Complexity in UAV Cooperative Control

Abstract

This paper addresses complexity and coupling issues in cooperative decision and control of distributed autonomous UAV teams. In particular, the recent results obtained by the in-house research team are presented. Hierarchical decomposition is implemented where team vehicles are allocated to subteams using set partition theory. Results are presented for single assignment and multiple assignment using network flow and auction algorithms. Simulation results are presented for wide area search munitions where complexity and coupling are incrementally addressed in the decision system, yielding radically improved team performance.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2004
Accession Number
ADA426660

Entities

People

  • Dharba Swaroop
  • Jason K. Howlett
  • Jeffrey M. Fowler
  • Meir Pachter
  • Phillip R. Chandler

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Air Platforms
  • Autonomy

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Aircrafts
  • Algorithms
  • Control Systems
  • Control Systems Engineering
  • Control Theory
  • Cooperative Control
  • Couplings
  • Decomposition
  • Government Procurement
  • Governments
  • Linear Programming
  • Operations Research
  • Simulations
  • Systems Engineering
  • Unmanned Aerial Vehicles

Fields of Study

  • Computer science

Readers

  • Distributed Systems and Data Platform Development
  • Operations Research
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.