A novel robust adaptive control using RFWNNs and backstepping for industrial robot manipulators with dead-zone. Journal of Intelligent and Robotic Systems, 98 ...
A novel Robust Adaptive Control Using RFWNNs and Backstepping for Industrial Robot Manipulators with Dead-Zone · Nguyen Xuan Quynh, Wang Yao Nan, Vu Thi Yen.
A novel robust adaptive control using rfwnns and backstepping for industrial robot manipulators with dead-zone. Journal of Intelligent & Robotic Systems, 98 ...
A novel robust adaptive control using RFWNNs and backstepping for industrial robot manipulators with dead-zone. J Intell Robot Syst 2020; 98(3-4): 679–692.
A novel Robust Adaptive Control Using RFWNNs and Backstepping for Industrial Robot Manipulators with Dead-Zone · Nguyen Xuan QuynhW. NanVu Thi Yen. Engineering ...
A novel Robust Adaptive Control Using RFWNNs and Backstepping ...
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A novel Robust Adaptive Control Using RFWNNs and Backstepping for Industrial Robot Manipulators with Dead-Zone ... Control and Systems Engineering · Software ...
Quynh, A novel robust adaptive control Using RFWNNs and backstepping for industrial robot manipulators with dead-zone, J. Intell. Robot. Syst., № vol. 98, с ...
Nov 17, 2019 · In this paper, a robust-adaptive-fuzzy-neural-network controller (RAFNNs) bases on dead zone compensator for industrial robot manipulators ...
Missing: novel RFWNNs
Nov 7, 2023 · In order to solve the problem that the trajectory of a permanent magnet linear motor may be out of bounds in practice and eliminate the ...
Jun 20, 2024 · In this paper we focus on the trajectory tracking control problem for industrial robots, that is, the design of controllers able to drive an ...
Missing: RFWNNs Dead-