Guangquan Cheng

National University of Defense Technology

Papers

Total Citations

105

H-Index

About

Guangquan Cheng is a leading researcher in the control and vibration suppression of flexible robotic manipulators, with a focus on achieving high-performance, safe, and reliable automation. His work addresses a critical challenge in modern robotics: balancing the need for rapid, precise movements with the inherent instability and vibration of flexible structures. Cheng’s major contributions lie in developing advanced control strategies that guarantee fixed-time and finite-time convergence while simultaneously enforcing output constraints to prevent system damage. For instance, his highly cited 2021 paper on fixed-time vibration control for a constrained two-link flexible manipulator (89 citations) demonstrates a novel method to achieve rapid settling without exacerbating harmful oscillations. He has further advanced the field by integrating event-triggered mechanisms to reduce computational load and communication bandwidth, as seen in his 2023 work on finite-time control for flexible-joint robots (13 citations). Additionally, Cheng explores the intersection of reinforcement learning and fuzzy logic, proposing efficient hierarchical policy networks to handle complex, uncertain environments. His research is pivotal for next-generation industrial robots, surgical assistants, and aerospace manipulators, where speed, precision, and safety are paramount.