Identification of control systems for ore-processing industry aggregates based on nonparametric kernel estimators

Please use this identifier to cite or link to this item: http://ds.knu.edu.ua/jspui/handle/123456789/2270

Title:	Identification of control systems for ore-processing industry aggregates based on nonparametric kernel estimators
Authors:	Morkun, Volodymyr Моркун, Володимир Станіславович Моркун, Владимир Станиславович Morkun, Natalia Моркун, Наталя Володимирівна Моркун, Наталья Владимировна Tron, Vitalii Тронь, Віталій Валерійович Тронь, Виталий Валерьевич
Keywords:	automation nonparametric identification ore-dressing
Issue Date:	2015
Publisher:	ТОВ «Укрметалурінформ «Науково-технічне агентство»
Citation:	Morkun V. Identification of control systems for ore-processing industry aggregates based on nonparametric kernel estimators / V. Morkun, N. Morkun, V. Tron // Metallurgical and Mining Industry. – 2015. – No 1. – P. 14–17. – References: p. 17.
Abstract:	The study results of nonparametric kernel estimator methods for solving the control systems identification problems of concentrating production technological aggregates in conditions of characteristics instability of the raw material, which is fed to processing, are presented.
URI:	http://ds.knu.edu.ua/jspui/handle/123456789/2270
ISSN:	2076-0507 (Print) 2078-8312 (Online)
Appears in Collections:	Кафедра автоматизації, комп'ютерних наук і технологій Наукові статті

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