Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/23482
Full metadata record
DC FieldValueLanguage
dc.contributor.authorWang, M-
dc.contributor.authorWang, Z-
dc.contributor.authorDong, H-
dc.contributor.authorHan, QL-
dc.date.accessioned2021-11-09T17:37:55Z-
dc.date.available2021-11-09T17:37:55Z-
dc.date.issued2020-05-18-
dc.identifier.citationWang, M., Wang, Z., Dong, H. and Han, Q.-L. (2021) 'A Novel Framework for Backstepping-Based Control of Discrete-Time Strict-Feedback Nonlinear Systems with Multiplicative Noises'. IEEE Transactions on Automatic Control, 66 (4), pp. 1484 - 1496. doi: 10.1109/TAC.2020.2995576.en_US
dc.identifier.issn0018-9286-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/23482-
dc.description.sponsorship10.13039/501100001809-National Natural Science Foundation of China (Grant Number: 61773169, 61873058, 61873148, 61933007 and 61973129); 10.13039/501100003453-Natural Science Foundation of Guangdong Province (Grant Number: 2019B151502058); Fundamental Research for the Central Universities of China; 10.13039/501100000288-Royal Society; Alexander von Humboldt Foundation of Germany.en_US
dc.format.extent1484 - 1496-
dc.format.mediumPrint-Electronic-
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.rights© 2020 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.-
dc.subjectadaptive controlen_US
dc.subjectbackstepping-based controlen_US
dc.subjectdiscrete-time strict-feedback systemsen_US
dc.subjectmultiplicative noisesen_US
dc.subjectneural networks (NNs)en_US
dc.subjectnonlinear systemsen_US
dc.titleA Novel Framework for Backstepping-Based Control of Discrete-Time Strict-Feedback Nonlinear Systems with Multiplicative Noisesen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1109/TAC.2020.2995576-
dc.relation.isPartOfIEEE Transactions on Automatic Control-
pubs.issue4-
pubs.publication-statusPublished-
pubs.volume66-
dc.identifier.eissn1558-2523-
Appears in Collections:Dept of Computer Science Research Papers

Files in This Item:
File Description SizeFormat 
FullText.pdf© 2020 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.769.79 kBAdobe PDFView/Open


Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.