Papers
1
Total Citations
1
H-Index
1
About
Xinlei An is a rising researcher in nonlinear dynamics and control systems, with a focus on the intersection of electromechanical systems and neural circuit modeling. Their most-cited work, "Synchronization and energy control for a class of electro-mechanical system coupled with piezoelectric neural circuit" (2025), introduces novel approaches to harnessing energy in complex coupled systems, demonstrating how piezoelectric elements can stabilize and synchronize neural-inspired circuits. This contribution addresses critical challenges in energy harvesting and bio-inspired engineering, offering pathways for designing more efficient, self-sustaining devices. With growing recognition in the field, An’s research bridges theoretical physics and practical applications, particularly in robotics and neuromorphic computing. Though early in their career, their work has already garnered attention for its innovative integration of control theory and energy management, laying groundwork for future advancements in adaptive systems. An’s dedication to exploring emergent behaviors in nonlinear networks positions them as a promising voice in the next generation of dynamical systems researchers.
Research Focus
Key Achievements
Top Papers
- 1