Game-Theoretic Space Situational Analysis Toolbox (GaTSSAT)

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$149,988.00
Award Year:
2013
Program:
STTR
Phase:
Phase I
Contract:
FA9453-13-M-0061
Award Id:
n/a
Agency Tracking Number:
F12B-T09-0064
Solicitation Year:
2012
Solicitation Topic Code:
AF12-BT09
Solicitation Number:
2012.B
Small Business Information
500 West Cummings Park - Ste 3000, Woburn, MA, -
Hubzone Owned:
N
Minority Owned:
Y
Woman Owned:
N
Duns:
859244204
Principal Investigator:
Aleksandar Zatezalo
Senior Research Engineer
(781) 933-5355
aleksandar.zatezalo@ssci.com
Business Contact:
Jay Miselis
Corporate Controller
(781) 933-5355
contracts@ssci.com
Research Institution:
University of Illinois at Urbana-Ch
Dusan M Stipanovic
College of Engineering
1308 West Main Street
Urbana, IL, 61801-
(217) 244-0907
Nonprofit college or university
Abstract
ABSTRACT: By considering multiple space-based teams of cooperative and/or uncooperative players with varying orbital geometries and defense/offense capabilities such as sporadic observations, jamming confrontations, and sparse communications, the main challenges in derivation of effective decisions for autonomous space systems are: (a) development of effective game models and game training algorithms; (b) derivation of efficient techniques for distributed learning in challenging scenarios; (c) derivation of multi-player cooperative strategies in persistent area denial; and (d) developing algorithm performance assessments for evaluating and further development of algorithm robustness. To effectively address these challenges, Scientific Systems Company, Inc. (SSCI) team that includes Professor Duan Stipanovic and Professor Tamer Basar from the University of Illinois at Urbana-Champaign (UIUC), proposes to develop Game-Theoretic Space Situational Analysis Toolbox (GaTSSAT) algorithms and methods based on recent advancements in stochastic game theory, multi-agent and multi-goal game methods, multi-objective control strategies, multi-player confrontation learning algorithms, and optimal Space Situational Awareness (SSA) estimation methods. The proposed Phase I proof-of-concept development includes: (i) novel game-theoretic control designs; (ii) prototype software algorithms; and (iii) simulation testbed and performance metrics. Phase II and III will include further development for transition into real-time systems and commercialization. BENEFIT: Effective game decision models and efficient computational algorithms for deriving optimal strategies are important technologies for effective Space Situational Awareness and decision making in complex Earth orbit environments with important military and commercial applications that include air traffic control, commercial space operations, asset protection, surveillance, and security systems. The military applications include space and Earth surveillance, ballistic missile defense, targeting, and communications. The proposed Game-Theoretic Space Situational Analysis Toolbox (GaTSSAT) technology will improve the current capabilities and bring new capabilities to military decision makers that have to operate with partial information in highly dynamic environments with multi-level confrontations. Homeland security and law enforcement will also benefit from GaTSSAT technology. Commercial applications exist in areas such as natural disaster management, robotics, medical industry, and manufacturing processes.

* information listed above is at the time of submission.

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