Dec 3, 2014 · This paper proposes an robust adaptive control method based on Radial Basis Function Neural networks (RBFNN) to investigate the joint ...
This paper proposes an robust adaptive control method based on Radial Basis Function Neural networks (RBFNN) to investigate the joint position control for ...
Dec 3, 2014 · Abstract This paper proposes an robust adaptive con- trol method based on Radial Basis Function Neural networks (RBFNN) to investigate the ...
Robust Adaptive Trajectory Tracking Sliding mode control based on Neural networks for Cleaning and Detecting Robot Manipulators.
This paper presents a control method for a two-link industrial robot manipulator system that uses Fuzzy Neural Networks (FNNs) based on Sliding Mode Control ...
Missing: Cleaning | Show results with:Cleaning
Robust Adaptive Trajectory Tracking Sliding mode control based on Neural networks for Cleaning and Detecting Robot Manipulators. Van Pham, Cuong; Wang, Yao ...
This paper deals with the motion trajectory tracking control problem based on output feedback and artificial neural networks for anthropomorphic manipulator ...
Aug 18, 2020 · In this article, a robust adaptive tracking controller is developed for robot manipulators with uncertain dynamics using radial basis ...
This study aims to provide a robust trajectory tracking controller which guarantees the prescribed performance of a robot manipulator, both in transient and ...
Missing: Detecting | Show results with:Detecting
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Presents an approach and a systematic design methodology to adaptive motion control based on neural networks (NNs) for high-performance robot manipulators, ...