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Fuzzy horizon group shift FIR filtering for nonlinear systems with Takagi-Sugeno model

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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.description.abstractAbstract not available.
dc.description.statementofresponsibilityJung Min Pak, Choon Ki Ahn, Chang Joo Lee, Peng Shi, Myo Taeg Lim, Moon Kyou Song
dc.identifier.citationNeurocomputing, 2016; 174:1013-1020
dc.identifier.doi10.1016/j.neucom.2015.10.029
dc.identifier.issn0925-2312
dc.identifier.issn1872-8286
dc.identifier.orcidShi, P. [0000-0001-6295-0405] [0000-0001-8218-586X] [0000-0002-0864-552X] [0000-0002-1358-2367] [0000-0002-5312-5435]
dc.identifier.urihttp://hdl.handle.net/2440/99017
dc.language.isoen
dc.publisherElsevier
dc.rights© 2015 Elsevier B.V. All rights reserved.
dc.source.urihttps://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
pubs.publication-statusPublished

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