Abschlussarbeiten
Master
Approximation function analysis for explicit optimal control of electric drives
Design of eletrical machines with invertible neural networks
Hardware accelerated embedded on-chip training for reinforcement and machine learning algorithm
Learning to optimize electric drive control during runtime
Neural ordinary differential equations (NODEs) for motor drive temperature estimation
Surrogate models for electric drives