Coordinating Networked Uninhabited Air Vehicles for Persistent Area Denial

Abstract

This paper explores the problem of cooperative control among multiple networked unmanned air vehicles (UAVs) for a persistent area denial (PAD) mission. An adaptive Markov chain model is used to predict the locations of pop-up threats. The mixed information of predicted pop-up threats and actual pop-up targets is utilized to develop cooperative strategies for networked UAVs. The approach is illustrated by use of a simulation test bed for multiple networked UAVs and Monte Carlo simulation runs to evaluate the cooperative strategy set forth here. Both theoretical analysis and simulation results are presented to demonstrate the effectiveness of using predicted pop-up information in improving the overall PAD mission performance.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Dec 17, 2004
Accession Number
ADA445060

Entities

People

  • Andrew G. Sparks
  • Jose B. Cruz Jr.
  • Yong Liu

Organizations

  • Ohio State University

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Air Force Research Laboratories
  • Aircrafts
  • Algorithms
  • Area Denial
  • Cooperative Control
  • Earth Sciences
  • Electronic Mail
  • Markov Chains
  • Military Applications
  • Probability
  • Probability Distributions
  • Random Variables
  • Simulations
  • Spatial Distribution
  • Standards
  • Two Dimensional
  • Vehicles

Readers

  • Aerial Unmanned Vehicle Swarm Micro Periodontal Dentistry.
  • Computational Modeling and Simulation
  • Computer Networking

Technology Areas

  • Autonomy
  • Autonomy - Autonomous System Control
  • Autonomy - UAVs