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Research on manipulator trajectory tracking with model approximation RBF neural network adaptive control

According to the problem of manipulator trajectory tracking accuracy, model approximation RBF neural network adaptive control is applied in the manipulator trajectory tracking. In this paper, integral approximation method and model block approach method are used. The control law is designed. Finally, the computer simulation results show the different adaptive abilities and tracking performances. Mode block approximation method can get the short transiton time. The overshoot of integral approximation method is very small.