Process Control Using a Neural Network Combined with the Conventional PID Controller

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dc.contributor.authorLee, Moonyongko
dc.contributor.authorPark, Sunwonko
dc.date.accessioned2013-02-27T22:34:23Z-
dc.date.available2013-02-27T22:34:23Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued2000-
dc.identifier.citation제어.로봇.시스템학회 논문지, v.6, no.6, pp.196 - 200-
dc.identifier.issn1976-5622-
dc.identifier.urihttp://hdl.handle.net/10203/71237-
dc.description.abstractA neural controller for process control is proposed that combines a conventional multi-loop PID controller with a neural network. The concept of target signal based on feedback error is used for on-line learning of the neural network. This controller is applied to distillation column control to illustrate its effectiveness. The result shows that the proposed neural controller can cope well with disturbance, strong interactions, time delays without any prior knowledge of the process.-
dc.languageEnglish-
dc.publisher제어·로봇·시스템학회-
dc.titleProcess Control Using a Neural Network Combined with the Conventional PID Controller-
dc.typeArticle-
dc.type.rimsART-
dc.citation.volume6-
dc.citation.issue6-
dc.citation.beginningpage196-
dc.citation.endingpage200-
dc.citation.publicationname제어.로봇.시스템학회 논문지-
dc.contributor.localauthorPark, Sunwon-
dc.contributor.nonIdAuthorLee, Moonyong-
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CBE-Journal Papers(저널논문)
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