Next Generation Adaptive Cyber Physical Human Systems

Abstract

Cyber-Physical-Human Systems (CPHS) are a class of safety-critical, sociotechnical systems in which the interactions between the physical system and cyber elements that control its operation are influenced by human agents. The key distinguishing feature of CPHS are that human (agents) can intervene in cyber-physical system (CPS) task execution to redirect the system, or supply needed information, not just to assume full control, or exercise manual-override of CPS processes or tasks. CPHS typically allow other systems, devices, and data streams to connect/disconnect as needed during mission execution. In adaptive CPHS, humans collaborate with the cyber-physical elements to jointly accomplish tasks and adapt as needed to changing contexts to accomplish mission goals. The adaptation exploits prior knowledge and new knowledge gleaned from online machine learning while accommodating human cognitive constraints. A DoD-relevant problem scenario concerned with maintaining physical security of a stationary transport aircraft using building mounted cameras and a team of quadcopters that collectively maintain perimeter coverage is used to demonstrate the capabilities of the adaptive CPHS. The exemplar scenario is used to illustrate the interactions between the human and the cyber-physical system, as well as ongoing adaptations to restore loss of perimeter coverage arising from ongoing disruptions (e.g., loss of a quadcopter). This final report presents our accomplishments on this effort.

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Document Details

Document Type
Technical Report
Publication Date
Sep 04, 2019
Accession Number
AD1099997

Entities

People

  • Ayesha Madni
  • Azad M. Madni
  • Dan Erwin
  • Edwin Ordoukhanian
  • Parisa Pouya
  • Shatad Purohit

Organizations

  • Stevens Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • C4I
  • Cyber
  • Engineered Resilient Systems
  • Human Systems
  • Space

DTIC Thesaurus Topics

  • Cognitive Systems Engineering
  • Control Systems
  • Department Of Defense
  • Engineering
  • Engineers
  • Human Behavior
  • Human-Machine Interaction
  • Human-Machine Systems
  • Image Processing
  • Intellectual Property
  • Intelligent Systems
  • Machine Learning
  • Ontologies
  • Pattern Recognition
  • Simulators
  • Systems Engineering
  • United States

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Software Engineering.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • Cyber