Papers
1
Total Citations
4
H-Index
1
About
Dengdeng Yan is a researcher whose work centers on the control of robotic systems, with a particular focus on flexible-joint (FJ) robots and the challenges posed by parametric uncertainties. Yan’s most notable contribution is the development of an adaptive dynamic surface control (DSC) method, which addresses the complex issue of uncertain inertial parameters in FJ robots. By transforming these uncertainties into linear expressions and leveraging DSC for estimation, Yan’s approach effectively overcomes the high-order derivative problems that often plague traditional control strategies. This work, published in 2018, has garnered 4 citations, reflecting its foundational role in advancing adaptive control techniques for flexible-joint robotics. Yan’s research is particularly valuable for engineers and researchers working on precision control in robotic arms, where flexibility and uncertainty are common hurdles. The proposed method not only enhances stability and performance but also offers a practical framework for real-world applications, making Yan a key contributor to the field of robotic control systems.
Research Focus
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Top Papers
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