Dat Pham Xuan
Papers
1
Total Citations
5
H-Index
1
About
Dat Pham Xuan is a researcher specializing in nonlinear control systems, robotics, and intelligent control methodologies. His work focuses on developing adaptive and robust control strategies for complex dynamic systems, particularly those with uncertainties and underactuated configurations. A key contribution is his 2022 paper on adaptive hierarchical sliding mode control using an artificial neural network for a ballbot system, which addresses the challenge of stabilizing and controlling a highly unstable, underactuated robot with unknown dynamics. This work demonstrates the integration of neural network-based learning with sliding mode control to enhance system robustness and adaptability, earning 5 citations and establishing a foundation for further research in intelligent control for mobile robotics. Dat Pham Xuan’s research is notable for bridging theoretical control design with practical implementation, offering solutions that improve performance in the presence of model uncertainties and external disturbances. His work contributes to advancing autonomous systems and human-robot interaction, making him a promising figure in the field of adaptive and intelligent control.
Research Focus
Key Achievements
Top Papers
- 1