Xingxing Tang
Papers
1
Total Citations
3
H-Index
1
About
Dr. Xingxing Tang has made foundational contributions to the field of construction tele-robotics, with a particular focus on the precise control of complex electro-hydraulic systems. His key research areas include motion control, adaptive PID control strategies, and the application of neural networks to robotic systems. In his most cited work, "Research on RBF-PID Control for the 6-DOF Motion Base in Construction Tele-robot System," Dr. Tang derived a dynamic model for electro-hydraulic servo valves and asymmetric cylinders based on real experimental setups. He then developed a novel Radial Basis Function (RBF) neural network-based PID controller to create a stable closed-loop system for six-degree-of-freedom motion bases. This work, which has garnered 3 citations, represents a significant step forward in improving the accuracy and stability of tele-operated construction equipment. Dr. Tang’s integration of adaptive control theory with practical hardware modeling demonstrates his commitment to bridging theoretical advances with real-world engineering challenges, making his research particularly valuable for students and engineers working on advanced robotic systems in harsh environments.
Research Focus
Key Achievements
Top Papers
- 1