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DC Field | Value | Language |
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dc.contributor.author | Zhao, D | - |
dc.contributor.author | Wang, Z | - |
dc.contributor.author | Wei, G | - |
dc.contributor.author | Liu, X | - |
dc.date.accessioned | 2021-11-08T13:00:52Z | - |
dc.date.available | 2021-11-08T13:00:52Z | - |
dc.date.issued | 2020-08-19 | - |
dc.identifier.citation | Zhao, D., Wang, Z., Wei, G. and Liu, X. (2021) 'Nonfragile H<inf>∞</inf>State Estimation for Recurrent Neural Networks with Time-Varying Delays: On Proportional-Integral Observer Design', IEEE Transactions on Neural Networks and Learning Systems, 2021, 32 (8), pp. 3553 - 3565. doi: 10.1109/TNNLS.2020.3015376. | en_US |
dc.identifier.issn | 2162-237X | - |
dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/23454 | - |
dc.description.sponsorship | 10.13039/501100001809-National Natural Science Foundation of China (Grant Number: 61933007, 61873148 and 61873169); 10.13039/501100000288-Royal Society of the U.K.; 10.13039/100005156-Alexander von Humboldt Foundation of Germany. | en_US |
dc.format.extent | 3553 - 3565 | - |
dc.format.medium | Print-Electronic | - |
dc.language.iso | en_US | en_US |
dc.publisher | IEEE | en_US |
dc.subject | H∞ performance | en_US |
dc.subject | nonfragile state estimation | en_US |
dc.subject | proportional–integral observer (PIO) | en_US |
dc.subject | randomly occurring gain variations (ROGVs) | en_US |
dc.subject | recurrent neural networks (RNNs) | en_US |
dc.subject | time-varying delays (TVDs) | en_US |
dc.title | Nonfragile H<inf>∞</inf>State Estimation for Recurrent Neural Networks with Time-Varying Delays: On Proportional-Integral Observer Design | en_US |
dc.type | Article | en_US |
dc.identifier.doi | https://doi.org/10.1109/TNNLS.2020.3015376 | - |
dc.relation.isPartOf | IEEE Transactions on Neural Networks and Learning Systems | - |
pubs.issue | 8 | - |
pubs.publication-status | Published | - |
pubs.volume | 32 | - |
dc.identifier.eissn | 2162-2388 | - |
Appears in Collections: | Dept of Computer Science Research Papers |
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FullText.pdf | 639 kB | Adobe PDF | View/Open |
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