Papers
5
Total Citations
27
H-Index
3
About
Dzung Tran is an emerging researcher specializing in multiagent systems, distributed control, and autonomous robotics. His work sits at the intersection of control theory and networked systems, with a particular focus on coordinating teams of nonholonomic mobile robots in real-world environments. Tran has made notable contributions to event-triggered control architectures, developing innovative norm-free and adaptive triggering laws that intelligently schedule data transmissions between robots, significantly reducing communication overhead without sacrificing system performance. His research on finite-time control of multiagent networks, which has garnered 18 citations since 2021, demonstrates his ability to leverage time transformation and separation principles to achieve robust, time-critical coordination across agent networks. Beyond theoretical advances, Tran has grounded his work in practical validation, as evidenced by experimental studies examining systems designed to balance both global objectives — such as consensus and leader-following — and local agent-specific tasks. His ongoing development of decentralized and adaptive distributed control frameworks for robot formations reflects a broader ambition to create scalable, communication-efficient solutions for next-generation autonomous systems. With a growing publication record, Tran represents a promising voice in the control and robotics research community.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5