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This paper investigates the issue of neural network adaptive finite‐time tracking control for stochastic nonlinear systems subject to full state constraints. In the controller design process, neural networks are employed to cope with the packed uncertainties and the log‐type barrier Lyapunov functions are introduced to prevent the violation of the state constraints. By using approximated‐based neural...
The analysis of the forward kinematics is the foundation for studying other performances of the parallel robot. Making use of the property that it is easy to obtain the inverse kinematics of 6-DOF parallel robot, the forward kinematics of the 6-DOF parallel robot is transformed by using inverse kinematics results through training and learning. The nonlinear mapping from the joint variable space to...
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