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http://bura.brunel.ac.uk/handle/2438/23476Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Li, J | - |
| dc.contributor.author | Wang, Z | - |
| dc.contributor.author | Dong, H | - |
| dc.contributor.author | Ghinea, G | - |
| dc.date.accessioned | 2021-11-09T15:43:24Z | - |
| dc.date.available | 2021-11-09T15:43:24Z | - |
| dc.date.issued | 2020-05-18 | - |
| dc.identifier.citation | Li, J., Wang, Z., Dong, H. and Ghinea, G. (2021) 'Outlier-Resistant Remote State Estimation for Recurrent Neural Networks with Mixed Time-Delays', IEEE Transactions on Neural Networks and Learning Systems, 2021, 32 (5), pp. 2266 - 2273. doi: 10.1109/TNNLS.2020.2991151. | en_US |
| dc.identifier.issn | 2162-237X | - |
| dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/23476 | - |
| dc.description.sponsorship | 10.13039/501100001809-National Natural Science Foundation of China (Grant Number: 61933007, 61873148 and 61873058); 10.13039/501100005046-Natural Science Foundation of Heilongjiang Province of China (Grant Number: ZD2019F001); Key Laboratory of Advanced Perception and Intelligent Control of High-End Equipment of Ministry of Education in Anhui Polytechnic University of China (Grant Number: GDSC202016); 10.13039/100005156-Alexander von Humboldt Foundation of Germany. | en_US |
| dc.format.extent | 2266 - 2273 | - |
| dc.format.medium | Print-Electronic | - |
| dc.language.iso | en_US | en_US |
| dc.publisher | IEEE | en_US |
| dc.rights | © 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.subject | recurrent neural networks (RNNs) | en_US |
| dc.subject | outlier-resistant state estimation (SE) | en_US |
| dc.subject | H∞ performance constraint | en_US |
| dc.subject | measurement outliers | en_US |
| dc.subject | mixed time-delays | en_US |
| dc.title | Outlier-Resistant Remote State Estimation for Recurrent Neural Networks with Mixed Time-Delays | en_US |
| dc.type | Article | en_US |
| dc.identifier.doi | https://doi.org/10.1109/TNNLS.2020.2991151 | - |
| dc.relation.isPartOf | IEEE Transactions on Neural Networks and Learning Systems | - |
| pubs.issue | 5 | - |
| pubs.publication-status | Published | - |
| pubs.volume | 32 | - |
| dc.identifier.eissn | 2162-2388 | - |
| Appears in Collections: | Dept of Computer Science Research Papers | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | © 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. | 458.5 kB | Adobe PDF | View/Open |
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