Papers
1
Total Citations
2
H-Index
1
About
Shujing Wu is a control systems researcher whose work focuses on the dynamic stabilization of inherently unstable mechanical systems. Her primary research area centers on the classic inverted pendulum problem—a foundational challenge in robotics and control theory that serves as a benchmark for testing and verifying new control methodologies. Wu's most notable contribution is her 2012 study, "Study of Inverted Pendulum Robot Using Fuzzy Servo Control Method," which explores how fuzzy logic-based servo control can maintain equilibrium in a two-wheeled inverted pendulum robot. This work addresses the fundamental instability of such systems, proposing a control approach that balances precision with adaptability. While her highly specialized paper has garnered 2 citations, its value lies in its contribution to the ongoing dialogue on robust control strategies for dynamic systems. Wu's research is particularly relevant for students and engineers working on mobile robotics, autonomous balancing platforms, and real-time control applications, offering a practical demonstration of how fuzzy control methods can manage complex, nonlinear dynamics in real-world robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Study of Inverted Pendulum Robot Using Fuzzy Servo Control Method2 citations · 2012