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

Ishanu Chattopadhyay; Asok Ray

doi:10.1109/ACC.2009.5160372

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

Ishanu Chattopadhyay
, Asok Ray

Producción científica: Conference contribution › revisión exhaustiva

2 Citas (Scopus)

Resumen

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.

Idioma original	English
Título de la publicación alojada	2009 American Control Conference, ACC 2009
Páginas	2922-2927
Número de páginas	6
DOI	https://doi.org/10.1109/ACC.2009.5160372
Estado	Published - 2009
Evento	2009 American Control Conference, ACC 2009 - St. Louis, MO, United States Duración: jun 10 2009 → jun 12 2009

Serie de la publicación

Nombre	Proceedings of the American Control Conference
ISSN (versión impresa)	0743-1619

Conference

Conference	2009 American Control Conference, ACC 2009
País/Territorio	United States
Ciudad	St. Louis, MO
Período	6/10/09 → 6/12/09

ASJC Scopus subject areas

Electrical and Electronic Engineering

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10.1109/ACC.2009.5160372

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title = "Supervised self-organization of large homogeneous swarms using ergodic projections of markov chains",

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.",

author = "Ishanu Chattopadhyay and Asok Ray",

year = "2009",

doi = "10.1109/ACC.2009.5160372",

language = "English",

isbn = "9781424445240",

series = "Proceedings of the American Control Conference",

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booktitle = "2009 American Control Conference, ACC 2009",

note = "2009 American Control Conference, ACC 2009 ; Conference date: 10-06-2009 Through 12-06-2009",

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Chattopadhyay, I & Ray, A 2009, Supervised self-organization of large homogeneous swarms using ergodic projections of markov chains. En 2009 American Control Conference, ACC 2009., 5160372, Proceedings of the American Control Conference, pp. 2922-2927, 2009 American Control Conference, ACC 2009, St. Louis, MO, United States, 6/10/09. https://doi.org/10.1109/ACC.2009.5160372

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AU - Chattopadhyay, Ishanu

AU - Ray, Asok

PY - 2009

Y1 - 2009

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AB - 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.

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DO - 10.1109/ACC.2009.5160372

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AN - SCOPUS:70449622908

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BT - 2009 American Control Conference, ACC 2009

T2 - 2009 American Control Conference, ACC 2009

Y2 - 10 June 2009 through 12 June 2009

ER -

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

Resumen

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