Distributionally robust model predictive control for constrained robotic manipulators based on neural network modeling

A distributionally robust model predictive control (DRMPC) scheme is proposed based on neural network (NN) modeling to achieve the trajectory tracking control of robot manipulators with state and control torque constraints. First, an NN is used to fit the motion data of robot manipulators for data-d...

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