Adaptive Finite time Tracking Control for a Robotic Manipulator with Unknown Dea

This paper is concerned with the adaptive finitetimecontrol for a robotic manipulator preceded by unknownnon-symmetric deadzone. Radial basis function neural networks(RBFNNs) are employed to approximate the unknown dynamicsand the deadzone effect of actuators. Adaptive finite-time