MATEC Web of Conferences
Volume 37, 2015Smart Grids 2015
|Number of page(s)||4|
|Section||Investigation of Power Engineering Processes|
|Published online||22 December 2015|
Parametric Identification of Control Systems Using Artificial Neural Networks
National Research Tomsk Polytechnic University, 634050 Tomsk, Russia
a Corresponding author : email@example.com
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.
© Owned by the authors, published by EDP Sciences, 2015
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.