Xue Ye
Papers
1
Total Citations
10
H-Index
1
About
Xue Ye’s research centers on advanced control systems for robotic manipulators, with a particular focus on improving precision and stability in electromechanical systems. Their most cited work, "Improved Fuzzy Backstepping Position Tracking Control for Manipulator Driven by PMSM" (2018, 10 citations), tackles the critical challenge of position tracking in robots powered by permanent magnet synchronous motors. In this study, Ye addresses the pervasive issues of uncertain parameters and external disturbances that degrade robotic performance. By integrating fuzzy logic approximation with the backstepping control method, they developed a robust framework that enhances tracking accuracy without requiring an exact system model. This contribution is especially valuable for industrial and service robotics, where reliable motion control under unpredictable conditions is essential. Ye’s work demonstrates a keen ability to blend theoretical control theory with practical engineering constraints, offering solutions that are both mathematically rigorous and implementable. Their research continues to influence the design of adaptive, disturbance-resistant controllers, making a meaningful impact on the next generation of intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
- 1