Dan Li

Predefined-Time Nonsingular Sliding Mode Control for Markov Jump Manipulator Systems via Reinforcement Learning

This paper investigates the trajectory-tracking control problem for manipulators subject to stochastic payload variations and composite disturbances. The manipulator dynamics are modeled as a Markov jump system to capture random mode switching. To ensure high-precision tracking, a novel reinforcement learning (RL)-base...