Papers

10

Total Citations

103

H-Index

6

About

Xiangyu Wang is a control systems researcher specializing in advanced modeling and robust control of flexible actuator systems, with a particular focus on pneumatic artificial muscles, tendon-sheath mechanisms, and medical robotics. His work addresses one of the most persistent challenges in soft robotics and surgical automation: taming complex hysteretic nonlinearities and uncertainties that plague flexible transmission systems. Wang's most influential contributions include developing adaptive set-membership filter-based sliding mode controllers for pneumatic artificial muscles (25 citations) and pioneering observer-based control schemes for tendon-sheath hysteresis systems (21 citations). He has made notable strides in data-driven approaches, leveraging the Koopman operator framework to model twisted tendon-sheath actuators — a creative bridge between modern data science and classical control theory (15 citations). His research carries direct clinical relevance, extending into robotic flexible endoscopes, ureteroscopy systems, and minimally invasive surgical tools, where his barrier function-based adaptive controllers and multimodal sensor fusion frameworks advance safe, precise robotic-assisted procedures. With over 100 total citations and a growing portfolio spanning rehabilitation robotics to autonomous surgical systems, Wang's work is shaping the next generation of compliant, intelligent medical robots.

Research Focus

Key Achievements

6
H-Index
10
Papers
103
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Adaptive Set-Membership Filter Based Discrete Sliding Mode Control for Pneumatic Artificial Muscle Systems With Hardware Experiments
25 citations · 2023
📈 Most Prolific Year: 2025 (3 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Nankai University, Shenzhen Institute of Information Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago