Prof. Dr. Klaus Kefferpütz

Advanced Control of Autonomous Systems: From Analytical Foundations to Reinforcement Learning

This module provides a comprehensive foundation in the modeling, control, and estimation of autonomous systems, bridging the gap between classical analytical methods and modern AI-driven control strategies.

By the end of this module, students will be able to:

• Model Autonomous Systems: Derive equations of motion (EOM) for multirotors and fixed-wing UAVs, utilizing appropriate coordinate systems (body vs. inertial frames).
• Apply State-Space Control: Utilize linear control theory (LQR/LQG), controllability, and observability to design stable control systems.