Papers
62
Total Citations
1,887
H-Index
22
About
YangQuan Chen is a prolific researcher whose work spans robotics, control systems, and networked autonomous systems, with particularly deep contributions to iterative learning control (ILC) and multi-agent coordination. His foundational texts on ILC — including his widely cited 1999 work on convergence and robustness and the subsequent 2010 treatment of interval systems — have become essential references, collectively drawing nearly 450 citations and establishing him as a leading authority in repetitive learning-based control design. Chen's 2005 review on formation control (392 citations) remains a landmark survey in the field, synthesizing key strategies for coordinating unmanned vehicles and robots in complex, real-world environments. Beyond theoretical contributions, he has championed experimental validation, as seen in his 2008 work demonstrating consensus algorithms on mobile actuator-sensor networks. His pioneering exploration of mobile actuator-sensor networks (MAS-net) for diffusion boundary detection opened new avenues in environmental monitoring and distributed sensing. Further contributions in vision-guided robot imitation, omni-directional vehicle path-following, and fractional-order control reflect the remarkable breadth of his research. Across disciplines, Chen consistently bridges mathematical rigor with practical engineering application, making his work invaluable to students and researchers in control theory, robotics, and cyber-physical systems.
Research Focus
Key Achievements
Top Papers
- 1Formation control: a review and a new consideration392 citations · 2005
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- 3Iterative Learning Control: Convergence, Robustness and Applications209 citations · 1999
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- 10Design, implementation and application of distributed order PI control42 citations · 2013