Papers
1
Total Citations
3
H-Index
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About
Yun Xu is a control systems researcher specializing in multi-agent systems, distributed control, and networked robotics. His work focuses on the synchronization and coordination of complex dynamical systems, with particular emphasis on Euler-Lagrange frameworks that model real-world mechanical and robotic systems. His most recognized contribution to date is a prescribed-time synchronization algorithm for networked heterogeneous Euler-Lagrange systems, a technically demanding problem in which multiple agents must coordinate under external disturbances without universal access to leader state information or system matrices. This work introduces a distributed prescribed-time observer-based approach, addressing fundamental challenges in robustness and scalability that are critical for practical multi-robot and networked control applications. Published in 2025, the paper has already attracted 3 citations, signaling early-stage but growing recognition within the control engineering community. Xu's research sits at the intersection of robust control theory and cooperative multi-agent systems, areas of increasing relevance as autonomous systems become more prevalent in engineering and technology. His contributions offer meaningful advances toward reliable, time-constrained coordination in uncertain and heterogeneous networked environments.
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