Comments on "A Training Rule Which Guarantees Finite-Region Stability for a class of Closed Loop Neural-Network Control System"

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dc.contributor.authorPark, Sko
dc.contributor.authorPark, Cheol Hoonko
dc.date.accessioned2013-02-27T16:09:33Z-
dc.date.available2013-02-27T16:09:33Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued1997-09-
dc.identifier.citationIEEE TRANSACTIONS ON NEURAL NETWORKS, v.8, no.5, pp.1217 - 1217-
dc.identifier.issn1045-9227-
dc.identifier.urihttp://hdl.handle.net/10203/69518-
dc.description.abstractIn this letter, we show that the proof of Proposition 1 and the proposed stability condition as training constraints are not correct and therefore that the stability of the neural-network control system is not quite right. We suggest a modified version of the proposition with its proof and comment on another problem of the paper.-
dc.languageEnglish-
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC-
dc.titleComments on "A Training Rule Which Guarantees Finite-Region Stability for a class of Closed Loop Neural-Network Control System"-
dc.typeArticle-
dc.identifier.wosidA1997XT98500027-
dc.identifier.scopusid2-s2.0-0031238389-
dc.type.rimsART-
dc.citation.volume8-
dc.citation.issue5-
dc.citation.beginningpage1217-
dc.citation.endingpage1217-
dc.citation.publicationnameIEEE TRANSACTIONS ON NEURAL NETWORKS-
dc.contributor.localauthorPark, Cheol Hoon-
dc.contributor.nonIdAuthorPark, S-
dc.type.journalArticleLetter-
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