Research Article
Train Operation Control on-based of Logical-Linguistic Model
@ARTICLE{10.4108/eai.13-7-2018.156388, author={K.I. Yurenko and P.A. Kharchenko and E.I. Fandeev and I.K. Yurenko}, title={Train Operation Control on-based of Logical-Linguistic Model}, journal={EAI Endorsed Transactions on Energy Web}, volume={6}, number={22}, publisher={EAI}, journal_a={EW}, year={2019}, month={1}, keywords={on-board control system, suburban electric trains, passenger train, fuzzy logic, logical-linguistic simulation, computing experiment, autodriver}, doi={10.4108/eai.13-7-2018.156388} }
- K.I. Yurenko
P.A. Kharchenko
E.I. Fandeev
I.K. Yurenko
Year: 2019
Train Operation Control on-based of Logical-Linguistic Model
EW
EAI
DOI: 10.4108/eai.13-7-2018.156388
Abstract
The article presents a new approach to control of train movement based on a combination of terminal (finite) and fuzzy control methods using a logical-linguistic model whose numerical parameters are determined on the basis of search optimization and simulation modeling. The results of computational experiments are presented and given recommendations to the application and further development of the proposed approach. In particular, the proposed logicallinguistic model can be used in the construction of on-board systems of suburban electric trains.
Copyright © 2019 K.I. Yurenko et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.