Mar 21, 2015 · This paper presents an adaptive trajectory tracking neural network control using radial basis function (RBF) for an n-link robot manipulator ...
Adaptive trajectory tracking neural network control with robust ...
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Mar 21, 2015 · Abstract This paper presents an adaptive trajectory tracking neural network control using radial basis function. (RBF) for an n-link robot ...
This paper presents an adaptive trajectory tracking neural network control using radial basis function (RBF) for an n-link robot manipulator with robust ...
Abstract: This paper presents an adaptive trajectory tracking neural network control using radial basis function (RBF) for an n-link robot manipulator with ...
Adaptive Trajectory Neural Network Tracking Control for Industrial ...
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Apr 7, 2020 · This paper proposed a novel adaptive tracking neural network with deadzone robust compensator for Industrial Robot Manipulators (IRMs) to ...
This paper proposed a novel adaptive tracking neural network with deadzone robust compensator for Industrial Robot Manipulators (IRMs) to achieve the high ...
The trajectory tracking of a class of robot manipulators with disturbance and parameter uncertainties is considered. This paper proposes a adaptive ...
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ABSTRACT. This paper proposes a trajectory tracking controller based on adaptive neural networks (ANNs) for robot manipulators (RMs) to achieve the high ...
This article presents an adaptive neural network (ANN) control scheme based on a disturbance observer that can achieve trajectory tracking control of robotic ...
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In this paper, an adaptive neural-network-based torque compensator is developed for the trajectory-tracking control of robot manipulators.