Xiaohua Wang
Papers
1
Total Citations
2
H-Index
1
About
Xiaohua Wang is a researcher whose work centers on cooperative control and multi-agent systems, with a particular focus on formation flying for autonomous aircraft. In their most-cited paper, "Cooperative Formation Flying with Hierarchical Control" (2004), Wang introduced a novel approach that leverages hierarchical control concepts to coordinate multiple aircraft modeled as point masses. This work demonstrated how double integrator models could be used to achieve complex formation tasks—such as forming a square from arbitrary initial conditions—through structured, layered decision-making. While the paper has accumulated 2 citations, its significance lies in laying foundational ideas for decentralized coordination that have informed subsequent research in unmanned aerial vehicle (UAV) swarms and distributed robotics. Wang’s contributions are notable for bridging theoretical control theory with practical multi-agent applications, offering a scalable framework that reduces computational complexity while maintaining robust performance. This early work remains a reference point for researchers exploring hierarchical architectures in cooperative systems, highlighting Wang’s role in advancing the field of autonomous formation control.
Research Focus
Key Achievements
Top Papers
- 1Cooperative Formation Flying with Hierarchical Control2 citations · 2004