Dissertation/Thesis Abstract

Use of Model-Based Design Methods for Enhancing Resiliency Analysis of Unmanned Aerial Vehicles
by Knox, Lenora A., D.Engr., The George Washington University, 2017, 154; 10265223
Abstract (Summary)

The most common traditional non-functional requirement analysis is reliability. With systems becoming more complex, networked, and adaptive to environmental uncertainties, system resiliency has recently become the non-functional requirement analysis of choice. Analysis of system resiliency has challenges; which include, defining resilience for domain areas, identifying resilience metrics, determining resilience modeling strategies, and understanding how to best integrate the concepts of risk and reliability into resiliency. Formal methods that integrate all of these concepts do not currently exist in specific domain areas. Leveraging RAMSoS, a model-based reliability analysis methodology for Systems of Systems (SoS), we propose an extension that accounts for resiliency analysis through evaluation of mission performance, risk, and cost using multi-criteria decision-making (MCDM) modeling and design trade study variability modeling evaluation techniques. This proposed methodology, coined RAMSoS-RESIL, is applied to a case study in the multi-agent unmanned aerial vehicle (UAV) domain to investigate the potential benefits of a mission architecture where functionality to complete a mission is disseminated across multiple UAVs (distributed) opposed to being contained in a single UAV (monolithic). The case study based research demonstrates proof of concept for the proposed model-based technique and provides sufficient preliminary evidence to conclude which architectural design (distributed vs. monolithic) is most resilient based on insight into mission resilience performance, risk, and cost in addition to the traditional analysis of reliability.

Indexing (document details)
Advisor: Sarkani, Shahram, Mazzuchi, Thomas A.
Commitee: Hodges, Vincent
School: The George Washington University
Department: Engineering Management
School Location: United States -- District of Columbia
Source: DAI-B 78/09(E), Dissertation Abstracts International
Source Type: DISSERTATION
Subjects: Management, Aerospace engineering, Systems science
Keywords: Distributed architecture, Mission analysis, Model-based systems engineering, Resilience analysis, Unmmanned aerial vehicles, Variability modeling
Publication Number: 10265223
ISBN: 9781369705713
Copyright © 2019 ProQuest LLC. All rights reserved. Terms and Conditions Privacy Policy Cookie Policy
ProQuest