Relational Information Space for Dynamic Systems

Abstract

Cooperative decentralized control of autonomous vehicles continues to be an important research subject for many military applications. Vehicles communicate with each other and exchange information about their relative environment and use that data to develop decentralized, coordinated control policies. Communication is often represented by an graph, and information exchange is modeled by a discrete-time dynamical system, known as the information loop. When vehicles agree on the information state they have reached an information consensus. In this work a topological manifold for representing complex networks of dynamical entities is shown to be an effective way to represent non-entropic measures of information as low dimensional embeddings in a high dimensional lifted space. A 2 dimensional embedding was developed that demonstrates an efficient frontier of graphs that dominate all others in their ability to reject disturbances and converge rapidly to a consensus.

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Document Details

Document Type
Technical Report
Publication Date
May 15, 2012
Accession Number
ADA566144

Entities

People

  • Robert A. Murphey

Organizations

  • Air Force Research Laboratory

Tags

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Autonomous Agents
  • Autonomous Systems
  • Autonomous Vehicles
  • Government Procurement
  • Governments
  • Guidance
  • Information Exchange
  • Information Processing
  • Information Systems
  • Military Applications
  • Military Research
  • Multiagent Systems
  • System Of Systems
  • Two Dimensional
  • Vehicles

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Neural Network Machine Learning.

Technology Areas

  • Autonomy
  • Autonomy - Autonomous System Control
  • Space
  • Space - Spacecraft Maneuvers