Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/23495
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dc.contributor.authorHan, F-
dc.contributor.authorWang, Z-
dc.contributor.authorDong, H-
dc.contributor.authorLiu, H-
dc.date.accessioned2021-11-13T10:33:48Z-
dc.date.available2021-11-13T10:33:48Z-
dc.date.issued2019-04-12-
dc.identifier.citationHan, F., Wang, Z., Dong, H. and Liu, H. (2021) 'Partial-Nodes-Based Scalable H∞-Consensus Filtering With Censored Measurements Over Sensor Networks', IEEE Transactions on Systems, Man, and Cybernetics: Systems, 51 (3), pp. 1892 - 1903, doi: 10.1109/TSMC.2019.2907649.en_US
dc.identifier.issn2168-2216-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/23495-
dc.description.sponsorship10.13039/501100001809-National Natural Science Foundation of China (Grant Number: 61873148 and 61873058); 10.13039/501100002858-China Post-Doctoral Science Foundation (Grant Number: 2017M621242); 10.13039/501100005154-PetroChina Innovation Foundation (Grant Number: 2018D-5007-0302); Fundamental Research Funds for Undergraduate Universities affiliated to Heilongjiang Province (Grant Number: 2018QNL-05); 10.13039/501100005046-Natural Science Foundation of Heilongjiang Province of China (Grant Number: F2018005).en_US
dc.format.extent1892 - 1903-
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.rights© 2019 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.-
dc.subjectcensored measurementsen_US
dc.subjectdistributed filteringen_US
dc.subjectH<inf>∞</inf>-consensusen_US
dc.subjectmultiplicative noisesen_US
dc.subjectpartial-nodes-based measurementsen_US
dc.titlePartial-Nodes-Based Scalable H<inf>∞</inf>-Consensus Filtering with Censored Measurements over Sensor Networksen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1109/TSMC.2019.2907649-
dc.relation.isPartOfIEEE Transactions on Systems, Man, and Cybernetics: Systems-
pubs.issue3-
pubs.publication-statusPublished-
pubs.volume51-
dc.identifier.eissn2168-2232-
Appears in Collections:Dept of Computer Science Research Papers

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