Xiaoqing Tang
Papers
1
Total Citations
8
H-Index
1
About
Dr. Xiaoqing Tang is a leading figure in advanced robotic control systems, with a primary focus on achieving high-precision performance under challenging real-world constraints. Her most influential work tackles the critical issue of **prescribed performance control** for robotic manipulators, particularly when systems suffer from unknown nonlinearities like input dead zones. In her seminal 2015 paper, "Backstepping funnel control for prescribed performance of robotic manipulators with unknown dead zone," she introduced a novel **backstepping funnel control (BFC)** strategy. This approach ingeniously circumvents the need for complex dead-zone inverse compensation by leveraging the differential mean value theorem, ensuring tracking errors remain within a predefined, time-varying funnel. This work, cited 8 times, is foundational for engineers designing robots that must operate reliably despite actuator imperfections. Dr. Tang’s contributions are vital for advancing the robustness and safety of robotic systems in manufacturing and automation, where unpredictable component wear can degrade performance. Her research continues to push the boundaries of how robots can guarantee precise, safe motion in the presence of severe model uncertainties.
Research Focus
Key Achievements
Top Papers
- 1