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

Abstract

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 and tradespace analysis efforts, and is extending its capabilities to address security trade space analysis.

Document Details

• Document Type: Technical Report
• Publication Date: Jun 21, 2018
• Accession Number: AD1056639

Entities

People

• Barry Boehm

Organizations

• University of Southern California

Tags

Communities of Interest

• Autonomy
• C4I
• Cyber
• Engineered Resilient Systems
• Ground and Sea Platforms
• Space
• Weapons Technologies

DTIC Thesaurus Topics

• Accuracy
• Cognitive Science
• Command And Control
• Computational Science
• Data Analysis
• Defense Systems
• Engineers
• Information Science
• Machine Learning
• Model Based Systems Engineering
• Operations Research
• Probability
• Reliability
• Signal Processing
• Software Development
• Systems Engineering
• Target Recognition

Readers

• Research Science/Academic Research
• Software Engineering.
• Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

• AI & ML
• AI & ML - Autonomous Systems
• Autonomy
• Autonomy - Autonomous System Control
• Space
• Space - Spacecraft Maneuvers