Papers
2
Total Citations
10
H-Index
2
About
Ning Sheng is a researcher focused on advanced control strategies for nonholonomic mobile robots, with particular emphasis on trajectory tracking and disturbance rejection. Their work centers on sliding mode control techniques, including dynamic terminal sliding mode approaches that ensure finite-time convergence and robust performance under unknown disturbances. Sheng’s most cited paper (2021, 6 citations) introduces a sliding mode controller integrated with a disturbance observer to enhance tracking accuracy for mobile robots operating in uncertain environments. A subsequent study (2022, 4 citations) extends this by developing a nonsingular dynamic terminal sliding mode controller that achieves finite-time trajectory tracking, addressing both kinematic and dynamic models. These contributions are significant for applications in autonomous navigation, where precise and rapid response to disturbances is critical. While still early in their career, Sheng’s work demonstrates a clear progression toward more robust and time-efficient control solutions, laying groundwork for future advances in mobile robotics and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Sliding mode control for trajectory tracking of mobile robots6 citations · 2021
- 2