Zibo Kang

Papers

Total Citations

H-Index

About

Zibo Kang is a researcher whose work centers on the advanced control of robotic manipulators, with a particular focus on vibration suppression and robust control theory. His major contributions lie in the application of sophisticated control methodologies—specifically gain-scheduling H∞ control and μ-synthesis—to address the challenging dynamics of SCARA-type robot manipulators. These systems are characterized by highly nonlinear, time-varying properties and structural flexibility, which often lead to residual vibrations that degrade performance. Kang’s research provides rigorous, theoretical frameworks for mitigating these vibrations, enhancing the precision and stability of industrial robots. While his citation counts (4 and 3 for his most-cited papers) are modest, his work is notable for its early and specialized application of Linear Matrix Inequalities (LMIs) and robust control techniques to a practical, real-world problem in robotics. His contributions are particularly valuable for engineers and researchers working on the control of flexible structures and the development of high-performance industrial automation systems.