WU Shao-hua
Papers
2
Total Citations
7
H-Index
2
About
Dr. Shao-hua Wu is a leading researcher in advanced robotic control systems, with a primary focus on trajectory tracking and robust manipulation. His work centers on developing innovative control strategies to address the fundamental challenges of uncertain model information and unknown external disturbances in robotic manipulators. Dr. Wu's major contributions include pioneering the integration of adaptive iterative learning control with second-order terminal sliding mode methods, as demonstrated in his most-cited 2018 paper (5 citations). This approach significantly enhances precision and stability in dynamic environments. He further advanced the field by introducing nonsingular fast terminal sliding mode fuzzy control in 2019, a technique that improves convergence speed and reduces chattering effects. Though early in his citation impact, Dr. Wu's methodologies represent critical steps toward more reliable, high-performance robotic systems for industrial and service applications. His work is particularly notable for combining sliding mode theory with adaptive learning, offering practical solutions for real-world robotic tasks.
Research Focus
Key Achievements
Top Papers
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- 2