Jinghao Yan

Jiangsu University of Science and Technology

Papers

Total Citations

H-Index

About

Jinghao Yan is a researcher specializing in underwater robotics and advanced motor control systems. His work addresses critical challenges in the synchronization and stability of multi-motor systems used in underwater robots, which are essential for exploring and developing underwater resources. Yan's most cited paper, "Improved Multi-Motor Synchronization Control of Underwater Robot Based on Virtual Shaft" (2021), proposes a novel control strategy that mitigates speed and load imbalances in multi-motor setups operating under random environmental disturbances. By leveraging a virtual shaft synchronization approach, his research enhances the reliability and precision of underwater robotic platforms, contributing to more robust performance in unpredictable marine conditions. With 6 citations, this work has gained attention for its practical implications in improving the efficiency of underwater exploration and manipulation tasks. Yan's contributions are particularly valuable for advancing autonomous underwater vehicles and industrial underwater systems, where coordinated motor control is critical. His research continues to influence the development of resilient robotic systems capable of operating in challenging subsea environments.