Introduction - If you have any usage issues, please Google them yourself
Abstract: This paper presents a solution to the issue of robot control neural network method. Using a hierarchical neural network (NN) structure to study the characteristics of rigid robot dynamics. For the general category of the mechanical hand, the use of a series of three training feedforward network module, and then these basis functions in real time for the fourth floor. The use of linear control theory, supplemented by non-linear compensation control robot to learn the robot dynamics knowledge to create a project in the entire high-speed control manipulator controller. Simulation results show that the controller performance has been greatly enhanced.