Article ID: | iaor20123052 |
Volume: | 73 |
Issue: | 3 |
Start Page Number: | 575 |
End Page Number: | 581 |
Publication Date: | Mar 2012 |
Journal: | Automation and Remote Control |
Authors: | Olshanskii A |
Keywords: | control, networks, neural networks |
The paper discusses the methodology of designing an adaptive supervisory control system for railway freight terminals which are the sources of origination and dying of freight traffic. The setting of the mentioned problem of adaptive control and solution to it with the application of mathematical tools of automatic control and neural networks are presented; and the fundamental supervisory control algorithm as a set of sequentially operated blocks, each of them executing one main task, is also described. The proposed methodology can be applied to management of operation of freight terminals located both at the stations of JSCo ‘Russian Railways’ and logistics centers and stations belonged to other railway infrastructure owners.