Train Bi-Control Problem on Riemannian Setting
This article refers to the optimization of the energy consumption of guided traction rails, such as those used for electric trains (including subway electric units), railcars, locomotives, and trams, in a Riemannian framework. The proposed optimization strategy takes into account the compliance time...
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MDPI AG
2021
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oai:doaj.org-article:307b57ad806e4840864a00ad7e21d9142021-11-25T18:16:58ZTrain Bi-Control Problem on Riemannian Setting10.3390/math92228982227-7390https://doaj.org/article/307b57ad806e4840864a00ad7e21d9142021-11-01T00:00:00Zhttps://www.mdpi.com/2227-7390/9/22/2898https://doaj.org/toc/2227-7390This article refers to the optimization of the energy consumption of guided traction rails, such as those used for electric trains (including subway electric units), railcars, locomotives, and trams, in a Riemannian framework. The proposed optimization strategy takes into account the compliance time drive and aims at improving the transport system for given operation conditions. Our study has five targets: (1) improving the optimal control techniques; (2) establishing a strategy for the operating conditions of the vehicle; (3) formulating and solving additional problems of optimal movement; (4) improving automatic systems for vehicle traction to optimize energy consumption in a Riemannian context; (5) formulating and solving a problem of maximizing the profit of the train. Some significant figures and formulas obtained by Maple procedures clarify the problems.Gabriel PopaConstantin UdristeIonel TevyMDPI AGarticleoptimal control involving ODEstrain optimal bi-controladjoint variablesspeed profileMathematicsQA1-939ENMathematics, Vol 9, Iss 2898, p 2898 (2021) |
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DOAJ |
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optimal control involving ODEs train optimal bi-control adjoint variables speed profile Mathematics QA1-939 |
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optimal control involving ODEs train optimal bi-control adjoint variables speed profile Mathematics QA1-939 Gabriel Popa Constantin Udriste Ionel Tevy Train Bi-Control Problem on Riemannian Setting |
description |
This article refers to the optimization of the energy consumption of guided traction rails, such as those used for electric trains (including subway electric units), railcars, locomotives, and trams, in a Riemannian framework. The proposed optimization strategy takes into account the compliance time drive and aims at improving the transport system for given operation conditions. Our study has five targets: (1) improving the optimal control techniques; (2) establishing a strategy for the operating conditions of the vehicle; (3) formulating and solving additional problems of optimal movement; (4) improving automatic systems for vehicle traction to optimize energy consumption in a Riemannian context; (5) formulating and solving a problem of maximizing the profit of the train. Some significant figures and formulas obtained by Maple procedures clarify the problems. |
format |
article |
author |
Gabriel Popa Constantin Udriste Ionel Tevy |
author_facet |
Gabriel Popa Constantin Udriste Ionel Tevy |
author_sort |
Gabriel Popa |
title |
Train Bi-Control Problem on Riemannian Setting |
title_short |
Train Bi-Control Problem on Riemannian Setting |
title_full |
Train Bi-Control Problem on Riemannian Setting |
title_fullStr |
Train Bi-Control Problem on Riemannian Setting |
title_full_unstemmed |
Train Bi-Control Problem on Riemannian Setting |
title_sort |
train bi-control problem on riemannian setting |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/307b57ad806e4840864a00ad7e21d914 |
work_keys_str_mv |
AT gabrielpopa trainbicontrolproblemonriemanniansetting AT constantinudriste trainbicontrolproblemonriemanniansetting AT ioneltevy trainbicontrolproblemonriemanniansetting |
_version_ |
1718411371857575936 |