Emilia Krendelsberger

Research interests

• data-driven modeling and predictive control of nonholonomic systems
• Koopman-based learning and control

Research projects

• Data-based modeling and predictive control of non-holonomic systems in the context of Koopman theory 
(DFG; project number 545246093)
• Active learning within the framework of Koopman operator theory (DFG; projectnumber 535860958)

Short CV

I received my B.Sc.and M.Sc. degrees in Technical Cybernetics and Systems Theory from the Technische Universität Ilmenau in 2023 and 2025, respectively. In my master thesis, I examined the approximation qualities of Kolmogorov Arnold Networks [1]. Now, still in Ilmenau, I pursue a PhD in mathematics in the Optimization-based Control group supervised by Karl Worthmann. My research focuses on data-driven modeling and predictive control of nonholonomic systems using Koopman operators.

References

[1]  Emilia Krendelsberger. Kolmogorov-Arnold-Netzwerke zur Approximation chaotischer Dynamiken. Masterarbeit, Technische Universität Ilmenau, 2025