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Control of Cooperative Engagements with Robust and Distributed Optimization…

Award Information

Agency:
Department of Defense
Branch:
Air Force
Award ID:
73369
Program Year/Program:
2005 / STTR
Agency Tracking Number:
F054-011-0084
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Toyon Research Corp.
6800 Cortona Drive Goleta, CA 93117-3021
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2005
Title: Control of Cooperative Engagements with Robust and Distributed Optimization (Concerto(TM))
Agency / Branch: DOD / USAF
Contract: FA9550-05-C-0164
Award Amount: $100,000.00
 

Abstract:

Toyon Research Corporation proposes to develop decision and control algorithms for cooperative agents operating under an intermittent asynchronous communication network. Agents will be expected to perform a variety of cooperative missions such as persistent intelligence, surveillance, and reconnaissance (ISR), target search, acquisition, and tracking, area denial, attack, and battle damage assessment under dynamically-varying bandwidth limitations, intermittent communications, and limited information. Two key features of the proposed cooperative control system include (1) the use of an estimator-based distributed architecture allowing each UAV to internally model the actions of the others, and (2) the introduction of a communications index to scale the algorithms from centralized control to distributed control. The estimator-based distributed architecture models a centralized design by attempting to compute the control actions for each individual agent as a function of the agents' positions and the global information state (GIS). The communication index permits our control algorithms to transition from a completely centralized solution to a decentralized one based on the information rate available to each agent within the cooperative network. The performance of the system will be guaranteed to degrade gracefully with the level of information available to each agent. Toyon will implement the algorithms developed under this effort in its SLAMEMT simulation and will demonstrate their effectiveness under varying levels of information throughput. In Phase I, Toyon will use a simple cooperative search and attack scenario to demonstrate the performance of the system in real-time. Bandwidth limitations, time delays with uncertain intervals, and network topology limitations will be incorporated into the simulation. The extent of reliable communications required to ensure robust cooperative control will be evaluated. In Phase II, Toyon will improve the algorithms and simulation models and will demonstrate the real-time operation of the concept for an Air Force approved scenario.

Principal Investigator:

Gaemus E. Collins
Analyst
8056853480
gcollins@toyon.com

Business Contact:

Marcella R. Lindbery
Director of Finance and Contracts
8059686787
mlindbery@toyon.com
Small Business Information at Submission:

Toyon Research Corp.
Suite A, 75 Aero Camino Goleta, CA 93117

EIN/Tax ID: 953526665
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Research Institution Information:
UNIV. OF CALIFORNIA, SANTA BARBARA
Office of Research, 3227 Cheadle Hall, UCSB
Santa Barbara, CA 93106
Contact: Nancy R. Lewis
Contact Phone: (805) 893-4034
RI Type: Nonprofit college or university