Proposal of an architecture for emergent control

Carmen A. Carabali, Jose Aguilar, Mariela Cerrada, Danilo Chavez

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

In recent years, there has been an increasing interest in the implementation of distributed systems for monitoring and controlling different parameters. However, a major problem with this kind of systems is the control. One approach that is being explored for the manipulation of large distributed systems is the use of bio-inspired techniques. Some of these techniques allow the emergence of the control of the system from the combination of the interactions of its components. This type of control has been called Emergent Control. This paper proposes a general architecture for the implementation of Emergent Control and presents examples of its utilization for applications in which Emergent Control can be applied.

Original languageEnglish
Title of host publication2017 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2017 - Conference Proceedings
EditorsCarlos Andres Lozano-Garzon
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781538606247
DOIs
StatePublished - 29 Jan 2018
Event2017 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2017 - 2017 International Conference on Innovation and Trends in Engineering, CONIITI 2017 - Bogota, Colombia
Duration: 4 Oct 20176 Oct 2017

Publication series

Name2017 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2017 - Conference Proceedings
Volume2018-January

Conference

Conference2017 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2017 - 2017 International Conference on Innovation and Trends in Engineering, CONIITI 2017
Country/TerritoryColombia
CityBogota
Period4/10/176/10/17

Bibliographical note

Funding Information:
ACKNOWLEDGMENT Dr Aguilar has been partially supported by the Prometeo Project of the Ministry of Higher Education, Science, Technology and Innovation of the Republic of Ecuador.

Publisher Copyright:
© 2017 IEEE.

Keywords

  • Distributed artificial intelligence
  • Distributed Systems
  • Emergence
  • Emergent Control
  • Emergent Systems

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