Please use this identifier to cite or link to this item: http://er.nau.edu.ua/handle/NAU/18510
Title: An Algorithm of Setting the Weights of a Neural Network Controller
Authors: Kucherov, D.P.
Dikhtyarenko, V.N.
Kozub, A.N.
Keywords: control system, synthesis algorithm, neural network, switching element
Issue Date: Feb-2016
Series/Report no.: ;doi: 10.12720/joace.4.1.1-7
Abstract: The paper considers a novel method of setting a neural networks controller that takes part in the control of a dynamic plant with unknown parameters. The uncertainties are usually overcome by using sliding mode for controller with a switching input signal. Consequently, as a result the obtained system not sufficiently reliable by reason of high frequency switching control signal and long processing time. To remove this deficiency, the paper considers the neural network controller that is set by means of its learning based on the results of the latest testing. The characteristic feature of the algorithm is its ability to fix the faulty control situations introduced into the learning algorithm, thus giving it the properties of self-learning. The suggested algorithm provides the control quasi-optimality on time and accuracy in controlling a dynamic object. Finally, numerical examples are presented to demonstrate system efficiency for developed method 
Description: This paper is about synthesis quasi-optimal control system in uncertain conditions with neural network as regulator.
URI: http://er.nau.edu.ua/handle/NAU/18510
ISSN: 2301-3702
Appears in Collections:Наукові статті кафедри КСУ

Files in This Item:
File Description SizeFormat 
JOCE_Kuch.pdfОсновной документ1.68 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.