Peiming Li
Papers
1
Total Citations
22
H-Index
1
About
Peiming Li is a researcher whose work centers on the control and coordination of multi-agent systems, with a particular focus on distributed adaptive finite-time tracking. His major contribution lies in developing robust theoretical frameworks that enable groups of autonomous agents—such as drones or robotic swarms—to achieve precise, time-critical coordination even under uncertain or dynamic conditions. His most-cited paper, "Distributed adaptive finite-time tracking for multi-agent systems and its application" (2022), has garnered 22 citations, reflecting its practical relevance to fields like cooperative surveillance and formation control. This work is notable for bridging advanced control theory with real-world applications, offering solutions that ensure both stability and speed in multi-agent tasks. Li’s research is particularly valuable for students and engineers exploring adaptive control, nonlinear systems, and networked robotics, as it provides clear, implementable strategies for complex coordination problems. His contributions continue to influence the design of resilient, high-performance multi-agent systems.
Research Focus
Key Achievements
Top Papers
- 1