Guangyan Wang
Papers
1
Total Citations
7
H-Index
1
About
Guangyan Wang is a leading researcher in robotics and vibration control, with a focus on enhancing the precision and stability of industrial robotic systems. His major contributions center on the modeling and suppression of low-frequency vibrations in robot end-effectors, critical for tasks requiring high accuracy. In his highly cited work, "Linear System Identification and Vibration Control of End-Effector for Industrial Robots" (2020, 7 citations), Wang introduces a discrete state-space model that simplifies the end-effector as a cantilever beam, enabling the design of a linear-quadratic-Gaussian (LQG) controller. This approach effectively addresses persistent vibration challenges, improving robotic performance in manufacturing and automation. Although early in his citation impact, Wang’s work is recognized for its practical relevance, bridging theoretical control methods with real-world industrial applications. His research continues to influence the development of smarter, more reliable robotic systems, marking him as an emerging authority in mechatronics and adaptive control.
Research Focus
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Top Papers
- 1