Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/21702
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dc.contributor.authorWang, L-
dc.contributor.authorWang, Z-
dc.contributor.authorHan, QL-
dc.contributor.authorWei, G-
dc.date.accessioned2020-10-25T20:33:53Z-
dc.date.available2017-03-06-
dc.date.available2020-10-25T20:33:53Z-
dc.date.issued2017-03-06-
dc.identifier.citationWang, L., Wang, Z., Han, Q. and Wei,G. (2018) 'Event-Based Variance-Constrained ${\mathcal {H}}_{\infty }$ Filtering for Stochastic Parameter Systems Over Sensor Networks With Successive Missing Measurements,' IEEE Transactions on Cybernetics, 48(3), pp. 1007-1017. doi: 10.1109/TCYB.2017.2671032.en_US
dc.identifier.issn2168-2267-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/21702-
dc.description.sponsorship10.13039/501100000288-Royal Society of the U.K.; 10.13039/501100001809-National Natural Science Foundation of China; 10.13039/501100008139-Hujiang Foundation of China; Program for Capability Construction of Shanghai Provincial Universities; 10.13039/100005156-Alexander von Humboldt Foundation of Germany;-
dc.format.extent1007 - 1017-
dc.format.mediumPrint-Electronic-
dc.languageEnglish-
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.rights© 2017 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.subjectdistributed H∞ filteringen_US
dc.subjectevent-triggered mechanismen_US
dc.subjectrandom parameter matricesen_US
dc.subjectrecursive matrix inequalitiesen_US
dc.subjectsuccessive missing measurementsen_US
dc.subjecterror variance constraintsen_US
dc.titleEvent-Based Variance-Constrained H<inf>∞</inf>Filtering for Stochastic Parameter Systems over Sensor Networks with Successive Missing Measurementsen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1109/TCYB.2017.2671032-
dc.relation.isPartOfIEEE Transactions on Cybernetics-
pubs.issue3-
pubs.publication-statusPublished-
pubs.volume48-
dc.identifier.eissn2168-2275-
Appears in Collections:Dept of Computer Science Research Papers

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