Standard

On Optimal Control of Pollution Emissions : An Example of the Largest Industrial Enterprises of Irkutsk Oblast. / Tur, A. V.; Gromova, E. V.

In: Automation and Remote Control, Vol. 81, No. 3, 01.03.2020, p. 548-565.

Research output: Contribution to journal › Article › peer-review

Harvard

Tur, AV & Gromova, EV 2020, 'On Optimal Control of Pollution Emissions: An Example of the Largest Industrial Enterprises of Irkutsk Oblast', Automation and Remote Control, vol. 81, no. 3, pp. 548-565. https://doi.org/10.1134/S000511792003011X

APA

Tur, A. V., & Gromova, E. V. (2020). On Optimal Control of Pollution Emissions: An Example of the Largest Industrial Enterprises of Irkutsk Oblast. Automation and Remote Control, 81(3), 548-565. https://doi.org/10.1134/S000511792003011X

Vancouver

Tur AV, Gromova EV. On Optimal Control of Pollution Emissions: An Example of the Largest Industrial Enterprises of Irkutsk Oblast. Automation and Remote Control. 2020 Mar 1;81(3):548-565. https://doi.org/10.1134/S000511792003011X

Author

Tur, A. V. ; Gromova, E. V. / On Optimal Control of Pollution Emissions : An Example of the Largest Industrial Enterprises of Irkutsk Oblast. In: Automation and Remote Control. 2020 ; Vol. 81, No. 3. pp. 548-565.

BibTeX

@article{6f926183cb124eba9824c61e38442bda,
title = "On Optimal Control of Pollution Emissions: An Example of the Largest Industrial Enterprises of Irkutsk Oblast",
abstract = "A differential game of pollution control is considered. The duration of this game is a random variable defined by the instant of the first failure of industrial equipment for any of the players. The game parameters are calculated on the basis of real environmental conditions of Irkutsk oblast. The three largest industrial enterprises of Bratsk, where one of the most acute ecological situation in Russia is observed, are chosen as players. A solution that will improve the general ecological situation in the oblast is proposed.",
keywords = "cooperative differential games, ecology, imputation distribution procedure, pollution control, random horizon, time consistency",
author = "Tur, {A. V.} and Gromova, {E. V.}",
year = "2020",
month = mar,
day = "1",
doi = "10.1134/S000511792003011X",
language = "English",
volume = "81",
pages = "548--565",
journal = "Automation and Remote Control",
issn = "0005-1179",
publisher = "МАИК {"}Наука/Интерпериодика{"}",
number = "3",

}

RIS

TY - JOUR

T1 - On Optimal Control of Pollution Emissions

T2 - An Example of the Largest Industrial Enterprises of Irkutsk Oblast

AU - Tur, A. V.

AU - Gromova, E. V.

PY - 2020/3/1

Y1 - 2020/3/1

N2 - A differential game of pollution control is considered. The duration of this game is a random variable defined by the instant of the first failure of industrial equipment for any of the players. The game parameters are calculated on the basis of real environmental conditions of Irkutsk oblast. The three largest industrial enterprises of Bratsk, where one of the most acute ecological situation in Russia is observed, are chosen as players. A solution that will improve the general ecological situation in the oblast is proposed.

AB - A differential game of pollution control is considered. The duration of this game is a random variable defined by the instant of the first failure of industrial equipment for any of the players. The game parameters are calculated on the basis of real environmental conditions of Irkutsk oblast. The three largest industrial enterprises of Bratsk, where one of the most acute ecological situation in Russia is observed, are chosen as players. A solution that will improve the general ecological situation in the oblast is proposed.

KW - cooperative differential games

KW - ecology

KW - imputation distribution procedure

KW - pollution control

KW - random horizon

KW - time consistency

UR - http://www.scopus.com/inward/record.url?scp=85082756259&partnerID=8YFLogxK

U2 - 10.1134/S000511792003011X

DO - 10.1134/S000511792003011X

M3 - Article

AN - SCOPUS:85082756259

VL - 81

SP - 548

EP - 565

JO - Automation and Remote Control

JF - Automation and Remote Control

SN - 0005-1179

IS - 3

ER -

ID: 60818537