Ruijie Jing
Papers
1
Total Citations
24
H-Index
1
About
Ruijie Jing is a leading researcher in the field of intelligent control systems and underwater robotics, with a particular focus on adaptive fuzzy control and nonlinear system constraints. Their most notable contribution is the development of an adaptive interval type-2 fuzzy control strategy for multi-legged underwater robots, addressing the critical challenges of input saturation and full-state constraints. This work, published in 2021 and garnering 24 citations, introduces an innovative anti-windup compensator that effectively mitigates saturation differences, enabling precise trajectory tracking in complex underwater environments. Jing’s research bridges the gap between theoretical control design and practical robotic applications, offering robust solutions for autonomous underwater vehicles operating under real-world physical limitations. Their work has significant implications for marine exploration, underwater inspection, and environmental monitoring, where reliable and adaptive control is essential. By advancing type-2 fuzzy logic systems to handle higher levels of uncertainty, Jing has established themselves as a key contributor to the next generation of intelligent, constraint-aware robotic systems.
Research Focus
Key Achievements
Top Papers
- 1