Vu Huu Thich

Hanoi University of Industry

Papers

1

Total Citations

57

H-Index

1

About

Dr. Vu Huu Thich is a leading researcher in intelligent control systems and robotics, with a particular focus on enhancing the precision and robustness of industrial robot manipulators. His most influential work, "Robust adaptive sliding mode control for industrial robot manipulator using fuzzy wavelet neural networks" (2017, 57 citations), introduces a novel hybrid control strategy that integrates fuzzy logic, wavelet neural networks, and sliding mode control. This approach effectively addresses the challenges of system uncertainties, external disturbances, and nonlinear dynamics in robotic systems, significantly improving tracking accuracy and stability. Dr. Thich’s contributions have provided a practical framework for developing more reliable and adaptive controllers, directly impacting the automation and manufacturing industries. His research is widely recognized for bridging theoretical control methods with real-world robotic applications, making complex systems more efficient and safer. With a strong citation record, Dr. Thich continues to influence the fields of nonlinear control, neural networks, and mechatronics, inspiring further advancements in intelligent robotic systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
57
Total Citations
57
Avg Citations/Paper
🏆 Most Cited Paper
Robust adaptive sliding mode control for industrial robot manipulator using fuzzy wavelet neural networks
57 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Hanoi University of Industry

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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