Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/23494
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dc.contributor.authorSu, T-
dc.contributor.authorWang, Z-
dc.contributor.authorZou, L-
dc.contributor.authorAlsaadi, FE-
dc.date.accessioned2021-11-13T10:00:57Z-
dc.date.available2021-11-13T10:00:57Z-
dc.date.issued2020-12-20-
dc.identifier.citationSu, T., Wang, Z., Zou, L. and Alsaadi, F.E. (2021) 'Maximum-correntropy-based Kalman filtering for time-varying systems with randomly occurring uncertainties: An event-triggered approach', International Journal of Robust and Nonlinear Control, 31 (5), pp. 1582 - 1599. doi: 10.1002/rnc.5368.en_US
dc.identifier.issn1049-8923-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/23494-
dc.description.sponsorshipAlexander von Humboldt Foundation of Germany; Deanship of Scientific Research, King Abdulaziz University. Grant Number: FP-22-42; National Natural Science Foundation of China. Grant Number: 61903009, 61873148, 61933007, 61703245; Postdoctoral Special Innovation Foundation of of Shandong province of China. Grant Number: 201701015; Royal Society of the UK.en_US
dc.format.extent1582 - 1599-
dc.format.mediumPrint-Electronic-
dc.language.isoen_USen_US
dc.publisherJohn Wiley and Sons on behalf of International Federation of Automatic Control (IFAC)en_US
dc.rightsThis is the peer reviewed version of the following article: Maximum-correntropy-based Kalman filtering for time-varying systems with randomly occurring uncertainties: An event-triggered approach, which has been published in final form at https://doi.org/10.1002/rnc.5368. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.-
dc.subjectevent-triggered mechanismen_US
dc.subjectKalman filteren_US
dc.subjectmaximum correntropy criterionen_US
dc.subjectnon-Gaussian noiseen_US
dc.subjectrandomly occurring uncertaintiesen_US
dc.titleMaximum-correntropy-based Kalman filtering for time-varying systems with randomly occurring uncertainties: An event-triggered approachen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1002/rnc.5368-
dc.relation.isPartOfInternational Journal of Robust and Nonlinear Control-
pubs.issue5-
pubs.publication-statusPublished-
pubs.volume31-
dc.identifier.eissn1099-1239-
Appears in Collections:Dept of Computer Science Research Papers

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