Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.jprocont.2005.03.006
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dc.titleA noniterative neuro-fuzzy based identification method for Hammerstein processes
dc.contributor.authorJia, L.
dc.contributor.authorChiu, M.-S.
dc.contributor.authorGe, S.S.
dc.date.accessioned2014-04-24T07:19:10Z
dc.date.available2014-04-24T07:19:10Z
dc.date.issued2005-10
dc.identifier.citationJia, L., Chiu, M.-S., Ge, S.S. (2005-10). A noniterative neuro-fuzzy based identification method for Hammerstein processes. Journal of Process Control 15 (7) : 749-761. ScholarBank@NUS Repository. https://doi.org/10.1016/j.jprocont.2005.03.006
dc.identifier.issn09591524
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/50847
dc.description.abstractIn this paper, a noniterative identification procedure for neuro-fuzzy based Hammerstein model is presented. The proposed method not only avoids the inevitable restrictions on static nonlinear function encountered by using the polynomial approach, but also overcomes the problems of initialization and convergence of the model parameters, which are usually resorted to trial and error procedure in the existing iterative algorithms used for the identification of Hammerstein model. To construct the neuro-fuzzy based model, a clustering algorithm is presented to estimate the centers and widths of the model, and an analytical solution is developed to calculate the weights of the model in a noniterative manner. Examples are used to illustrate the applicability of the proposed method and a comparison with polynomial approach is made. © 2005 Elsevier Ltd. All rights reserved.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/j.jprocont.2005.03.006
dc.sourceScopus
dc.subjectHammerstein model
dc.subjectNeuro-fuzzy system
dc.subjectNoniterative identification
dc.subjectNonlinear processes
dc.typeArticle
dc.contributor.departmentCHEMICAL & BIOMOLECULAR ENGINEERING
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1016/j.jprocont.2005.03.006
dc.description.sourcetitleJournal of Process Control
dc.description.volume15
dc.description.issue7
dc.description.page749-761
dc.description.codenJPCOE
dc.identifier.isiut000230885200002
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