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Dec 10, 2019 · This paper proposes a novel robust adaptive-backstepping-recurrent-fuzzy-wavelet-neural-networks controller (ABRFWNNs) based on dead zone ...
Dec 10, 2019 · In this paper, a robust-adaptive-fuzzy-neural-network controller (RAFNNs) bases on dead zone compensator for industrial robot manipulators (RM) ...
Dec 10, 2019 · This paper proposes a novel robust adaptive-backstepping-recurrent-fuzzy-wavelet-neural-networks controller (ABRFWNNs) based on dead zone ...
This paper proposes a novel robust adaptive-backstepping-recurrent-fuzzy-wavelet-neural-networks controller (ABRFWNNs) based on dead zone compensator for ...
Apr 23, 2021 · In this paper, a robust-adaptive-fuzzy-neural-network controller (RAFNNs) bases on dead zone compensator for industrial robot manipulators ...
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Design of a robust adaptive sliding mode control using recurrent fuzzy wavelet functional link neural networks for industrial robot manipulator with dead zone.
A recurrent fuzzy wavelet neural networks (RFWNNs) based adaptive control method was developed for industrial robot manipulators (IRMs) to achieve high accuracy ...
Nov 7, 2023 · A novel robust bounded control with inequality constraints and experimental validation for permanent magnet linear motor. Quan HaiMing 1, 2.
A novel Robust Adaptive Control Using RFWNNs and Backstepping for Industrial Robot Manipulators with Dead-Zone. 679-692. view. electronic edition via DOI ...
Apr 5, 2024 · ... and V. T. Yen, ''A novel robust adaptive con- trol using RFWNNs and backstepping for industrial robot manipulators with dead-zone,'' J.