In this paper, a robust neural network control scheme is proposed for robot tracking tasks. The neural network is trained online and the weight tuning ...
In this paper, a robust neural network control scheme is proposed for robot tracking tasks. The neural network is trained on-line and the weight tuning ...
Under this proposed control scheme, it is shown that the tracking error bound is completely determined by the neural network approximation error bound, ...
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This study addresses the tracking control issue for n-link robotic manipulators with largely jumping parameters. Based on radial basis function neural ...
An NN-based model predictive control structure containing two groups of NNs is proposed for robotic manipulators. •. The model predictive controller ...
To reduce the number of nodes in hidden layer will increase the estimation error of the neural network, which then increases the bound of the tracking error as ...
SUMMARY. This paper examines the problem of link position tracking control of robot manipulators with bounded torque inputs.
Missing: NN | Show results with:NN
Jun 15, 2023 · This paper proposes a learning control framework for the robotic manipulator's dynamic tracking task demanding fixed-time convergence and ...
Abstract—A neural network (NN)-based adaptive controller with an observer is proposed in this paper for the trajectory tracking of robotic manipulators with ...
In this paper, neural network-based nonlinear dynamical control of kinematically redundant robot manipulators is considered. The neural network-based ...