Papers
34
Total Citations
2,609
H-Index
17
About
Qing-Long Han is a distinguished researcher whose work sits at the intersection of multi-agent systems, networked control, and intelligent manufacturing. He has made foundational contributions to distributed cooperative control, particularly in the areas of sampled-data systems, consensus control, and multi-robot coordination. His 2017 survey on distributed sampled-data cooperative control of multi-agent systems has accumulated 383 citations, establishing him as a leading authority in the field. Han's investigations into fixed-time and prescribed-time consensus control have been especially influential, offering control engineers explicit settling-time estimates independent of initial conditions — a practically significant advancement reflected in over 300 citations across related works. His research on cluster formation control, flocking behaviors, and nonholonomic multi-agent dynamics has further shaped how engineers design coordinated robotic systems under real-world constraints such as communication delays and aperiodic sampling. More recently, Han has expanded his scope toward Industry 5.0 and human-centered smart manufacturing, exploring how embodied AI and large language models are reshaping industrial systems. With multiple highly cited papers spanning two decades, his body of work reflects both theoretical rigor and a keen awareness of emerging technological frontiers, making him an essential reference for researchers in control theory and intelligent systems.
Research Focus
Key Achievements
Top Papers
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- 8Fixed-Time Leader-Following Consensus for Multiple Wheeled Mobile Robots143 citations · 2019
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- 10When Embodied AI Meets Industry 5.0: Human-Centered Smart Manufacturing81 citations · 2025