About

Yao Chen is a researcher specializing in multi-agent systems (MAS), distributed control, and autonomous robotics, with particular expertise in consensus problems and fault detection in complex networked systems. His work addresses fundamental challenges in coordinating large groups of autonomous agents operating under realistic conditions — including switching communication topologies, bounded noise, time-varying delays, and imperfect communication. Chen's most influential contribution, "Robust Consensus of Nonlinear Multiagent Systems With Switching Topology and Bounded Noises" (2015, 44 citations), demonstrates his ability to bridge theoretical rigor with practical applicability across robotics, biology, and social networks. His earlier work on discrete-time MAS with nonlinear local rules and time-varying delays (2009) helped lay foundational groundwork in the field, while his 2017 study on delay-induced discrete-time consensus reveals a continued commitment to understanding how communication constraints shape system behavior. Notably, Chen has also advanced distributed fault detection and isolation techniques for multi-robot flocking scenarios under imperfect communication — a practically significant problem in real-world deployments. Collectively, his publications have accumulated nearly 90 citations, reflecting growing recognition of his contributions to the design and analysis of resilient, scalable multi-agent systems.

Research Focus

Key Achievements

4
H-Index
4
Papers
89
Total Citations
22
Avg Citations/Paper
🏆 Most Cited Paper
Robust Consensus of Nonlinear Multiagent Systems With Switching Topology and Bounded Noises
44 citations · 2015
📈 Most Prolific Year: 2015 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Hong Kong Polytechnic University, Northeastern University, Southwestern University of Finance and Economics, Academy of Mathematics and Systems Science

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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