Jiawang Yue
Papers
1
Total Citations
10
H-Index
1
About
Jiawang Yue is a researcher specializing in intelligent control systems for autonomous marine robotics, with a particular focus on enhancing the stability and precision of robotic surface vehicles in dynamic environments. His most-cited work, "Wave-filtering finite-time self-learning extended state observers for robotic surface vehicles" (2023), introduces a novel observer design that integrates wave-filtering techniques with finite-time convergence and self-learning capabilities. This contribution addresses critical challenges in real-time state estimation and disturbance rejection for vessels operating under wave-induced perturbations, significantly improving trajectory tracking and safety. With over 10 citations, this paper underscores his impact in advancing robust control theory for maritime applications. Yue’s research bridges theoretical control engineering and practical deployment, offering solutions that reduce reliance on high-cost sensors while maintaining performance. His work is particularly notable for its focus on finite-time stability—a key requirement for time-critical missions like search-and-rescue or environmental monitoring. By combining adaptive learning with observer-based control, Yue is shaping the next generation of intelligent, resilient autonomous systems for challenging aquatic environments.
Research Focus
Key Achievements
Top Papers
- 1