Abstract: This paper proposes a reinforcement learning (RL) based compensator for minimising the trajectory tracking deviation of a robot arm under external disturbances. The compensator adaptively ...
Abstract: Composite learning can guarantee the exponential stability of adaptive robot control under a condition termed interval excitation (IE) that is strictly weaker than the classical condition of ...
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