SBIR/STTR Research Award

Game-Theoretic Space Situational Analysis Toolbox (GaTSSAT)

Award identifier f31c13ee5d954b2a9b46a4c0ec282aaf4626680da85de24b3b24abbe91f41403Awarding agency Department of Defense · Air Force

Award amount

$149,988

Program and phase

STTR · Phase I

Award year

2013

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Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
SCIENTIFIC SYSTEMS COMPANY, INC.
Proposal award date
2013-03-22
Contract end date
2013-12-22
UEI
C12TQVKF5413
Solicitation number
2012.B
Topic code
AF12-BT09

Research 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.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

464 SBIR/STTR records share this UEI (1983–2025). Reported award amounts total $186,567,405. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Defense, National Aeronautics and Space Administration, National Science Foundation, Department of Energy, Department of Health and Human Services, Department of Homeland Security

Agency intelligence

Department of Defense

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