Daniel Landgraf, M. Sc.

Daniel Landgraf, M.Sc.

Department of Electrical-Electronic-Communication Engineering
Chair of Automatic Control (Prof. Dr.-Ing. Graichen)

Room: Room 04.032
Cauerstraße 7
91058 Erlangen

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