Papers
1
Total Citations
6
H-Index
1
About
Sai Xu is a researcher focused on advanced control systems, particularly for autonomous and self-balancing robotic platforms. Their key contributions lie in the integration of fuzzy logic control with linear parameter-varying (LPV) techniques to enhance the stability and performance of complex, nonlinear systems. In their most cited work, Xu designed a variable universe type-II fuzzy logic controller for Googol’s two-wheeled self-balancing robot, a challenging benchmark in mobile robotics. By employing linear matrix inequalities (LMIs) to dynamically adjust the fuzzy universe of discourse, their approach effectively handles system uncertainties and improves real-time error correction. This work has garnered 6 citations, reflecting its relevance to researchers in intelligent control and robotics. Xu’s research bridges theoretical fuzzy systems with practical mechatronic applications, offering robust solutions for balancing and trajectory tracking. Their achievements demonstrate a strong command of both fuzzy set theory and control engineering, making their work a valuable reference for students and engineers developing adaptive controllers for unstable, underactuated systems.
Research Focus
Key Achievements
Top Papers
- 1