Bingtao Lu

Henan University of Science and Technology

Papers

Total Citations

H-Index

About

Bingtao Lu is a researcher specializing in advanced control systems, with a particular focus on sliding mode control and its applications in robotics. His work addresses critical challenges in manipulator trajectory tracking, especially under conditions of external disturbance and system uncertainties. In his most cited paper, "Sliding mode control based on fuzzy switching gain for the robot arm" (2017), Lu proposed an innovative global sliding mode control method that integrates fuzzy logic to dynamically adjust switching gains. This approach effectively separates the mechanical-arm control into nominal and non-nominal components, enhancing robustness and precision. Although his citation count is modest, with 3 citations for this key work, his contribution lies in bridging theoretical control design with practical implementation for robotic systems. Lu’s research is particularly valuable for students and engineers working on real-time control of robotic manipulators, offering a pathway to more reliable and adaptive automation. His work exemplifies the integration of fuzzy logic with sliding mode theory to tackle complex, real-world control problems.