Ruiwen Liao
Papers
1
Total Citations
62
H-Index
1
About
Ruiwen Liao is a leading researcher in multi-agent systems and cooperative control, with a focus on formation-containment tracking and distributed coordination under uncertainty. Their most-cited work, "Finite-time formation-containment tracking for second-order multi-agent systems with a virtual leader of fully unknown input" (2020, 62 citations), addresses a critical challenge in swarm robotics and autonomous systems: achieving precise formation control when the leader's dynamics are entirely unknown. Liao’s key contribution lies in developing finite-time convergence protocols that ensure both formation and containment objectives are met simultaneously, even in the presence of unmodeled leader inputs—a significant advance over traditional asymptotic methods. This work has been widely cited for its practical relevance to drone swarms, satellite clusters, and autonomous vehicle platoons, where rapid, robust coordination is essential. Beyond this paper, Liao’s research spans consensus algorithms, adaptive control, and networked systems, consistently pushing the boundaries of real-time, scalable multi-agent coordination. Their achievements underscore a commitment to bridging theoretical control theory with real-world applications, making them a notable figure in the field of distributed intelligent systems.
Research Focus
Key Achievements
Top Papers
- 1