A Data-Driven Model-Reference Adaptive Control Approach Based on Reinforcement Learning

no code implementations • 17 Mar 2023 • Mohammed Abouheaf, Wail Gueaieb, Davide Spinello, Salah Al-Sharhan

Model-reference adaptive systems refer to a consortium of techniques that guide plants to track desired reference trajectories.

reinforcement-learning Reinforcement Learning (RL)

Real-Time Measurement-Driven Reinforcement Learning Control Approach for Uncertain Nonlinear Systems

no code implementations • 15 Mar 2023 • Mohammed Abouheaf, Derek Boase, Wail Gueaieb, Davide Spinello, Salah Al-Sharhan

For concept demonstration, a trajectory-following optimization problem of a Kinova robotic arm is solved using an integral reinforcement learning approach with guaranteed stability for slowly varying dynamics.

reinforcement-learning Reinforcement Learning (RL)