Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/53650
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dc.contributorDepartment of Electronic and Information Engineering-
dc.creatorGanganath, N-
dc.creatorCheng, CT-
dc.creatorTse, CK-
dc.creatorWang, X-
dc.date.accessioned2016-06-27T01:58:37Z-
dc.date.available2016-06-27T01:58:37Z-
dc.identifier.issn0271-4302-
dc.identifier.urihttp://hdl.handle.net/10397/53650-
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.rights© 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en_US
dc.rightsThe following publication Ganganath, N., Cheng, C. -., Tse, C. K., & Wang, X. (2015). Cluster-based informed agents selection for flocking with a virtual leader. Paper presented at the Proceedings - IEEE International Symposium on Circuits and Systems, ISCAS 2015, 2692-2695 is available at 10.1109/ISCAS.2015.7169241en_US
dc.subjectFlockingen_US
dc.subjectDistributed controlen_US
dc.subjectInformed agentsen_US
dc.subjectVirtual leaderen_US
dc.subjectClustersen_US
dc.titleCluster-based informed agents selection for flocking with a virtual leaderen_US
dc.typeConference Paperen_US
dc.identifier.spage2692-
dc.identifier.epage2695-
dc.identifier.doi10.1109/ISCAS.2015.7169241-
dcterms.abstractRecent literature on flocking in multi-agent systems show that a minority of informed agents in a group of dynamic agents can influence a majority to follow a virtual leader. However, it is not reported how to select these informed agents from the group in order to increase the number of agents which will eventually follow the virtual leader. In this paper, we propose a cluster-based informed agents selection method to achieve this objective. The proposed method enables us to select informed agents such that they are spatially evenly distributed within the group of agents. We carried out extensive simulations to analyze performances of the proposed method against the traditional random-based informed agents selection method. Simulation results show that the proposed method can increase the number of agents which eventually follow the virtual leader for a given number of informed agents. Therefore, the proposed cluster-based informed agents selection method is useful for leading the majority of a group with less number of informed agents.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitation2015 IEEE International Symposium on Circuits and Systems (ISCAS), Lisbon, Portugal, 24-27 May 2015, p. 2692-2695-
dcterms.issued2015-
dc.identifier.scopus2-s2.0-84946203619-
dc.relation.conferenceIEEE International Symposium on Circuits and Systems [ISCAS]-
dc.identifier.rosgroupid2014001361-
dc.description.ros2014-2015 > Academic research: refereed > Refereed conference paper-
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumbera0020-n07en_US
dc.description.pubStatusPublisheden_US
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