A two-phase research project combining Reinforcement Learning with PID control for robust quadrotor trajectory tracking, validated in simulation and deployed on real DJI Tello hardware.
Abstract: Existing model-free predictive control (MFPC) methods are primarily based on mature controller design formulas, with various observers added to these controllers. Currently, there is a lack ...
Abstract: Model predictive controllers are becoming widespread in building thermal dynamic control and energy management systems. Decreasing building energy consumption, load shifting, cost reduction, ...
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