Nguyen Xuan Quynh
Hunan University, Hanoi University of Science and Technology
Papers
4
Total Citations
93
H-Index
4
About
Nguyen Xuan Quynh is a researcher whose work sits at the intersection of intelligent control systems, robotics, and neural network-based adaptive algorithms. His most significant contributions focus on developing sophisticated control strategies for industrial robot manipulators, particularly addressing real-world challenges such as system uncertainties, nonlinearities, and mechanical dead zones. His most cited work, "Robust Adaptive Sliding Mode Control for Industrial Robot Manipulator Using Fuzzy Wavelet Neural Networks" (2017, 57 citations), established him as a notable voice in adaptive control, combining sliding mode techniques with fuzzy wavelet neural networks to achieve robust performance under uncertain conditions. Building on this foundation, he extended these methods through recurrent fuzzy wavelet functional link neural networks and backstepping approaches, further refining precision and stability in robotic control applications. Beyond industrial automation, Quynh has demonstrated a creative breadth by contributing to accessible sports technology, notably through the development of a prototype autonomous badminton training robot that allows solo practice without requiring an opponent. With a growing citation record and research spanning both theoretical control design and practical robotic prototyping, his work reflects a commitment to bridging advanced computational intelligence with tangible engineering solutions.
Research Focus
Key Achievements
Top Papers
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- 3A prototype of auto badminton training robot12 citations · 2022
- 4