Agent And Component Object Framework For Concept Design Modeling Of Mobile Cyber Physical Systems

Abstract

Military intelligent ground vehicle systems (MIGVS) have a wide variation in computationally controlled behavior logic that involves the interaction of both cyber and physical components as well as more typical systems engineering modeling needs and constraints. Current system concept design methods do not sufficiently address either the variation in cyber behavior linked to mission effectiveness or the integrated dependencies and interaction between the cyber and physical components. In this work, model-based concepts are developed to capture the required behavior logic as solution and assembly independent state-based agents and objects. These logical objects can be realized by alternative implementations and assembly aggregations, to include human assemblies. The approach contributes a more thorough and robust model of the subject problem domain. These concepts include an agent and component object system data metamodel, supporting structural system classes, and state-based behavior concepts. The concepts are applied to a case study project to produce a solution-independent system concept design.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2018
Accession Number
AD1053288

Entities

People

  • Curtis G. Adams

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

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

DTIC Thesaurus Topics

  • Application Software
  • Artificial Intelligence
  • Collision Avoidance
  • Computer Programming
  • Computers
  • Control Systems
  • Embedded Systems
  • Engineers
  • Information Processing
  • Information Science
  • Information Systems
  • Jet Propulsion
  • Multiagent Systems
  • Situational Awareness
  • Software Design
  • Software Development
  • Systems Engineering

Fields of Study

  • Computer science
  • Engineering

Readers

  • Artificial Intelligence
  • Computational Modeling and Simulation
  • Software Engineering

Technology Areas

  • Cyber