Cooperative Decision and Control with Intermittent Asynchronous Communication

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA9550-05-C-0132
Agency Tracking Number: F054-011-0264
Amount: $99,999.00
Phase: Phase I
Program: STTR
Awards Year: 2005
Solicitation Year: 2005
Solicitation Topic Code: AF05-T011
Solicitation Number: N/A
Small Business Information
DECISIVE ANALYTICS CORP.
1235 South Clark Street, Suite 400, Arlington, VA, 22202
DUNS: 036593457
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Nick Anderson
 Senior Engineer
 (703) 682-1736
 nick.anderson@dac.us
Business Contact
 Kelly McClelland
Title: Director, Business Administration
Phone: (703) 414-5024
Email: kelly.mcclelland@dac.us
Research Institution
 GEORGE MASON UNIV.
 Patricia Carcamo
 4400 University Drive, MS 4C6
Fairfax, VA, 22030
 (703) 993-2987
 Nonprofit college or university
Abstract
Communication rates in UAV operations can be poor, intermittent, and asynchronous due to mitigating factors within the operating environment such as equipment limitations, equipment configurations, terrain effects, and weather conditions. The objective of this research effort is to demonstrate the coordinated control of multiple UAVs in a closed-loop, dynamic framework using limited information and intermittent asynchronous communications. This objective will be accomplished through a Decision Architecture for UAVs (DA-UAV) that is distributed in execution and functions without reliance on a centralized controller. In this proposed research effort, the DAC/GMU Team will implement a distributed inference architecture using a framework called Multi-Sectioned Bayesian Networks (MSBN). Using this approach, it is possible to decompose a unified Bayesian Network into subcomponents that operate at different locations, while intermittently exchanging data to maintain global consistency. Furthermore, the DAC-GMU team will implement different coordinated control algorithms and a Value of Information (VOI) technique to enhance selected coordinated control methods. Using VOI, actions are ranked based on their ability to effect the overall mission value of the overall system. Within this methodology, the actions of individual UAVs are geared towards avoiding redundancy within the system, causing the overall system to behave more efficiently.

* information listed above is at the time of submission.

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