Masterarbeit Robotik - Hochdynamische Regelung von elektrischen Antrieben
Core
Modeling electric drive systems and integrating innovative AI methods to develop high-dynamic control strategies for robotics applications.
Role type
Master's thesis researcher (control systems & AI)
Builds
Simulation models and control algorithms for electric drives
Domain
Robotics, Electric Drives, Control Theory
Deliverable
production ML models
Required skills
System dynamics, Control theory, MATLAB, Simulink, Machine learning, Model-based control design
Preferred skills
High-dynamic control design, Unknown system behavior estimation
Technologies
MATLAB, Simulink
Responsibilities
Model electric drive systems, Develop control and learning methods, Implement and validate algorithms in simulation, Apply control strategies to robotics applications
Seniority
Master's student researcher
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