Oct 22, 2024 · In this paper, the combination of neural network (NN), proportional derivative (PD), and robust controller are used for determining the ...
Mar 22, 2010 · In this paper, the combination of neural network (NN), proportional derivative (PD), and robust controller are used for determining the ...
SUMMARY. In this paper, the combination of neural network (NN), proportional derivative (PD), and robust controller are used for determining the maximum ...
Mar 22, 2010 · SUMMARY. In this paper, the combination of neural network (NN), proportional derivative (PD), and robust controller are used for determining ...
Mar 31, 2004 · Determining maximum load-carrying capacity of robots using adaptive robust neural controller. In this paper, the combination of neural ...
This paper presents an investigation on the trajectory control of a robot using a new type of recurrent neural network.
Missing: Determining maximum carrying capacity
A computational technique for obtaining the maximum load carrying capacity of robotic manipulators with joint elasticity, subject to accuracy and actuators ...
A robust Neural Network (NN) controller is proposed for the motion control of rigid-link flexible-joint (RLFJ) robots. No weak elasticity assumption is needed.
SUMMARY In this paper, the combination of neural network (NN), proportional derivative (PD), and robust controller are used for determining the maximum load- ...
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Nov 12, 2016 · The aim of this study is to determine the load capacity of a manipulator in closed-loop form and specified path. In open-loop mode, ...