Standard

Control theory application to complex technical objects scheduling problem solving. / Sokolov, Boris; Trofimova, Inna; Ivanov, Dmitry; Krylov, Alekcey.

Cybernetics and Mathematics Applications in Intelligent Systems - Proceedings of the 6th Computer Science On-line Conference, CSOC 2017. Том 574 Springer Nature, 2017. стр. 172-179 (Advances in Intelligent Systems and Computing; Том 574).

Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › Рецензирование

Harvard

Sokolov, B, Trofimova, I, Ivanov, D & Krylov, A 2017, Control theory application to complex technical objects scheduling problem solving. в Cybernetics and Mathematics Applications in Intelligent Systems - Proceedings of the 6th Computer Science On-line Conference, CSOC 2017. Том. 574, Advances in Intelligent Systems and Computing, Том. 574, Springer Nature, стр. 172-179, 6th Computer Science On-line Conference, CSOC 2017, Prague, Чехия, 25/04/17. https://doi.org/10.1007/978-3-319-57264-2_17

APA

Sokolov, B., Trofimova, I., Ivanov, D., & Krylov, A. (2017). Control theory application to complex technical objects scheduling problem solving. в Cybernetics and Mathematics Applications in Intelligent Systems - Proceedings of the 6th Computer Science On-line Conference, CSOC 2017 (Том 574, стр. 172-179). (Advances in Intelligent Systems and Computing; Том 574). Springer Nature. https://doi.org/10.1007/978-3-319-57264-2_17

Vancouver

Sokolov B, Trofimova I, Ivanov D, Krylov A. Control theory application to complex technical objects scheduling problem solving. в Cybernetics and Mathematics Applications in Intelligent Systems - Proceedings of the 6th Computer Science On-line Conference, CSOC 2017. Том 574. Springer Nature. 2017. стр. 172-179. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-3-319-57264-2_17

Author

Sokolov, Boris ; Trofimova, Inna ; Ivanov, Dmitry ; Krylov, Alekcey. / Control theory application to complex technical objects scheduling problem solving. Cybernetics and Mathematics Applications in Intelligent Systems - Proceedings of the 6th Computer Science On-line Conference, CSOC 2017. Том 574 Springer Nature, 2017. стр. 172-179 (Advances in Intelligent Systems and Computing).

BibTeX

@inproceedings{6563dcdbc0f041e6b68d9e23e57a22e5,
title = "Control theory application to complex technical objects scheduling problem solving",
abstract = "We present a new model for optimal scheduling of complex technical objects (CTO). CTO is a networked controlled system that is described through differential equations based on a dynamic interpretation of the job execution. The problem is represented as a special case of the job shop scheduling problem with dynamically distributed jobs. The approach is based on a natural dynamic decomposition of the problem and its solution with the help of a modified form of continuous maximum principle blended with combinatorial optimization.",
author = "Boris Sokolov and Inna Trofimova and Dmitry Ivanov and Alekcey Krylov",
year = "2017",
doi = "10.1007/978-3-319-57264-2_17",
language = "English",
isbn = "9783319572635",
volume = "574",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Nature",
pages = "172--179",
booktitle = "Cybernetics and Mathematics Applications in Intelligent Systems - Proceedings of the 6th Computer Science On-line Conference, CSOC 2017",
address = "Germany",
note = "6th Computer Science On-line Conference, CSOC 2017 ; Conference date: 25-04-2017 Through 28-04-2017",

}

RIS

TY - GEN

T1 - Control theory application to complex technical objects scheduling problem solving

AU - Sokolov, Boris

AU - Trofimova, Inna

AU - Ivanov, Dmitry

AU - Krylov, Alekcey

PY - 2017

Y1 - 2017

N2 - We present a new model for optimal scheduling of complex technical objects (CTO). CTO is a networked controlled system that is described through differential equations based on a dynamic interpretation of the job execution. The problem is represented as a special case of the job shop scheduling problem with dynamically distributed jobs. The approach is based on a natural dynamic decomposition of the problem and its solution with the help of a modified form of continuous maximum principle blended with combinatorial optimization.

AB - We present a new model for optimal scheduling of complex technical objects (CTO). CTO is a networked controlled system that is described through differential equations based on a dynamic interpretation of the job execution. The problem is represented as a special case of the job shop scheduling problem with dynamically distributed jobs. The approach is based on a natural dynamic decomposition of the problem and its solution with the help of a modified form of continuous maximum principle blended with combinatorial optimization.

UR - http://www.scopus.com/inward/record.url?scp=85017988971&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-57264-2_17

DO - 10.1007/978-3-319-57264-2_17

M3 - Conference contribution

AN - SCOPUS:85017988971

SN - 9783319572635

VL - 574

T3 - Advances in Intelligent Systems and Computing

SP - 172

EP - 179

BT - Cybernetics and Mathematics Applications in Intelligent Systems - Proceedings of the 6th Computer Science On-line Conference, CSOC 2017

PB - Springer Nature

T2 - 6th Computer Science On-line Conference, CSOC 2017

Y2 - 25 April 2017 through 28 April 2017

ER -

ID: 9177408