Please use this identifier to cite or link to this item: http://earchive.tpu.ru/handle/11683/32674
Title: Parametric Identification of Control Systems Using Artificial Neural Networks
Authors: Zakamaldin, Andrey
Andyk, Vladimir Sergeevich
Keywords: параметрическая идентификация; системы управления; искусственные нейронные сети; нейронные сети
Issue Date: 2015
Publisher: [s. n.]
Citation: Zakamaldin A. A. Parametric Identification of Control Systems Using Artificial Neural Networks / A. A. Zakamaldin, V. S. Andyk // MATEC Web of Conferences. — 2015. — Vol. 37 : Smart Grids 2015 : September 28 - October 2, 2015, Tomsk, Russia : [proceedings]. — [01064, 4 p.].
Abstract: For the problem of parametric identification of control objects proposed a method based on the use of artificial neural network feedforward type a perceptron. This method allows us to estimate the parameters of the mathematical model of the system with a maximum error of 2.8% and significantly reduce the time of the identification procedure.
URI: http://earchive.tpu.ru/handle/11683/32674
Appears in Collections:Материалы конференций

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