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Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/23477
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dc.contributor.authorLiu, H-
dc.contributor.authorWang, Z-
dc.contributor.authorFei, W-
dc.contributor.authorLi, J-
dc.contributor.authorAlsaadi, FE-
dc.date.accessioned2021-11-09T16:05:22Z-
dc.date.available2021-11-09T16:05:22Z-
dc.date.issued2020-11-13-
dc.identifier.citationLiu, 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.issn0020-0255-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/23477-
dc.description.sponsorshipKing 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.extent280 - 292-
dc.format.mediumPrint-Electronic-
dc.language.isoen_USen_US
dc.publisherElsevier BVen_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.subjectmemristive neural networksen_US
dc.subjectH<inf>∞</inf> state estimationen_US
dc.subjectfinite-horizon estimationen_US
dc.subjectstochastic communication protocolen_US
dc.titleOn finite-horizon H<inf>∞</inf> state estimation for discrete-time delayed memristive neural networks under stochastic communication protocolen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1016/j.ins.2020.11.002-
dc.relation.isPartOfInformation Sciences-
pubs.publication-statusPublished-
pubs.volume555-
dc.identifier.eissn1872-6291-
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