Papers
2
Total Citations
22
H-Index
2
About
Xirui Fan is a researcher specializing in advanced control systems for modular robot manipulators, with a focus on decentralized fault-tolerant control. Their major contributions lie in developing robust control strategies that ensure stability and performance even under actuator faults and saturation constraints. Fan’s most cited work, “Decentralized Fault Tolerant Control for Modular Robot Manipulators via Integral Terminal Sliding Mode and Disturbance Observer” (2022), has garnered 14 citations, showcasing its impact on the field. This paper integrates integral terminal sliding mode control with disturbance observers to enhance system resilience. Building on this, Fan’s 2023 study introduces a neural adaptive integral terminal sliding mode control approach, which combines radial basis neural networks with robust controllers to address actuator saturation—a critical challenge in real-world robotics. With a total of 22 citations across their top papers, Fan’s work is recognized for pushing the boundaries of decentralized control, offering practical solutions for modular robotic systems. Their research is particularly notable for bridging theoretical control methods with real-time adaptability, making it valuable for students and engineers working on fault-tolerant systems in robotics and automation.
Research Focus
Key Achievements
Top Papers
- 1
- 2