Amon Lahr was born in Berlin, Germany, in 1996. He completed his Bachelor’s studies in Engineering
Science in 2018, with two semester-long stays at New York University and the German Aerospace
Center in Stuttgart, Germany, respectively. Redirecting his study focus towards numerical mathematics,
control theory and model reduction, Amon later received a Master’s degree in Scientific Computing
from TU Berlin in 2021, with his thesis on “ℋ-∞ Control for Large-Scale Linear Systems”. During his
studies, Amon has worked as a Linux and web developer for IoT devices in the automotive industry,
shaping his interests in embedded systems and data-driven control methods.
While the performance and potential of learning-based control has been recently demonstrated, the associated computational challenges remain a key limiting factor for moving these techniques into industrial applications. On embedded hardware in particular, the feasible model complexity and sampling times are restricted by the limited storage and computational power. The aim of this PhD project is to develop new controllers and computational methods for embedded control systems. Possible research directions include the development of tailored real-time optimization routines, controller approximation using learning-based function approximation schemes, as well as efficient data selection and reduction.