During Phase 6, the Systems Qualities Ontology, Trade space, and Affordability (SQOTA) team has made significant progress, not only in research results, but also in their application and support of Do organizations and FFRDCs. Several team members are addressing coordinated control of multiple autonomous vehicles: Wayne State with TARDEC for ground vehicles; Penn State with the Navy for sea vehicles; AFIT and NPS for Air Force and Navy swarms of airborne drones, also in collaboration with USCs Azad Madnis Hidden Markov Model-based machine learning capability for dealing with uncertainties in the control of swarms of airborne drones. Georgia Tech continues to extend its versatile model-based systems engineering toolset in support of Army, Navy, and Marine Corps systems engineering andtradespace analysis efforts, and is extending its capabilities to address security trade space analysis.


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    Titel :

    System Qualities (SQs) Ontology, Tradespace and Affordability (SQOTA), Phase 6: 2017- 2018


    Beteiligte:
    B. Boehm (Autor:in)

    Erscheinungsdatum :

    2018


    Format / Umfang :

    48 pages


    Medientyp :

    Report


    Format :

    Keine Angabe


    Sprache :

    Englisch




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