Weilin Yang

Papers

Total Citations

H-Index

About

Weilin Yang has made significant contributions to the field of robotics and control systems, with a primary focus on nonlinear dynamics and intelligent control strategies for robotic manipulators. His most cited work, "Fuzzy model predictive control for 2-DOF robotic arms" (2018), addresses a critical challenge in robotics: the difficulty of tuning PID controllers for nonlinear systems. By integrating fuzzy logic with model predictive control, Yang proposed a novel framework that enhances the precision and adaptability of robotic arm control without relying on manual parameter tuning. This work has garnered 8 citations, reflecting its relevance to researchers seeking more robust and automated control solutions. Yang’s research bridges the gap between theoretical control methods and practical robotic applications, offering a systematic approach to handling complex, nonlinear dynamics. His contributions are particularly valuable for advancing autonomous systems and industrial robotics, where precise motion control is essential. Through his innovative use of fuzzy model predictive control, Yang has laid a foundation for more intelligent and self-tuning robotic systems, making his work a key reference for students and engineers exploring advanced control techniques in robotics.