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Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/23902
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dc.contributor.authorAlsaadi, FE-
dc.contributor.authorWang, Z-
dc.contributor.authorLuo, Y-
dc.contributor.authorAlharbi, NS-
dc.contributor.authorAlsaade, FW-
dc.date.accessioned2022-01-07T18:14:39Z-
dc.date.available2022-01-07T18:14:39Z-
dc.date.issued2021-02-15-
dc.identifierORCID iDs: Fuad E. Alsaadi https://orcid.org/0000-0001-6420-3948; Zidong Wang https://orcid.org/0000-0002-9576-7401; Yuqiang Luo https://orcid.org/0000-0002-5567-8025.-
dc.identifier.citationAlsaadi, F.E., Wang, Z., Luo, Y., Alharbi, N.S. and Alsaade, F.W. (2021) 'H∞ State Estimation for BAM Neural Networks With Binary Mode Switching and Distributed Leakage Delays Under Periodic Scheduling Protocol', IEEE Transactions on Neural Networks and Learning Systems, 33 (9), pp. 4160 - 4172. doi: 10.1109/TNNLS.2021.3055942.en_US
dc.identifier.issn2162-237X-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/23902-
dc.description.sponsorshipResearch and Development Office, Ministry of Education, Kingdom of Saudi Arabia (Grant Number: HIQI-2-2019); 10.13039/501100001809-National Natural Science Foundation of China (Grant Number: 61903254).en_US
dc.format.extent4160 - 4172-
dc.format.mediumPrint-Electronic-
dc.language.isoen_USen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.rightsCopyright © 2021 Institute of Electrical and Electronics Engineers (IEEE). Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works by sending a request to pubs-permissions@ieee.org. For more information, see https://www.ieee.org/publications/rights/rights-policies.html-
dc.rights.urihttps://www.ieee.org/publications/rights/rights-policies.html-
dc.subjectartificial neural networksen_US
dc.subjectbidirectional associative memory neural networksen_US
dc.subjectH∞ state estimationen_US
dc.subjectdistributed leakage delaysen_US
dc.subjectperiodic scheduling protocolen_US
dc.titleH∞ State Estimation for BAM Neural Networks With Binary Mode Switching and Distributed Leakage Delays Under Periodic Scheduling Protocolen_US
dc.title.alternativeH∞ State Estimation for BAM Neural Networks With Binary Mode Switching and Distributed Leakage Delays Under Periodic Scheduling Protocolen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1109/TNNLS.2021.3055942-
dc.relation.isPartOfIEEE Transactions on Neural Networks and Learning Systems-
pubs.issue9-
pubs.publication-statusPublished-
pubs.volume33-
dc.identifier.eissn2162-2388-
dc.rights.holderInstitute of Electrical and Electronics Engineers (IEEE)-
Appears in Collections:Dept of Computer Science Research Papers

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