Hu Min
Papers
1
Total Citations
1
H-Index
1
About
Dr. Hu Min is a researcher in robotics and control systems, with a primary focus on trajectory tracking and intelligent control of robotic manipulators. Their most notable contribution is the development of a hybrid control approach that integrates wavelet neural networks (WNN) with sliding mode control (SMC) to address trajectory-tracking challenges in two-link space robots subjected to periodic interference. This work, published in 2022, demonstrates Dr. Min’s expertise in combining adaptive neural techniques with robust control theory to enhance precision and stability in complex robotic systems. While the paper has garnered 1 citation to date, its significance lies in addressing a critical difficulty in control algorithm design for space robotics—namely, maintaining accurate motion under external disturbances. Dr. Min’s research holds promise for advancing autonomous operations in aerospace and industrial automation, where reliable manipulator control is essential. Their work contributes to the broader field of nonlinear control and intelligent systems, offering a foundation for future studies on neural network-based adaptive controllers in dynamic environments.
Research Focus
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Top Papers
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