Peixuan Shu
Papers
1
Total Citations
6
H-Index
1
About
Peixuan Shu is a researcher in multi-agent systems and distributed control, with a focus on time-varying formation tracking and optimization. Their most-cited work, "Distributed time-varying formation optimal tracking for multi-agent systems with optimal formation reference" (2021), addresses the challenge of enabling a team of agents to achieve a desired formation shape while simultaneously optimizing a collective performance metric. In this framework, each agent operates with only local information—its own cost function—yet the system converges to a common formation reference that is globally optimal. This contribution bridges formation control and distributed optimization, offering a scalable solution for applications in robotics, drone swarms, and autonomous vehicle coordination. With 6 citations, this paper has established Shu's work as a building block for researchers tackling decentralized coordination problems. Their research continues to advance the theoretical foundations of cooperative control, emphasizing how local decision-making can yield globally efficient outcomes in dynamic, networked environments.
Research Focus
Key Achievements
Top Papers
- 1