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Article: An AIS-based optimal control framework for longevity and task achievement of multi-robot systems

TitleAn AIS-based optimal control framework for longevity and task achievement of multi-robot systems
Authors
KeywordsAIS
Multi-Agent system
Multi-Robot system
Longevity
Achievement optimization
Issue Date2012
PublisherAmerican Institute of Mathematical Sciences. The Journal's web site is located at http://aimsciences.org/journals/home.jsp?journalID=22
Citation
Numerical Algebra, Control and Optimization, 2012, v. 2 n. 1, p. 45-56 How to Cite?
AbstractExtending the longevity of autonomous agent system in real life application is a difficult task, especially in applications which require continuous high system performance. This paper presents a novel decentralized balancing controlling architecture for longevity and achievement in multi-agent robot systems based on several artificial immune systems (AIS) designs and principles. Simulation experiments have verified the proposed architecture has good capability to efficiently minimize the trade-off in system achievement while maintaining system sustainability, even in very demanding situations.
Persistent Identifierhttp://hdl.handle.net/10722/139301
ISSN
2015 SCImago Journal Rankings: 0.469

 

DC FieldValueLanguage
dc.contributor.authorChan, RCMen_US
dc.contributor.authorLau, HYKen_US
dc.date.accessioned2011-09-23T05:48:09Z-
dc.date.available2011-09-23T05:48:09Z-
dc.date.issued2012en_US
dc.identifier.citationNumerical Algebra, Control and Optimization, 2012, v. 2 n. 1, p. 45-56en_US
dc.identifier.issn2155-3289-
dc.identifier.urihttp://hdl.handle.net/10722/139301-
dc.description.abstractExtending the longevity of autonomous agent system in real life application is a difficult task, especially in applications which require continuous high system performance. This paper presents a novel decentralized balancing controlling architecture for longevity and achievement in multi-agent robot systems based on several artificial immune systems (AIS) designs and principles. Simulation experiments have verified the proposed architecture has good capability to efficiently minimize the trade-off in system achievement while maintaining system sustainability, even in very demanding situations.-
dc.languageengen_US
dc.publisherAmerican Institute of Mathematical Sciences. The Journal's web site is located at http://aimsciences.org/journals/home.jsp?journalID=22-
dc.relation.ispartofNumerical Algebra, Control and Optimizationen_US
dc.rightsNumerical Algebra, Control and Optimization. Copyright © American Institute of Mathematical Sciences.-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectAIS-
dc.subjectMulti-Agent system-
dc.subjectMulti-Robot system-
dc.subjectLongevity-
dc.subjectAchievement optimization-
dc.titleAn AIS-based optimal control framework for longevity and task achievement of multi-robot systemsen_US
dc.typeArticleen_US
dc.identifier.emailChan, RCM: rcmc@hku.hken_US
dc.identifier.emailLau, HYK: hyklau@hkucc.hku.hk-
dc.identifier.authorityLau, HYK=rp00137en_US
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.3934/naco.2012.2.45-
dc.identifier.hkuros196092en_US
dc.identifier.volume2-
dc.identifier.issue1-
dc.identifier.spage45-
dc.identifier.epage56-
dc.publisher.placeUnited States-

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