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Cooperative Decision and Control with Intermittent Asynchronous Communication

Award Information

Agency:
Department of Defense
Branch:
Air Force
Award ID:
73368
Program Year/Program:
2005 / STTR
Agency Tracking Number:
F054-011-0264
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
DECISIVE ANALYTICS Corporation
1235 South Clark Street Suite 400 Arlington, VA -
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2005
Title: Cooperative Decision and Control with Intermittent Asynchronous Communication
Agency / Branch: DOD / USAF
Contract: FA9550-05-C-0132
Award Amount: $99,999.00
 

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.

Principal Investigator:

Nick Anderson
Senior Engineer
7036821736
nick.anderson@dac.us

Business Contact:

Kelly McClelland
Director, Business Administration
7034145024
kelly.mcclelland@dac.us
Small Business Information at Submission:

Decisive Analytics Corp.
1235 South Clark Street, Suite 400 Arlington, VA 22202

EIN/Tax ID: 541785147
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Research Institution Information:
GEORGE MASON UNIV.
4400 University Drive, MS 4C6
Fairfax, VA 22030
Contact: Patricia Carcamo
Contact Phone: (703) 993-2987
RI Type: Nonprofit college or university