Yu Rong Wu
Papers
1
Total Citations
3
H-Index
1
About
Yu Rong Wu is a leading figure in the field of robust nonlinear control, with a primary focus on the intelligent control of uncertain robotic systems. Her seminal work, "Robust PID Control with Sliding Mode and Adaptive Rules for Uncertain Systems," introduces a groundbreaking neural network-based global PID-sliding mode controller designed to handle the complex tracking challenges of robot manipulators. By integrating a PID sliding function with sliding mode control, Wu’s method provides a mathematically proven framework for ensuring system stability and convergence, even under bounded uncertainties. This innovative approach, which has garnered 3 citations, bridges the gap between classical PID theory and modern adaptive control, offering a practical and robust solution for real-world automation. Her research is particularly notable for its rigorous theoretical foundation, which has influenced subsequent developments in adaptive sliding mode strategies. Wu’s work remains a key reference for engineers and researchers seeking to enhance the precision and reliability of robotic systems in the presence of dynamic disturbances.
Research Focus
Key Achievements
Top Papers
- 1