Papers
15
Total Citations
831
H-Index
8
About
Xing-Gang Yan is a distinguished control systems researcher whose work spans robust fault detection, sliding mode control, mobile robotics, and biomedical micromanipulation. Based at the University of Kent, Yan has made foundational contributions to nonlinear control theory, most notably through his highly influential 2007 paper on sliding mode observers for fault reconstruction and estimation, which has accumulated over 550 citations and stands as a landmark reference in fault-tolerant control literature. His research consistently bridges rigorous theoretical development with real-world application: he has advanced sliding mode control (SMC) design through generalized regular forms and novel nonlinear sliding surfaces, demonstrated through trajectory tracking on two-wheeled mobile robots. Yan has also contributed meaningfully to biomedical robotics, developing PD control schemes for optical tweezer-based cell manipulation and addressing visual feedback challenges in limited field-of-view environments. Earlier work explored CAD-directed robotic assembly planning, reflecting the breadth of his engineering interests. His iterative learning control research further demonstrates range, addressing nonlinear time-varying systems with unknown initial conditions. Across his career, Yan has established himself as a versatile and impactful figure in modern control engineering, with cumulative citations exceeding 800.
Research Focus
Key Achievements
Top Papers
- 1
- 2CAD-directed automatic assembly sequence planning74 citations · 1995
- 3Simple PD Control Scheme for Robotic Manipulation of Biological Cell44 citations · 2014
- 4
- 5Nonlinear sliding mode control of a two-wheeled mobile robot system36 citations · 2017
- 6
- 7Nonlinear sliding mode control of a two-wheeled mobile robot system16 citations · 2017
- 8
- 9
- 10Robotic cell manipulation using optical tweezers with limited FOV4 citations · 2014