Asma Mesmoudi

Residual Disturbance Learning for Robust Quadrotor Trajectory Tracking Under Multi-Frequency Aerodynamic Perturbations

Trajectory tracking remains difficult for outdoor quadrotors exposed to aerodynamic disturbances. Thermal updrafts, wind fluctuations and vibration degrade tracking accuracy and limit what conventional disturbance-rejection strategies can compensate. This paper studies how residual disturbance learning improves robustn...