Robust Linear Control: A Belief-Coupled Tube-MPC Framework
Robust Linear Control: A Belief-Coupled Tube-MPC Framework
Developed a unified research framework for autonomous tracking that bridges robust control theory, high-dynamic flight trajectory validation, and closed-loop ROS 2 / Gazebo simulation.
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- • Mathematical Foundations: Derived tracking feedback gains and tightened nominal state/input constraints using Robust Positively Invariant (RPI) sets to guarantee stability under bounded external disturbances.
- • Trajectory Engineering: Validated high-dynamic 3D flight trajectories for micro-UAV hardware using Crazyflie SITL simulation, containerized with Docker for full reproducibility.
- • System Integration & Closed-Loop Control: Integrated perception (OpenCV), state estimation (Extended Kalman Filter), and belief-space control within modular ROS 2 nodes in Gazebo Harmonic.
- • Adaptive Tracking: Evaluated Adaptive Tube-MPC and belief-coupled tracking against standard baseline controllers under sensor noise and dynamic curvature.