Papers
15
Total Citations
527
H-Index
10
About
Fan Zhang is a prolific researcher whose work sits at the intersection of space robotics, autonomous systems, and advanced control theory. His research has made substantial contributions to two major domains: active space debris removal using tethered space net robots (TSNRs) and distributed multi-agent formation control. Zhang's most influential work addresses one of modern spaceflight's pressing challenges — orbital debris. His pioneering studies on tethered space net robots have advanced the field's understanding of contact dynamics, postcapture stabilization, and adaptive control under uncertain kinematics and disturbances, with his 2016 paper on space debris removal alone accumulating 87 citations. His development of impulsive super-twisting sliding-mode and fuzzy-based adaptive control strategies has provided practical, robust frameworks for real-world debris capture scenarios. Equally significant is Zhang's contribution to multi-agent systems, where his 2018 paper on distributed formation control using artificial potentials and neural networks has garnered over 110 citations, making it his most recognized work. This research elegantly combines radial basis function neural networks with potential field methods to address constrained nonlinear multi-agent dynamics. Across more than a decade of research, Zhang's cumulative citation record reflects a researcher whose theoretical innovations carry clear engineering relevance, making his body of work essential reading for students and practitioners in robotics and autonomous control.
Research Focus
Key Achievements
Top Papers
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- 7Contact Dynamics and Control for Tethered Space Net Robot37 citations · 2018
- 8Robust distributed consensus for deployment of Tethered Space Net Robot30 citations · 2018
- 9Formation Control of Nonholonomic Mobile Robots Using Distributed Estimators27 citations · 2020
- 10Stability control of a flexible maneuverable tethered space net robot18 citations · 2018