Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/24631
Full metadata record
DC FieldValueLanguage
dc.contributor.authorChen, Y-
dc.contributor.authorMeng, X-
dc.contributor.authorWang, Z-
dc.contributor.authorDong, H-
dc.date.accessioned2022-05-25T17:55:45Z-
dc.date.available2022-05-25T17:55:45Z-
dc.date.issued2021-08-31-
dc.identifier.citationChen, Y., Meng, X., Wang, Z. and Dong, H. (2021) 'Event-Triggered Recursive State Estimation for Stochastic Complex Dynamical Networks Under Hybrid Attacks', IEEE Transactions on Neural Networks and Learning Systems, 0, pp. 1 - 13. doi: 10.1109/tnnls.2021.3105409.en_US
dc.identifier.issn2162-237X-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/24631-
dc.description.sponsorshipNational Natural Science Foundation of China (Grant Number: 61973102, 61933007, 61873148 and 61873058); Royal Society of the U.K.; Alexander von Humboldt Foundation of Germany.en_US
dc.format.extent1 - 13-
dc.format.mediumPrint-Electronic-
dc.language.isoen_USen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.rightsCopyright © 2021 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.rights.urihttps://www.ieee.org/publications/rights/rights-policies.html-
dc.subjectstochastic complex dynamical networksen_US
dc.subjectrecursive state estimationen_US
dc.subjecthybrid cyber-attacksen_US
dc.subjectevent-triggered protocolen_US
dc.subjectstochastic boundednessen_US
dc.titleEvent-Triggered Recursive State Estimation for Stochastic Complex Dynamical Networks Under Hybrid Attacksen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1109/tnnls.2021.3105409-
dc.relation.isPartOfIEEE Transactions on Neural Networks and Learning Systems-
pubs.publication-statusPublished-
pubs.volume0-
dc.identifier.eissn2162-2388-
Appears in Collections:Dept of Computer Science Research Papers

Files in This Item:
File Description SizeFormat 
FullText.pdfCopyright © 2021 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.473.33 kBAdobe PDFView/Open


Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.