Xinyan Chen
Papers
1
Total Citations
24
H-Index
1
About
Xinyan Chen is a leading researcher in the field of intelligent control systems, with a primary focus on adaptive fuzzy control, underwater robotics, and nonlinear system dynamics. Chen’s most impactful work addresses the complex challenges of trajectory tracking for multi-legged underwater robots, particularly under the constraints of input saturation and full-state limitations. In a highly cited 2021 paper (24 citations), Chen introduced a novel adaptive interval type-2 fuzzy control strategy that incorporates an anti-windup compensator to mitigate saturation effects, ensuring stable and precise robot movement in demanding underwater environments. This contribution is critical for advancing autonomous underwater exploration and manipulation. Chen’s research is distinguished by its rigorous integration of fuzzy logic with real-world physical constraints, offering practical solutions for robotic systems operating in uncertain and constrained conditions. With a growing citation record, Chen is recognized for bridging theoretical control advancements with applied robotics, making significant strides in enhancing the autonomy and reliability of underwater vehicles.
Research Focus
Key Achievements
Top Papers
- 1