Phan Van Vy
Papers
1
Total Citations
5
H-Index
1
About
Phan Van Vy is a prominent researcher in advanced control systems and robotics, with a focus on intelligent adaptive control for industrial applications. His work centers on enhancing the precision and robustness of robotic manipulators through innovative sliding mode control strategies. His most-cited paper, "Adaptive Terminal Sliding Mode Control Using RBF Neural Network for Industrial Robot Manipulators" (2025), has already garnered 5 citations, reflecting its timely impact on the field. In this study, Vy integrates radial basis function neural networks with terminal sliding mode control to address challenges like chattering and uncertainty in dynamic environments, offering a novel solution for high-performance automation. This contribution not only advances theoretical control design but also provides practical pathways for improving efficiency in manufacturing and robotics. Vy’s research is notable for bridging neural network adaptability with robust control, making his work a valuable resource for engineers and researchers seeking to optimize robotic systems. His early citation success signals growing recognition, positioning him as an emerging authority in intelligent control and mechatronics.
Research Focus
Key Achievements
Top Papers
- 1