Zengpeng Lu

Reinforcement learning-based prescribed performance tracking control for robotic manipulators*

This paper proposes a fixed-time trajectory tracking control strategy for robotic manipulators facing dynamic uncertainties and input saturation, combining prescribed performance control with adaptive reinforcement learning. A prescribed performance function is designed to strictly constrain tracking errors within pred...