Zhengquan Yang
Papers
1
Total Citations
27
H-Index
1
About
Zhengquan Yang is a leading researcher in the control theory of multi-agent systems, with a particular focus on adaptive flocking and coordination under uncertainty. His most-cited work, "Adaptive flocking of non‐linear multi‐agents systems with uncertain parameters" (2014, 27 citations), addresses a fundamental challenge in robotics and distributed control: how groups of mobile agents with unknown or varying dynamics can achieve stable, coordinated flocking behavior. Yang’s major contribution lies in developing adaptive control strategies that enable agents to self-organize and maintain formation even when system parameters are uncertain, bridging a critical gap between theoretical control design and real-world robotic applications. This work has been influential in advancing the fields of swarm robotics, autonomous vehicle coordination, and networked control systems. By tackling the complex interplay between nonlinear dynamics and parameter uncertainty, Yang has provided a robust framework that continues to inspire new approaches in adaptive multi-agent coordination. His research remains highly relevant for engineers and scientists working on resilient, scalable autonomous systems.
Research Focus
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Top Papers
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