Command and Control for Large-Scale Hybrid Warfare Systems

Abstract

Emerging hybrid threats in large-scale warfare systems require networked teams to perform in a reliable manner under changing mission tactics and ad-hoc reconfiguration of mission tasks and force resources. In this paper, a formal Command and Control (C2) structure is presented that allows for computer-aided execution of the networked team decision-making process, real-time tactic selection, and reliable mission reconfiguration in an ad-hoc manner. A mathematically justified networked computing environment is provided called the Augmented Discrete Event Control (ADEC) framework. ADEC is portable and has the ability to provide the logical connectivity among all team participants including mission commander, field commanders, war-fighters, and robotic platforms. The proposed C2 structure is developed and demonstrated on a simulation study involving Singapore armed forces team with three realistic symmetrical, asymmetrical, and hybrid attack missions. Extensive simulation results show that the tasks and resources of multiple missions are fairly sequenced, mission tactics are correctly selected, and missions tasks and resources are reliably reconfigured in real-time.

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Document Details

Document Type
Technical Report
Publication Date
Jun 05, 2014
Accession Number
ADA607734

Entities

People

  • Cao V. Le
  • Chee K. Pang
  • Dariusz Mikulski
  • Frank L. Lewis
  • Gregory R. Hudas

Organizations

  • University of Texas at Arlington

Tags

Communities of Interest

  • C4I
  • Electronic Warfare
  • Energy and Power Technologies
  • Engineered Resilient Systems
  • Human Systems
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aircrafts
  • Artificial Satellites
  • Command And Control
  • Communication Equipment
  • Computer Programming
  • Computers
  • Engineering
  • Equations Of State
  • Hybrid Threats
  • Hybrid Warfare
  • Military Communications
  • Personal Digital Assistants
  • Reconnaissance
  • Self Propelled Guns
  • Simulations
  • Systems Engineering
  • Warfare

Fields of Study

  • Computer science

Readers

  • Distributed Systems and Data Platform Development
  • Military History / Militaries and War Studies
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy
  • Autonomy
  • Autonomy - Autonomous System Control
  • Autonomy - UAVs
  • Fully Networked C3
  • Fully Networked C3 - Command and Control