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About

Thanh-Trung Han is a control systems researcher whose work centers on multi-agent systems, autonomous vehicles, and distributed control theory — with a particular focus on the complex and practically significant problem of flocking behavior. His research has made meaningful contributions to the field by developing rigorous mathematical frameworks for coordinating groups of autonomous agents, ranging from simplified point-mass models to more demanding nonholonomic mobile robots with full dynamic models. His most influential work, "Styled-Velocity Flocking of Autonomous Vehicles" (2015, 36 citations), introduced a novel measure-theoretic approach to generating collective flocking behavior under all-to-all communication schemes, establishing a systematic design methodology that advanced the theoretical foundations of swarm control. Subsequent work tackled the notoriously difficult challenge of applying flocking protocols to nonholonomic mobile robots — systems constrained by real-world mechanical limitations — using bounded feedback controllers grounded in Lyapunov stability theory. These contributions address the critical triad of velocity consensus, collision avoidance, and cohesion maintenance, making them directly relevant to real-world robotics applications. With a growing citation record across multiple publications, Han's work provides valuable theoretical tools for researchers and engineers working on autonomous systems, swarm robotics, and intelligent transportation networks.