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 |
Files in This Item:
File | Description | Size | Format | |
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dx.doi.org-10.1051-matecconf-20153701064.pdf | 132,52 kB | Adobe PDF | View/Open |
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