Atilla Dogan

The University of Texas at Arlington

Papers

1

Total Citations

13

H-Index

1

About

Atilla Dogan is a leading researcher in autonomous multi-agent systems, with a focus on unmanned aerial vehicles (UAVs) and cooperative control. His work addresses critical challenges in adversarial and cooperative multi-agent environments, particularly through the lens of graphical games and optimal control. A standout contribution is his 2023 paper on "Adversarial Multiagent Output Containment Graphical Game With Local and Global Objectives for UAVs," which tackles the complex problem of coordinating multiple leader and follower UAVs under adversarial conditions. This work, already garnering 13 citations, introduces novel frameworks for balancing local and global objectives in output containment—a key challenge for real-world aerospace and robotics applications. Dogan’s research bridges theoretical optimal control with practical multi-agent coordination, offering solutions for scenarios requiring both competition and cooperation. His contributions are vital for advancing autonomous systems in defense, surveillance, and swarm robotics, making him a respected figure in the field of UAV control and multi-agent systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
13
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Adversarial Multiagent Output Containment Graphical Game With Local and Global Objectives for UAVs
13 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: The University of Texas at Arlington

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago