Meng Fan

Papers

Total Citations

H-Index

About

Meng Fan is a pioneering researcher in robotics and intelligent control systems, with a particular focus on pneumatic actuation and fuzzy logic methodologies. His most-cited work, "Asymmetric Fuzzy PID Control for Pneumatic Robot Position Control System" (2002), introduces a novel asymmetric fuzzy PID algorithm that addresses critical challenges in single-rod cylinder control—namely, the asymmetries arising from structural design and directional friction variations. This contribution has laid foundational groundwork for improving precision and stability in pneumatic robot positioning, a key area in industrial automation and soft robotics. Although his citation count remains modest, Fan’s work is notable for its targeted solution to a longstanding engineering problem, demonstrating deep technical insight and practical applicability. His research bridges theoretical fuzzy control with real-world robotic systems, offering valuable methodologies for students and engineers working on nonlinear control challenges. Fan’s achievements underscore the importance of specialized, application-driven research in advancing robotic manipulation and actuation technologies.