Yuejuan Wang
Papers
2
Total Citations
5
H-Index
2
About
Yuejuan Wang is a researcher whose work focuses on robotics control theory, particularly the stability analysis of trajectory-tracking control systems for robotic manipulators. Their most recognized contributions center on the rigorous mathematical examination of widely used control schemes, including proportional-derivative (PD) control, PD control with feedforward compensation, and PD control with calculated feedforward compensation. By employing a unified Lyapunov function framework, Wang's research provides a cohesive and elegant approach to evaluating the stability, robustness, and convergence speed of these fundamental control methodologies, enabling direct and meaningful comparisons across multiple schemes within a single analytical structure. This work, published in the early 2000s, addresses foundational questions in robotic control that remain relevant to engineers and researchers designing precise, reliable manipulator systems. The global stability analysis presented offers theoretical guarantees critical for real-world robotic applications where predictable performance is essential. While Wang's citation counts are modest, the research contributes to a specialized and technically demanding area of robotics, providing a valuable reference point for those studying Lyapunov-based stability proofs and control system design. Students entering the field of robot dynamics and control will find Wang's comparative analytical approach a useful methodological model.
Research Focus
Key Achievements
Top Papers
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- 2