Shuxia Lin
Papers
2
Total Citations
55
H-Index
2
About
Shuxia Lin is a leading researcher in intelligent robotics control, specializing in adaptive and robust control strategies for robot manipulators operating under uncertain dynamics. Her work addresses a critical challenge in robotics: achieving precise trajectory tracking when system parameters are unknown or variable. Lin’s most influential contribution is the development of adaptive fuzzy computed-torque control schemes, which synergize the strengths of conventional computed-torque control with fuzzy logic compensators to overcome the limitations of each approach individually. Her 2012 paper on this topic has garnered 40 citations, establishing a foundational method for robust tracking control. Expanding on this, Lin introduced the computed-torque plus robust adaptive compensation control (CTRACC) framework in 2014, which integrates adaptive fuzzy algorithms with robust H∞ control to simultaneously handle both structured and unstructured uncertainties. This work, cited 15 times, demonstrates her ability to design comprehensive solutions for real-world robotic applications. Lin’s research is notable for its practical impact on improving the reliability and performance of robotic systems in the presence of dynamic uncertainties, making her a respected voice in the field of nonlinear control and mechatronics.
Research Focus
Key Achievements
Top Papers
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