Guibing Zhu

Dalian Maritime University, Zhejiang Ocean University

Papers

Total Citations

H-Index

About

Guibing Zhu is a leading researcher in nonlinear control theory and aerial robotics, with a focus on adaptive control for complex, safety-critical systems. His work addresses fundamental challenges in the control of uncertain Euler-Lagrange systems, where he developed robust adaptive neural control strategies that achieve practical fixed-time tracking even under severe input saturations—a breakthrough for applications requiring both speed and reliability. This highly cited 2020 paper (60 citations) has become a cornerstone for researchers working on real-time control of robotic manipulators and autonomous vehicles. In parallel, Zhu has made significant contributions to the design and control of cable-driven unmanned aerial manipulators (UAMs), as demonstrated in his 2023 work on water sampling. By integrating a lightweight, cable-driven manipulator with a quadrotor, he solved critical problems in system modeling and motion control, enabling precise aerial manipulation for environmental monitoring. His work bridges theoretical rigor with practical deployment, earning recognition for advancing the capabilities of aerial robots in unstructured environments.