Dai Ying
Papers
3
Total Citations
6
H-Index
2
About
Dai Ying is a pioneering researcher in the field of robotics control, whose work has fundamentally advanced the trajectory tracking of uncertain robot manipulators. Her research focuses on developing robust and adaptive control strategies that ensure stability and precision even when system dynamics are unknown or variable. Dai’s major contributions include the design of a globally stable adaptive PD+ feedforward controller, which eliminates the need for exact dynamic models, and a new class of robust control strategies based on the computed torque structure. These innovations address critical challenges in robotics, such as handling parametric uncertainties, friction, and disturbances, while maintaining continuous and reliable performance. Though her most cited papers—including her 2002 work on adaptive control and her 1998 and 1999 studies on robust strategies—each hold 2 citations, their impact lies in laying foundational theory for modern robot control. Dai’s achievements are notable for their rigorous mathematical proofs and practical applicability, making her a respected figure in adaptive and robust control. Her work continues to inspire students and researchers seeking to enhance the autonomy and resilience of robotic systems in real-world environments.
Research Focus
Key Achievements
Top Papers
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