Information consensus in multivehicle cooperative control

20073,153 citationsJournal Article

Authors

Randal W. Beard · Brigham Young University

Ella Atkins · University of Michigan–Ann Arbor

Abstract

The purpose of this article is to provide a tutorial overview of information consensus in multivehicle cooperative control. Theoretical results regarding consensus-seeking under both time invariant and dynamically changing communication topologies are summarized. Several specific applications of consensus algorithms to multivehicle coordination are described

Topics & Keywords

Distributed Control Multi-Agent Systems Neural Networks Stability and Synchronization Advanced Memory and Neural Computing

Publication Details

Published in: IEEE Control Systems

Volume 27, Issue 2, pp. 71-82

DOI: 10.1109/mcs.2007.338264

Field-Weighted Citation Impact: 96.82

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Information consensus in multivehicle cooperative control

Authors

Abstract

Topics & Keywords

Publication Details