Hualiang Guo

East China University of Science and Technology

Papers

Total Citations

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About

Hualiang Guo is a rising researcher in the field of multiagent systems, with a primary focus on distributed adaptive control and consensus algorithms. His most cited work, "Scaled consensus of second‐order multiagent systems via distributed adaptive control" (2021, 15 citations), addresses a critical challenge in coordinating dynamic agent networks—enabling agents to achieve scaled rather than identical agreement on position and velocity states. This contribution is significant for applications ranging from robotic swarms to sensor networks, where proportional coordination is essential. By proposing two novel distributed adaptive protocols, Guo advances the theoretical foundations of consensus control, offering solutions that adapt to changing network topologies without requiring global information. His work demonstrates a strong command of nonlinear control theory and adaptive mechanisms, positioning him as a promising contributor to the broader field of cooperative control. While still early in his career, Guo’s research has already garnered attention, reflecting its practical relevance and technical rigor. For students and researchers exploring distributed systems, his studies provide a clear, mathematically grounded entry point into modern adaptive consensus strategies.