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http://bura.brunel.ac.uk/handle/2438/23528Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Yang, H | - |
| dc.contributor.author | Wang, Z | - |
| dc.contributor.author | Shen, Y | - |
| dc.contributor.author | Alsaadi, FE | - |
| dc.contributor.author | Alsaadi, FE | - |
| dc.date.accessioned | 2021-11-15T17:27:46Z | - |
| dc.date.available | 2021-11-15T17:27:46Z | - |
| dc.date.issued | 2020-10-28 | - |
| dc.identifier.citation | Yang, H., Wang, Z., Shen, Y., Alsaadi, F.E. and Alsaadi, F.E. (2021) 'Event-triggered state estimation for Markovian jumping neural networks: On mode-dependent delays and uncertain transition probabilities', Neurocomputing, 424, pp. 226-235. doi: https://doi.org/10.1016/j.neucom.2020.10.050. | en_US |
| dc.identifier.issn | 0925-2312 | - |
| dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/23528 | - |
| dc.description.sponsorship | Engineering and Physical Sciences Research Council (EPSRC) of the UK; Royal Society of the UK; Alexander von Humboldt Foundation of Germany. | en_US |
| dc.format.extent | 226 - 235 | - |
| dc.format.medium | Print-Electronic | - |
| dc.language.iso | en_US | en_US |
| dc.publisher | Elsevier BV | en_US |
| dc.rights | © 2020 Elsevier Ltd. All rights reserved. This is the accepted manuscript version of an article which has been published in final form at https://doi.org/10.1016/j.neucom.2020.10.050 | - |
| dc.subject | artificial neural networks | en_US |
| dc.subject | Markovian jumping parameters | en_US |
| dc.subject | uncertain transition probabilities | en_US |
| dc.subject | event-triggered mechanism | en_US |
| dc.subject | mode-dependent time-delays | en_US |
| dc.title | Event-triggered state estimation for Markovian jumping neural networks: On mode-dependent delays and uncertain transition probabilities | en_US |
| dc.type | Article | en_US |
| dc.identifier.doi | https://doi.org/10.1016/j.neucom.2020.10.050 | - |
| dc.relation.isPartOf | Neurocomputing | - |
| pubs.publication-status | Published | - |
| pubs.volume | 424 | - |
| dc.identifier.eissn | 1872-8286 | - |
| Appears in Collections: | Dept of Computer Science Embargoed Research Papers | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | Embargoed until 28 October 2022 | 208.47 kB | Adobe PDF | View/Open |
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