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Conference Paper: A bio-inspired multi-agent control framework

TitleA bio-inspired multi-agent control framework
Authors
KeywordsArtificial intelligence
Intelligent control
Multi agent system
Issue Date2005
PublisherPergamon.
Citation
Ifac Proceedings Volumes (Ifac-Papersonline), 2005, v. 16, p. 1-6 How to Cite?
AbstractThe biological world has often offered inspirations to novel approaches to solving engineering problems. This paper presents an engineering analogy of the human immune system, known as the artificial immune system (AIS) for the strategic control of multi-agent based systems such as fleet of autonomous guided vehicles or a multi-jointed manipulator. The human immune system is a complex, adaptive and highly distributed system that exhibits the behaviors of autonomy, self-organizing, distributivity, fault tolerance, robustness, learning and memory, which is underpinned by a set of theories including the immune discrimination and specificity theories. A distributed control framework is developed based on the conceptual framework of the immune system. The AIS-based multi-agent control paradigm is studied via two key mechanisms in the generalized control hierarchy, namely, detection of events and the activation of control actions. Simulation and experimental study using a fleet of autonomous guided vehicles in a material handling system to illustrate the effectiveness of the proposed framework. Copyright © 2005 IFAC.
Persistent Identifierhttp://hdl.handle.net/10722/100235
ISSN
References

 

DC FieldValueLanguage
dc.contributor.authorLau, HYKen_HK
dc.contributor.authorWong, VWKen_HK
dc.contributor.authorKo, AWYen_HK
dc.date.accessioned2010-09-25T19:02:00Z-
dc.date.available2010-09-25T19:02:00Z-
dc.date.issued2005en_HK
dc.identifier.citationIfac Proceedings Volumes (Ifac-Papersonline), 2005, v. 16, p. 1-6en_HK
dc.identifier.issn1474-6670en_HK
dc.identifier.urihttp://hdl.handle.net/10722/100235-
dc.description.abstractThe biological world has often offered inspirations to novel approaches to solving engineering problems. This paper presents an engineering analogy of the human immune system, known as the artificial immune system (AIS) for the strategic control of multi-agent based systems such as fleet of autonomous guided vehicles or a multi-jointed manipulator. The human immune system is a complex, adaptive and highly distributed system that exhibits the behaviors of autonomy, self-organizing, distributivity, fault tolerance, robustness, learning and memory, which is underpinned by a set of theories including the immune discrimination and specificity theories. A distributed control framework is developed based on the conceptual framework of the immune system. The AIS-based multi-agent control paradigm is studied via two key mechanisms in the generalized control hierarchy, namely, detection of events and the activation of control actions. Simulation and experimental study using a fleet of autonomous guided vehicles in a material handling system to illustrate the effectiveness of the proposed framework. Copyright © 2005 IFAC.en_HK
dc.languageengen_HK
dc.publisherPergamon.-
dc.relation.ispartofIFAC Proceedings Volumes (IFAC-PapersOnline)en_HK
dc.rightsNOTICE: this is the author’s version of a work that was accepted for publication in Triennial World Congress of International Federation of Automatic Control. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Triennial World Congress of International Federation of Automatic Control, [VOL 16, 2005]-
dc.subjectArtificial intelligenceen_HK
dc.subjectIntelligent controlen_HK
dc.subjectMulti agent systemen_HK
dc.titleA bio-inspired multi-agent control frameworken_HK
dc.typeConference_Paperen_HK
dc.identifier.emailLau, HYK:hyklau@hkucc.hku.hken_HK
dc.identifier.emailKo, AWY:albertko@hku.hken_HK
dc.identifier.authorityLau, HYK=rp00137en_HK
dc.identifier.authorityKo, AWY=rp00124en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.scopuseid_2-s2.0-79960717024en_HK
dc.identifier.hkuros107267-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-79960717024&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume16en_HK
dc.identifier.spage1en_HK
dc.identifier.epage6en_HK
dc.publisher.placePrague, Chech-
dc.identifier.scopusauthoridLau, HYK=7201497761en_HK
dc.identifier.scopusauthoridWong, VWK=8314372800en_HK
dc.identifier.scopusauthoridKo, AWY=22334217900en_HK

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