Lianbing Huang

Technology and Engineering Center for Space Utilization

Papers

Total Citations

H-Index

About

Lianbing Huang is a prominent researcher in robotics and intelligent control systems, with a focus on enhancing the precision and robustness of robotic manipulators. His most-cited work, "Trajectory tracking control of robot manipulator based on RBF neural network and fuzzy sliding mode" (2017), has garnered 81 citations, underscoring its influence in the field. In this paper, Huang introduces a novel hybrid control strategy that integrates radial basis function (RBF) neural networks with fuzzy sliding mode control, effectively addressing challenges in trajectory tracking under uncertainties and disturbances. This contribution has advanced adaptive control methodologies, offering a more reliable framework for real-world robotic applications. Huang’s research bridges theoretical innovation and practical implementation, making his work a key reference for engineers and scholars working on nonlinear system control. His achievements highlight his role in pushing the boundaries of intelligent robotics, with his citation record reflecting sustained interest from the academic community.