Younan Zhao
Papers
1
Total Citations
47
H-Index
1
About
Dr. Younan Zhao is a leading figure in the field of multiagent systems (MASs) and distributed control, with a particular focus on advanced formation strategies and resilience against external disturbances. His most cited work, "Event-Triggered Bipartite Time-Varying Formation Control for Multiagent Systems With Unknown Inputs" (2022, 47 citations), addresses a critical challenge in cooperative control: achieving bipartite time-varying formation (BTVF) on signed digraphs. This research is notable for its novel integration of event-triggered mechanisms, which significantly reduce communication overhead, while simultaneously handling unknown leader inputs and external disturbances affecting both leaders and followers. Dr. Zhao’s contributions are pivotal for applications in autonomous drone swarms and robotic teams operating in adversarial or uncertain environments. By solving the complex problem of maintaining dynamic formations under input uncertainty, his work provides a robust framework for real-world deployment. With a growing citation impact, Dr. Zhao is recognized for pushing the boundaries of resilient, communication-efficient control theory, making him a key researcher for students and engineers interested in next-generation autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1