Kelin Feng
Papers
1
Total Citations
5
H-Index
1
About
Kelin Feng is a rising researcher in intelligent control systems, with a focus on adaptive fuzzy control, event-triggered mechanisms, and precision trajectory tracking for autonomous underwater vehicles. Their most-cited work, "Adaptive fuzzy event-triggered and precision trajectory tracking control for underwater tracked robot" (2025), addresses a critical challenge in marine robotics: achieving high-accuracy motion control while minimizing communication and computational load. By integrating adaptive fuzzy logic with event-triggered control, Feng's approach enhances the efficiency and robustness of underwater tracked robots operating in uncertain, dynamic environments. This contribution has already garnered 5 citations, signaling early impact in the field. Feng's research bridges theoretical control engineering and practical robotics, offering solutions that improve autonomy and energy efficiency in underwater exploration and inspection tasks. Their work is particularly relevant for applications in deep-sea mining, pipeline monitoring, and environmental surveying. As a developing scholar, Kelin Feng is establishing a reputation for innovative, application-driven research that pushes the boundaries of intelligent control in challenging aquatic settings.
Research Focus
Key Achievements
Top Papers
- 1