Application of neural network regulator in cascade systems of regulation

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dc.contributor.authorKlimenko, Julia
dc.contributor.authorBaliuta, Serhii
dc.date.accessioned2015-06-23T07:16:42Z
dc.date.available2015-06-23T07:16:42Z
dc.date.issued2013
dc.description.abstractThe purpose of research is scientific substantiation of the possibility and expediency of using of neural regulator in cascade systems. The object of research is cascade ACS. Multiplanimetric automatic control systems are used to improve the quality of regulation processes. Researches were performed for the most common class of cascade ACS - cascade-connected and also were performed simulations of neural controller. Methods of research included the use of advanced software on the basis of the package MatLab. Results of the research - comparative evaluation of cascade-connected ACS with and without the use of neural regulator.uk_UA
dc.identifier.citationKlymenko, J. Application of neural network regulator in cascade systems of regulation / Julia Klymenko, Sergei Baluta // Ukrainian food journal. – 2013. - Vol. 2, Is. 1 – С. 111-115.uk_UA
dc.identifier.urihttps://dspace.nuft.edu.ua/handle/123456789/21359
dc.subjectneural controlleruk_UA
dc.subjectautomatic controluk_UA
dc.subjectкафедра електропостачання і енергоменеджментуuk_UA
dc.subjectавтоматичний контрольuk_UA
dc.subjectнейронний контролерuk_UA
dc.titleApplication of neural network regulator in cascade systems of regulationuk_UA
dc.typeArticleuk_UA

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