Daniel Landgraf, M. Sc.
Daniel Landgraf, M.Sc.
Research Interests
- Model predictive control based on machine learning methods
- Computationally efficient machine learning with Gaussian processes
- Stochastic model predictive control
- Reinforcement learning in automatic control
Biography
- Since January 2021: Research associate, Chair of Automatic Control, FAU Erlangen-Nürnberg
- 2019 – 2020: Master of Science Elektrotechnik-Elektronik-Informationstechnik, FAU Erlangen-Nürnberg
- 2015 – 2019: Bachelor of Science Elektrotechnik-Elektronik-Informationstechnik, FAU Erlangen-Nürnberg
Open theses
Current and completed theses
- Control of a Two-Wheeled Balancing Robot
- Stochastic model predictive control of building energy systems using mixture models
- Stochastic model predictive control of a ball-on-plate system
- Stochastic model predictive control of an inverted pendulum
- Learning-based model predictive control with deep Gaussian processes
- Zustandsschätzung mittels Gaußprozessquadratur (BA)
- Modellprädiktive Bewegungsregelung für ein autonomes Golfkart
- Datenbasierte Steuerung eines 3D-Druckprozesses für Hochfrequenzkomponenten