Shuiqing Xu
Papers
2
Total Citations
15
H-Index
2
About
Shuiqing Xu is a leading researcher in nonlinear control systems and robotics, with a focus on fault estimation, fault-tolerant control, and autonomous positioning for high-altitude operations. Their major contributions include developing an iterative-learning scheme for fault estimation and fault-tolerant control in nonlinear variant time-delay systems, a method that enhances reliability in critical applications such as robotics, spacecraft, and industrial assembly lines. This work, published in 2022, has garnered 13 citations, reflecting its impact on advancing robust control theory. Additionally, Xu has pioneered a novel positioning method for climbing robots using 3D models of transmission towers and visual sensors, enabling safer and more efficient high-altitude maintenance. With 2 citations, this research addresses the growing demand for specialized robots in complex environments, replacing human workers in hazardous tasks. Xu’s work bridges theoretical control methods and practical robotic applications, demonstrating significant potential for improving system resilience and automation in challenging settings. Their achievements highlight a commitment to solving real-world engineering problems through innovative control and sensing techniques.
Research Focus
Key Achievements
Top Papers
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- 2