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http://bura.brunel.ac.uk/handle/2438/24641Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Wang, F | - |
| dc.contributor.author | Wang, Z | - |
| dc.contributor.author | Liang, J | - |
| dc.contributor.author | Yang, J | - |
| dc.date.accessioned | 2022-05-30T12:52:50Z | - |
| dc.date.available | 2022-05-30T12:52:50Z | - |
| dc.date.issued | 2020-05-21 | - |
| dc.identifier.citation | Wang, F., Wang, Z., Liang, J. and Yang, J. (2022) 'Locally Minimum-Variance Filtering of 2-D Systems over Sensor Networks with Measurement Degradations: A Distributed Recursive Algorithm', IEEE Transactions on Cybernetics, 52 (2), pp. 996 - 1008. doi: 10.1109/TCYB.2020.2989207. | en_US |
| dc.identifier.issn | 2168-2267 | - |
| dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/24641 | - |
| dc.description.sponsorship | 10.13039/501100012166-National Key Research and Development Program of China (Grant Number: 2018AAA0100202); 10.13039/501100001809-National Natural Science Foundation of China (Grant Number: 61673110, 61873148, 61933007, 61903082 and 61973080); 10.13039/501100002858-China Postdoctoral Science Foundation (Grant Number: 2018M640443); Jiangsu Planned Projects for Postdoctoral Research Funds of China (Grant Number: 2019K192); 10.13039/100005156-Alexander von Humboldt Foundation of Germany | en_US |
| dc.format.extent | 996 - 1008 | - |
| dc.format.medium | Print-Electronic | - |
| dc.language.iso | en_US | en_US |
| dc.publisher | IEEE | en_US |
| dc.rights | Copyright © 2020 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.uri | https://www.ieee.org/publications/rights/rights-policies.html | - |
| dc.subject | 2-D systems | en_US |
| dc.subject | measurement degradations | en_US |
| dc.subject | random couplings | en_US |
| dc.subject | recursive distributed filtering | en_US |
| dc.subject | sensor networks | en_US |
| dc.title | Locally Minimum-Variance Filtering of 2-D Systems over Sensor Networks with Measurement Degradations: A Distributed Recursive Algorithm | en_US |
| dc.type | Article | en_US |
| dc.identifier.doi | https://doi.org/10.1109/TCYB.2020.2989207 | - |
| dc.relation.isPartOf | IEEE Transactions on Cybernetics | - |
| pubs.issue | 2 | - |
| pubs.publication-status | Published | - |
| pubs.volume | 52 | - |
| dc.identifier.eissn | 2168-2275 | - |
| Appears in Collections: | Dept of Computer Science Research Papers | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | Copyright © 2020 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. | 1.04 MB | Adobe PDF | View/Open |
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