Sanxiu Wang
Papers
6
Total Citations
43
H-Index
4
About
Sanxiu Wang is a leading researcher in advanced control systems, with a primary focus on adaptive fuzzy control, sliding mode robust tracking, and precision motion control for robotic manipulators and multi-axis systems. Her work addresses critical challenges in trajectory tracking under uncertain dynamics and external disturbances, introducing innovative algorithms that combine fuzzy logic, sliding mode control, and disturbance observation to enhance system robustness and contour accuracy. Notably, her 2020 paper on adaptive fuzzy sliding mode robust control for manipulators has garnered 14 citations, while her 2021 study on adaptive fuzzy PID cross-coupled control for multi-axis motion systems has received 13 citations, reflecting significant impact in industrial automation and robotics. More recently, Wang has expanded into biomedical applications, pioneering path tracking control for magnetic miniature soft robots and micro crawling robots, with her 2025 work on Stanley-based control achieving 8 citations. Her contributions span from theoretical developments in nonlinear MIMO systems to practical implementations in precision CNC machining and targeted therapy, establishing her as a versatile innovator bridging control theory and real-world robotic systems.
Research Focus
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Top Papers
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