Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/24632Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Zhu, K | - |
| dc.contributor.author | Wang, Z | - |
| dc.contributor.author | Chen, Y | - |
| dc.contributor.author | Wei, G | - |
| dc.date.accessioned | 2022-05-26T17:03:25Z | - |
| dc.date.available | 2022-05-26T17:03:25Z | - |
| dc.date.issued | 2021-08-12 | - |
| dc.identifier.citation | Zhu, K., Wang, Z., Chen, Y. and Wei, G. (2021) 'Neural-Network-Based Set-Membership Fault Estimation for 2-D Systems Under Encoding-Decoding Mechanism', IEEE Transactions on Neural Networks and Learning Systems, 0 (in press), pp. 1 - 13. doi 10.1109/tnnls.2021.3102127. | en_US |
| dc.identifier.issn | 2162-237X | - |
| dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/24632 | - |
| dc.description.sponsorship | National Natural Science Foundation of China (Grant Number: 61873148, 61873169, 61933007 and 61973102); Royal Society of the U.K.; Alexander von Humboldt Foundation of Germany. | en_US |
| dc.format.extent | 1 - 13 | - |
| dc.format.medium | Print-Electronic | - |
| dc.language.iso | en_US | en_US |
| dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_US |
| dc.rights | Copyright © 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.uri | https://www.ieee.org/publications/rights/rights-policies.html | - |
| dc.subject | 2-D systems | en_US |
| dc.subject | encoding-decoding mechanism (EDM) | en_US |
| dc.subject | fault estimation | en_US |
| dc.subject | neural networks (NNs) | en_US |
| dc.subject | set-membership estimation (SME) | en_US |
| dc.title | Neural-Network-Based Set-Membership Fault Estimation for 2-D Systems Under Encoding-Decoding Mechanism | en_US |
| dc.type | Article | en_US |
| dc.identifier.doi | https://doi.org/10.1109/tnnls.2021.3102127 | - |
| dc.relation.isPartOf | IEEE Transactions on Neural Networks and Learning Systems | - |
| pubs.publication-status | Published | - |
| dc.identifier.eissn | 2162-2388 | - |
| Appears in Collections: | Dept of Computer Science Research Papers | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | Copyright © 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. | 745.28 kB | Adobe PDF | View/Open |
Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.