Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/80270
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dc.contributorDepartment of Computing-
dc.creatorLiu, M-
dc.creatorLi, S-
dc.creatorLi, XD-
dc.creatorJin, L-
dc.creatorYi, CF-
dc.creatorHuang, ZG-
dc.date.accessioned2019-01-30T09:14:34Z-
dc.date.available2019-01-30T09:14:34Z-
dc.identifier.issn1076-2787-
dc.identifier.urihttp://hdl.handle.net/10397/80270-
dc.language.isoenen_US
dc.publisherHindawien_US
dc.rightsCopyright © 2018 Mei Liu et al. This is an open access article distributed under the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.en_US
dc.rightsThe following publication Liu, M., Li, S., Li, X.D., Jin, L., Yi, C.F., & Huang, Z.G. (2018). Intelligent controllers for multirobot competitive and dynamic tracking. Complexity, 4573631, 1-12 is available at https://dx.doi.org/10.1155/2018/4573631en_US
dc.titleIntelligent controllers for multirobot competitive and dynamic trackingen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage1-
dc.identifier.epage12-
dc.identifier.doi10.1155/2018/4573631-
dcterms.abstractThis paper focuses on the problem of target tracking using k fittest robots in a group of n mobile robots with n > k. We present centralized and distributed coordination models with all-to-all and limited communications, respectively. For the case of all-to-all communication between robots, theoretical analysis is presented to prove the exponential stability of the whole system. In real applications of robotic networks, a robot may only be allowed to exchange information with a limited number of neighbors. In such a limited communication case where centralized quantity is not available, a consensus filter is used to estimate the centralized quantities in a distributed way, and a distributed competitive target tracking is thus achieved. The stability of the distributed control is also proved in theory. Finally, illustrative examples are provided and analyzed to substantiate the efficacy of the proposed models for tracking moving target in a competition manner with all-to-all communications and limited communications.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationComplexity, 2018, 4573631, p. 1-12-
dcterms.isPartOfComplexity-
dcterms.issued2018-
dc.identifier.isiWOS:000449228600001-
dc.identifier.scopus2-s2.0-85056287313-
dc.identifier.eissn1099-0526-
dc.identifier.artn4573631-
dc.description.validate201901 bcrc-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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