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Cooperative Control of Autonomous Systems in Uncertain Information Environments


Aerospace Systems Directorate, RQ/Aerospace Structures, Aerodynamics, and Flight Controls

RO# Location
13.30.07.B8312 Wright-Patterson AFB, OH 454337542


Name E-mail Phone
Casbeer, David W 937.713.7037


This research focuses on cooperative control problems involving autonomous agents in uncertain environments with communication restrictions. Typical scenarios of interest involve different modalities of communication (e.g., high-bandwidth, high-rate communications for short range peer-to-peer interactions and low-bandwidth, and low-rate communications over larger distances). Agents must be able to intelligently adapt to the situation at hand and base decisions on the locally available (and uncertain) information, while still guaranteeing success of the overall mission. To accomplish this, the agents must be able to ascertain what information is important to ensure correct and appropriate decision-making for success of the overall mission objective. Furthermore, with the necessary information for mission success determined, the agents must be able to keep this information accurate and up-to-date given the changing (possibly distributed) communications restrictions. With such systems, analytical tools are needed to guarantee overall mission success given that decision-making is distributed with uncertainty. The overarching topics of interest for this research effort can be summarized as follows: value-of-information, distributed estimation, and distributed decision-making/control.



Garcia E, Casbeer DW: Cooperative Task Allocation for Unmanned Vehicles with Communication Delays and Conflict Resolution. AIAA J. Aerospace Information Systems, published online: Dec, 2015, doi:10.2514/1.I010218

Garcia E, Casbeer DW, Pachter M: Cooperative Strategies for Optimal Aircraft Defense from an Attacking Missile. AIAA Journal of Guidance, Control and Dynamics 38(8): 1510-1520, 2015; doi:10.2514/1.G001083

Kalyanam K, Casbeer DW, Pachter M, Chandler P: Pursuit on a Graph Using Partial Information. American Control Conference, Chicago, IL, July 2015


Cooperative control; Distributed control; Distributed decision-making; Distributed data fusion; UAV; Pursuit-evasion; Game-theory; Task assignment;


Citizenship:  Open to U.S. citizens
Level:  Open to Postdoctoral and Senior applicants
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