Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/32446
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dc.contributor.authorZhao, Z-
dc.contributor.authorWang, Z-
dc.contributor.authorLiang, J-
dc.contributor.authorQiu, J-
dc.date.accessioned2025-12-04T15:17:40Z-
dc.date.available2025-12-04T15:17:40Z-
dc.date.issued2025-10-03-
dc.identifierORCiD: Zidong Wang https://orcid.org/0000-0002-9576-7401-
dc.identifierORCiD: Jinling Liang https://orcid.org/0000-0001-6910-7285-
dc.identifierORCiD: Jianlong Qiu https://orcid.org/0000-0002-9886-3570-
dc.identifier.citationZhao, Z. et al. (2025) 'Distributed Polynomial Set-Membership Fusion Estimation for Target Tracking Systems Under a Binary Encoding Scheme', IEEE Transactions on Industrial Informatics, 0 (early access), pp. 1 - 11. doi: 10.1109/TII.2025.3610212.en_US
dc.identifier.issn1551-3203-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/32446-
dc.description.abstractIn this article, a distributed polynomial set-membership fusion estimation approach is proposed for target tracking systems under a binary encoding scheme. Each distance measurement of the considered target is encoded via a binary encoding scheme to facilitate digital transmission. Based on the decoding signals, local estimators are designed by employing a polynomial set-membership estimation method. Furthermore, the effects of possible flipping bits occurring during the transmissions from the distance sensors to the local estimators are considered, and a detection scheme for flipping bits is presented by utilizing the obtained local estimation results. Subsequently, an optimal matrix-weighted distributed fusion estimator is developed in theen_US
dc.description.sponsorship10.13039/501100001809-National Natural Science Foundation of China (Grant Number: 61933007, 62373103, 62573219 and 62403130); Jiangsu Provincial Scientific Research Center of Applied Mathematics (Grant Number: BK20233002); Natural Science Foundation of Jiangsu Province of China (Grant Number: BK20241286); Jiangsu Funding Program for Excellent Postdoctoral Talent of China (Grant Number: 2024ZB601); China Postdoctoral Science Foundation-CCTEG Joint Support Program (Grant Number: 2025T055ZGMK); Royal Society of the U.K.; Alexander von Humboldt Foundation of Germany.en_US
dc.format.extent1 - 11-
dc.format.mediumPrint-Electronic-
dc.languageEnlgish-
dc.language.isoen_USen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.rightsCopyright © 2025 Institute of Electrical and Electronics Engineers (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 ( https://journals.ieeeauthorcenter.ieee.org/become-an-ieee-journal-author/publishing-ethics/guidelines-and-policies/post-publication-policies/ ).-
dc.rights.urihttps://journals.ieeeauthorcenter.ieee.org/become-an-ieee-journal-author/publishing-ethics/guidelines-and-policies/post-publication-policies/-
dc.subjectbinary encoding schemeen_US
dc.subjectdistributed fusionen_US
dc.subjectpolynomial estimationen_US
dc.subjectset-membership estimationen_US
dc.subjecttarget trackingen_US
dc.titleDistributed Polynomial Set-Membership Fusion Estimation for Target Tracking Systems Under a Binary Encoding Schemeen_US
dc.typeArticleen_US
dc.date.dateAccepted2025-09-06-
dc.identifier.doihttps://doi.org/10.1109/TII.2025.3610212-
dc.relation.isPartOfIEEE Transactions on Industrial Informatics-
pubs.issue0-
pubs.publication-statusPublished-
pubs.volume00-
dc.identifier.eissn1941-0050-
dcterms.dateAccepted2025-09-06-
dc.rights.holderInstitute of Electrical and Electronics Engineers (IEEE)-
Appears in Collections:Dept of Computer Science Research Papers

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