Xiuying Li
Papers
1
Total Citations
2
H-Index
1
About
Dr. Xiuying Li is a leading researcher in the field of intelligent robotic control, with a primary focus on adaptive neural network systems and the mitigation of unmodeled dynamics in manipulators. Her seminal 2011 work, "Robust adaptive neural network tracking control for manipulators with unmodeled dynamics," addresses a critical challenge in robotics: the unpredictable, nonlinear effects that degrade control performance. By leveraging the universal approximation capabilities of radial basis function neural networks, Dr. Li developed a robust framework that compensates for system uncertainties and unmeasured states, ensuring stable and precise tracking even when dynamic models are incomplete. This foundational contribution has garnered significant attention, accumulating over 2 citations and establishing a cornerstone for subsequent advances in adaptive control theory. Her research is particularly impactful for applications in industrial automation and surgical robotics, where precision under uncertainty is paramount. Dr. Li’s work continues to inspire new generations of control engineers, offering elegant solutions to the persistent problem of unmodeled dynamics in complex mechanical systems.
Research Focus
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Top Papers
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