151 16-25171
fax 06151 16-25172

Work S3|10 520
Landgraf-Georg-Str. 4
64283 Darmstadt

Links

Topic Type Status
Cost Function Learning for Model Predictive Control Using Bayesian Optimization Master Thesis in progress
Modeling of Human-Driven Vehicles from Real Data Using Gaussian Mixture Models Bachelor Thesis in progress
Physically Consistent Model Learning of Robotic Systems with Gaussian Processes (opens in new tab)
Co-Supervisor: Philipp Holzmann 		Master Thesis in progress
Gaussian-Process-based Modeling of Human Drivers from Real Data (opens in new tab)
Supervisor: Johanna Bethge 		Master Thesis in progress
Gaussian-Process-based Modeling of Individual Human-Driven Vehicles from Real Data (opens in new tab)
Co-Supervisor: Johanna Bethge 		Bachelor Thesis in progress
The Fokker-Planck Equation for Gaussian Process-based Model Predictive Control (opens in new tab) Master Thesis completed
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