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Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/99017
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dc.contributor.authorPak, J.-
dc.contributor.authorAhn, C.-
dc.contributor.authorLee, C.-
dc.contributor.authorShi, P.-
dc.contributor.authorLim, M.-
dc.contributor.authorSong, M.-
dc.date.issued2016-
dc.identifier.citationNeurocomputing, 2016; 174:1013-1020-
dc.identifier.issn0925-2312-
dc.identifier.issn1872-8286-
dc.identifier.urihttp://hdl.handle.net/2440/99017-
dc.description.abstractAbstract not available.-
dc.description.statementofresponsibilityJung Min Pak, Choon Ki Ahn, Chang Joo Lee, Peng Shi, Myo Taeg Lim, Moon Kyou Song-
dc.language.isoen-
dc.publisherElsevier-
dc.rights© 2015 Elsevier B.V. All rights reserved.-
dc.source.urihttp://dx.doi.org/10.1016/j.neucom.2015.10.029-
dc.subjectTakagi–Sugeno (T-S) fuzzy model; finite impulse response (FIR) filter; horizon group shift; (HGS); state estimation; nonlinear systems-
dc.titleFuzzy horizon group shift FIR filtering for nonlinear systems with Takagi-Sugeno model-
dc.typeJournal article-
dc.identifier.doi10.1016/j.neucom.2015.10.029-
pubs.publication-statusPublished-
dc.identifier.orcidShi, P. [0000-0001-8218-586X]-
Appears in Collections:Aurora harvest 7
Electrical and Electronic Engineering publications

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