Adaptive control of the ore crushing process in cone crushers based on nonlinear predictive model

Please use this identifier to cite or link to this item: http://ds.knu.edu.ua/jspui/handle/123456789/4271

Title:	Adaptive control of the ore crushing process in cone crushers based on nonlinear predictive model
Authors:	Mykhailenko, Oleksii Щокін, Вадим Петрович Щокин, Вадим Петрович Shchokin, Vadym Щокіна, Ольга Василівна Щокина, Ольга Васильевна Shchokina, Olha
Keywords:	dynamic models orthonormal functions
Issue Date:	2018
Publisher:	Universitas Publishing
Citation:	Mykhailenko O. Adaptive control of the ore crushing process in cone crushers based on nonlinear predictive model / O. Mykhailenko, V. Shchokin, O. Shchokina // Topical issues of resource-saving technologies in mineral mining and processing : multi-authored monograph. – Petrosani, Romania, 2018. – P. 39–64. – Ref.: p. 62–64.
Abstract:	The paper deals with the development adaptive control system of the ore crushing process based on nonlinear block-oriented dynamic models. It is define that the best dynamic approximation quality according to the minimum coefficient of variation of the root-mean-square error and identification time are provided by applying a hybrid structure that combines the Wiener model, the Hammerstein-Wiener model and the Laguerre orthonormal functions.
URI:	http://ds.knu.edu.ua/jspui/handle/123456789/4271
ISBN:	978-973-741-585-1
Appears in Collections:	Наукові статті

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