Wei-Zhe Fan
Papers
2
Total Citations
7
H-Index
2
About
Wei-Zhe Fan is a researcher specializing in intelligent control systems, robotics, and fault-tolerant control. His work focuses on developing adaptive and robust control strategies for complex nonlinear systems, particularly robotic manipulators. Fan's most-cited paper, "Adaptive fuzzy sliding mode control for a two-link robot" (2005), introduces a novel approach that combines fuzzy logic with sliding mode control to achieve robust tracking in multivariable nonlinear systems, even when system dynamics are unknown. This work has garnered 5 citations and laid the foundation for his subsequent research. In a follow-up study (2006), Fan proposed a "Robust Fault-Tolerant Control for Robotic System Using Recurrent Cerebellar Model Articulation Controller," which integrates an online fault estimation module with a recurrent cerebellar model articulation controller (RCMAC) to maintain system stability and performance in the presence of actuator faults. Though less cited, this work demonstrates his commitment to enhancing the reliability and safety of robotic systems. Fan's contributions are particularly valuable for students and researchers exploring adaptive control, fuzzy systems, and fault-tolerant design in robotics and automation.
Research Focus
Key Achievements
Top Papers
- 1Adaptive fuzzy sliding mode control for a two-link robot5 citations · 2005
- 2