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Conference Paper: An Immunity inspired Real-time cooperative control framework for networked multi-agent systems

TitleAn Immunity inspired Real-time cooperative control framework for networked multi-agent systems
Authors
KeywordsArtificial Immune Systems
Networked Multi-agent Systems
Cooperative Control
RoboFlag Drill
Issue Date2009
PublisherSpringer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/
Citation
The 8th International Conference on Artificial Immune Systems (ICARIS 2009), York, UK., 9-12 August 2009. In Lecture Notes In Computer Science, 2009, v. 5666, p. 234-247 How to Cite?
AbstractThis paper presents a cooperative control framework developed based on the inspiration from the immune system for controlling networked multi-agent systems. The framework is inspired from the meta-dynamics of lymphocyte repertoires in the adaptive immune system, including the continual circulation, continual turnover, concentration control and other relevant mechanisms. We design this framework for the control of a team of autonomous defending agents in RoboFlag Drill, a test-bed for studying cooperative systems. Simulation results are presented to demonstrate the effectiveness of the proposed immunity inspired cooperative control framework. The results of the simulations demonstrated that a set of defenders- can intercept attacker sets with larger set sizes from entering a specific Defense Zone for 60% of the randomly generated RoboFlag Drill problem instances.
DescriptionLNCS v. 5666 entitled: Artificial Immune Systems: 8th International Conference, ICARIS 2009, York, UK, August 9-12, 2009. Proceedings
Persistent Identifierhttp://hdl.handle.net/10722/100049
ISBN
ISSN
2023 SCImago Journal Rankings: 0.606
References

 

DC FieldValueLanguage
dc.contributor.authorLu, Yen_HK
dc.contributor.authorLau, HYKen_HK
dc.date.accessioned2010-09-25T18:54:49Z-
dc.date.available2010-09-25T18:54:49Z-
dc.date.issued2009en_HK
dc.identifier.citationThe 8th International Conference on Artificial Immune Systems (ICARIS 2009), York, UK., 9-12 August 2009. In Lecture Notes In Computer Science, 2009, v. 5666, p. 234-247-
dc.identifier.isbn978-3-642-03245-5-
dc.identifier.issn0302-9743-
dc.identifier.urihttp://hdl.handle.net/10722/100049-
dc.descriptionLNCS v. 5666 entitled: Artificial Immune Systems: 8th International Conference, ICARIS 2009, York, UK, August 9-12, 2009. Proceedings-
dc.description.abstractThis paper presents a cooperative control framework developed based on the inspiration from the immune system for controlling networked multi-agent systems. The framework is inspired from the meta-dynamics of lymphocyte repertoires in the adaptive immune system, including the continual circulation, continual turnover, concentration control and other relevant mechanisms. We design this framework for the control of a team of autonomous defending agents in RoboFlag Drill, a test-bed for studying cooperative systems. Simulation results are presented to demonstrate the effectiveness of the proposed immunity inspired cooperative control framework. The results of the simulations demonstrated that a set of defenders- can intercept attacker sets with larger set sizes from entering a specific Defense Zone for 60% of the randomly generated RoboFlag Drill problem instances.-
dc.languageengen_HK
dc.publisherSpringer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/-
dc.relation.ispartofLecture Notes In Computer Scienceen_HK
dc.subjectArtificial Immune Systems-
dc.subjectNetworked Multi-agent Systems-
dc.subjectCooperative Control-
dc.subjectRoboFlag Drill-
dc.titleAn Immunity inspired Real-time cooperative control framework for networked multi-agent systemsen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailLau, HYK: hyklau@hkucc.hku.hken_HK
dc.identifier.authorityLau, HYK=rp00137en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/978-3-642-03246-2_23-
dc.identifier.scopuseid_2-s2.0-70350335357-
dc.identifier.hkuros160521en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-70350335357&selection=ref&src=s&origin=recordpage-
dc.identifier.volume5666-
dc.identifier.spage234-
dc.identifier.epage247-
dc.publisher.placeGermany-
dc.identifier.scopusauthoridLu, SYP=55017179600-
dc.identifier.scopusauthoridLau, HYK=7201497761-
dc.customcontrol.immutablesml 160106 - merged-
dc.identifier.issnl0302-9743-

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