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DC Field | Value | Language |
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dc.contributor.author | Liu, H | - |
dc.contributor.author | Wang, Z | - |
dc.contributor.author | Fei, W | - |
dc.contributor.author | Li, J | - |
dc.contributor.author | Alsaadi, FE | - |
dc.date.accessioned | 2021-11-09T16:05:22Z | - |
dc.date.available | 2021-11-09T16:05:22Z | - |
dc.date.issued | 2020-11-13 | - |
dc.identifier.citation | Liu, H., Wangt, Z., Fei, W., Li, J. and Alsaadi, F.E. (2020) 'On finite-horizon H<inf>∞</inf> state estimation for discrete-time delayed memristive neural networks under stochastic communication protocol', Information Sciences, 555, pp. 280 - 292. doi: 10.1016/j.ins.2020.11.002. | en_US |
dc.identifier.issn | 0020-0255 | - |
dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/23477 | - |
dc.description.sponsorship | King Abdulaziz University, Jeddah, Saudi Arabia grant no. (FP-25-42); National Natural Science Foundation of China under Grants 61933007 and 61873148; Heilongjiang Province Postdoctoral Science Foundation of China under Grant LBH-Z19048; Natural Science Foundation of Universities in Anhui Province of China under Grants gxyqZD2019053 and KJ2019A0160; AHPU Youth Top-Notch Talent Support Program; Key Laboratory of Advanced Perception and Intelligent Control of High-end Equipment of Ministry of Education in Anhui Polytechnic University of China under Grants GDSC202014 and GDSC202016; Royal Society of the UK; Alexander von Humboldt Foundation of Germany. | en_US |
dc.format.extent | 280 - 292 | - |
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.ins.2020.11.002 | - |
dc.subject | memristive neural networks | en_US |
dc.subject | H<inf>∞</inf> state estimation | en_US |
dc.subject | finite-horizon estimation | en_US |
dc.subject | stochastic communication protocol | en_US |
dc.title | On finite-horizon H<inf>∞</inf> state estimation for discrete-time delayed memristive neural networks under stochastic communication protocol | en_US |
dc.type | Article | en_US |
dc.identifier.doi | https://doi.org/10.1016/j.ins.2020.11.002 | - |
dc.relation.isPartOf | Information Sciences | - |
pubs.publication-status | Published | - |
pubs.volume | 555 | - |
dc.identifier.eissn | 1872-6291 | - |
Appears in Collections: | Dept of Computer Science Embargoed Research Papers |
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FullText.pdf | Embargoed until 13 Nov 2022 | 355.06 kB | Adobe PDF | View/Open |
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