Chui-Xu Kong

Meta-Learning Augmented Model Predictive Control for Quadrotor UAV Flight in Strong Wind

The growing demand for precise unmanned aerial vehicle (UAV) operations in dynamic environments is often compromised by unmodeled wind disturbances, calling for robust and adaptive control strategies to ensure accurate trajectory tracking. This paper presents a meta-learning augmented model predictive control (ML-MPC)...