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DC Field | Value | Language |
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dc.contributor.author | Song, W | - |
dc.contributor.author | Wang, Z | - |
dc.contributor.author | Li, Z | - |
dc.contributor.author | Han, Q-L | - |
dc.contributor.author | Yue, D | - |
dc.date.accessioned | 2023-10-17T15:40:31Z | - |
dc.date.available | 2023-10-17T15:40:31Z | - |
dc.date.issued | 2023-08-21 | - |
dc.identifier | ORCID iD: Weihao Song https://orcid.org/0000-0003-3604-3224 | - |
dc.identifier | ORCID iD: Zidong Wang https://orcid.org/0000-0002-9576-7401 | - |
dc.identifier | ORCID iD: Zhongkui Li https://orcid.org/0000-0002-9361-4305 | - |
dc.identifier | ORCID iD: Qing-Long Han https://orcid.org/0000-0002-7207-0716 | - |
dc.identifier | ORCID iD: Dong Yue https://orcid.org/0000-0001-7810-9338 | - |
dc.identifier.citation | Song, W. et al. (2023) 'Maximum Correntropy Filtering for Complex Networks With Uncertain Dynamical Bias: Enabling Componentwise Event-Triggered Transmission', IEEE Transactions on Neural Networks and Learning Systems, 2023, 0 (early access), pp. 1 - 14. doi: 10.1109/tnnls.2023.3302190. | en_US |
dc.identifier.issn | 2162-237X | - |
dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/27403 | - |
dc.description.sponsorship | 10.13039/501100001809-National Natural Science Foundation of China (Grant Number: 62203016, U2241214, T2121002 and 61933007);; 10.13039/501100002858-China Postdoctoral Science Foundation (Grant Number: 2021TQ0009); Royal Society, U (Grant Number: 0000DONOTUSETHIS0000.K); Alexander von Humboldt Foundation of Germany. | en_US |
dc.format.extent | 1 - 14 | - |
dc.format.medium | Print-Electronic | - |
dc.language | English | - |
dc.language.iso | en_US | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_US |
dc.rights | Copyright © 2023 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 by sending a request to pubs-permissions@ieee.org. See: https://www.ieee.org/publications/rights/rights-policies.html | - |
dc.rights.uri | https://www.ieee.org/publications/rights/rights-policies.html | - |
dc.subject | complex networks | en_US |
dc.subject | dynamic event-triggered protocol | en_US |
dc.subject | dynamical bias | en_US |
dc.subject | maximum correntropy filtering (MCF) | en_US |
dc.subject | non-Gaussian noises | en_US |
dc.title | Maximum Correntropy Filtering for Complex Networks With Uncertain Dynamical Bias: Enabling Componentwise Event-Triggered Transmission | en_US |
dc.type | Article | en_US |
dc.identifier.doi | https://doi.org/10.1109/tnnls.2023.3302190 | - |
dc.relation.isPartOf | IEEE Transactions on Neural Networks and Learning Systems | - |
pubs.issue | early access | - |
pubs.publication-status | Published | - |
pubs.volume | 0 | - |
dc.identifier.eissn | 2162-2388 | - |
dc.rights.holder | Institute of Electrical and Electronics Engineers (IEEE) | - |
Appears in Collections: | Dept of Computer Science Research Papers |
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FullText.pdf | Copyright © 2023 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 by sending a request to pubs-permissions@ieee.org. See: https://www.ieee.org/publications/rights/rights-policies.html | 775.96 kB | Adobe PDF | View/Open |
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