Xudong Tao
Papers
1
Total Citations
17
H-Index
1
About
Xudong Tao is a leading researcher in multi-agent systems and consensus control, with a particular focus on event-triggered strategies and fixed-time stability. His most-cited work, "Dynamic Event-Triggered Fixed-Time Consensus Control and Its Applications to Magnetic Map Construction" (2023, 17 citations), introduces a novel fixed-time consensus control approach that leverages a dynamic event-triggered rule. This work not only advances theoretical understanding by providing a less conservative settling time for fixed-time stability but also demonstrates practical utility in magnetic map construction—a critical application for autonomous navigation and robotics. Tao’s contributions are distinguished by their ability to bridge rigorous control theory with real-world implementation, offering efficient, resource-aware solutions for networked systems. His research has significant implications for the development of resilient and scalable multi-agent systems, making him a notable figure in the field of control engineering and automation.
Research Focus
Key Achievements
Top Papers
- 1