Application of neural network regulator in cascade systems of regulation

Ескіз

Дата

2013

ORCID

DOI

item.page.thesis.degree.name

item.page.thesis.degree.level

item.page.thesis.degree.discipline

item.page.thesis.degree.department

item.page.thesis.degree.grantor

item.page.thesis.degree.advisor

item.page.thesis.degree.committeeMember

Назва журналу

Номер ISSN

Назва тому

Видавець

Анотація

The 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.

Опис

Ключові слова

neural controller, automatic control, кафедра електропостачання і енергоменеджменту, автоматичний контроль, нейронний контролер

Бібліографічний опис

Klymenko, 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.

Колекції

item.page.endorsement

item.page.review

item.page.supplemented

item.page.referenced