Cooperative Networked Control of Dynamical Peer-to-Peer Vehicle Systems

Abstract

The goal of this MURI center was the development of a rigorous theoretical foundation, and scalable analytical tools and paradigms for construction of networked control for large numbers of autonomous and semi-autonomous air vehicles. The research is specifically aimed at the critical reliability and performance issues facing autonomous vehicle systems which operate in highly uncertain environments, and enables the vehicles to form teams, manage information, and coordinate operations including deployment, task allocation and search. The program produced both the fundamental theory necessary to allow systematic performance analysis, verification and validation of such systems, as well as algorithms for implementation, and design software.

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Document Details

Document Type
Technical Report
Publication Date
Dec 28, 2007
Accession Number
ADA475560

Entities

People

  • Daniel Liberzon
  • Emilio Frazzoli
  • Francesco Bullo
  • Geir E. Dullerud
  • John C. Mitchell
  • Nancy Lynch
  • P. R. Kumar
  • Sanjay Lall
  • Sanjoy K. Mitter
  • Éric Féron

Organizations

  • University of Illinois Urbana–Champaign

Tags

Communities of Interest

  • Autonomy
  • C4I
  • Energy and Power Technologies
  • Human Systems
  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Aircrafts
  • Algorithms
  • Artificial Intelligence
  • Automata Theory
  • Closed Loop Systems
  • Communication Channels
  • Computational Science
  • Computer Programming
  • Computers
  • Control Systems
  • Fixed Wing Aircraft
  • Motion Planning
  • Network Science
  • Probabilistic Models
  • Sensor Networks
  • Unmanned Aerial Vehicles
  • Wireless Communications

Fields of Study

  • Computer science
  • Engineering

Readers

  • Distributed Systems and Data Platform Development
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • Autonomy
  • Autonomy - Autonomous System Control