Train Operation Control on-based of Logical-Linguistic Model

Journal Title: EAI Endorsed Transactions on Energy Web - Year 2019, Vol 6, Issue 22

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.

Authors and Affiliations

K. I. Yurenko, P. A. Kharchenko, E. I. Fandeev, I. K. Yurenko

Keywords

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  • EP ID EP45422
  • DOI http://dx.doi.org/10.4108/eai.13-7-2018.156388
  • Views 229
  • Downloads 0

How To Cite

K. I. Yurenko, P. A. Kharchenko, E. I. Fandeev, I. K. Yurenko (2019). Train Operation Control on-based of Logical-Linguistic Model. EAI Endorsed Transactions on Energy Web, 6(22), -. https://www.europub.co.uk/articles/-A-45422