NEURAL CONTROLLER OF NONLINEAR DYNAMIC-SYSTEMS USING HIGHER-ORDER NEURAL NETWORKS

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dc.contributor.authorLEE, Mko
dc.contributor.authorLee, Soo-Youngko
dc.contributor.authorPark, Cheol Hoonko
dc.date.accessioned2013-02-25T22:02:00Z-
dc.date.available2013-02-25T22:02:00Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued1992-01-
dc.identifier.citationELECTRONICS LETTERS, v.28, no.3, pp.276 - 277-
dc.identifier.issn0013-5194-
dc.identifier.urihttp://hdl.handle.net/10203/65623-
dc.description.abstractHigher order multilayer neural networks are used for identification and control of nonlinear dynamic systems, and their performances is compared with the performance of conventional linear multilayer neural networks. Computer simulation reveals that higher order neural network models are more effective in the control of nonlinear dynamic systems.-
dc.languageEnglish-
dc.publisherIEE-INST ELEC ENG-
dc.titleNEURAL CONTROLLER OF NONLINEAR DYNAMIC-SYSTEMS USING HIGHER-ORDER NEURAL NETWORKS-
dc.typeArticle-
dc.identifier.wosidA1992HC92600039-
dc.identifier.scopusid2-s2.0-0026489770-
dc.type.rimsART-
dc.citation.volume28-
dc.citation.issue3-
dc.citation.beginningpage276-
dc.citation.endingpage277-
dc.citation.publicationnameELECTRONICS LETTERS-
dc.identifier.doi10.1049/el:19920170-
dc.contributor.localauthorLee, Soo-Young-
dc.contributor.localauthorPark, Cheol Hoon-
dc.contributor.nonIdAuthorLEE, M-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorNEURAL NETWORKS-
dc.subject.keywordAuthorNONLINEAR SYSTEMS-
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