Supervised self-organization of large homogeneous swarms using ergodic projections of markov chains

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2 Scopus citations

Abstract

This paper formulates a self-organization algorithm to addresses the problem of emergent behavior supervision in engineered swarms of arbitrary population size. Based on collections of independent identical finitestate agents, the algorithm is derived to compute necessary perturbations in the local agents' behavior, which guarantees convergence to the desired observed state of the swarm. A simulation example illustrates the underlying concept.

Original languageEnglish
Title of host publication2009 American Control Conference, ACC 2009
Pages2922-2927
Number of pages6
DOIs
StatePublished - 2009
Event2009 American Control Conference, ACC 2009 - St. Louis, MO, United States
Duration: Jun 10 2009Jun 12 2009

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619

Conference

Conference2009 American Control Conference, ACC 2009
Country/TerritoryUnited States
CitySt. Louis, MO
Period6/10/096/12/09

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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