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http://bura.brunel.ac.uk/handle/2438/23454| Title: | Nonfragile H<inf>∞</inf>State Estimation for Recurrent Neural Networks with Time-Varying Delays: On Proportional-Integral Observer Design |
| Authors: | Zhao, D Wang, Z Wei, G Liu, X |
| Keywords: | H∞ performance;nonfragile state estimation;proportional–integral observer (PIO);randomly occurring gain variations (ROGVs);recurrent neural networks (RNNs);time-varying delays (TVDs) |
| Issue Date: | 19-Aug-2020 |
| Publisher: | IEEE |
| 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. |
| URI: | https://bura.brunel.ac.uk/handle/2438/23454 |
| DOI: | https://doi.org/10.1109/TNNLS.2020.3015376 |
| ISSN: | 2162-237X |
| Appears in Collections: | Dept of Computer Science Research Papers |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | 639 kB | Adobe PDF | View/Open |
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