Xinying Xie
Papers
1
Total Citations
1
H-Index
1
About
Xinying Xie 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 strategy that integrates wavelet neural networks (WNN) with sliding mode control (SMC) to address trajectory-tracking challenges in two-joint space robots under periodic interference. This work, published in 2022, demonstrates a novel approach to overcoming the complexities of designing robust control algorithms for multi-link robotic systems, offering improved precision and disturbance rejection. While their most-cited paper has garnered 1 citation to date, it represents a foundational step in advancing adaptive control methods for space robotics. Xie’s research is particularly relevant for students and engineers exploring the intersection of neural networks and nonlinear control, providing a practical framework for handling dynamic uncertainties in robotic applications. Their work contributes to the broader field of autonomous systems, with potential implications for space exploration and industrial automation.
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Top Papers
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