Standard

Differential Game Model Applied in Low-Carbon Chain with Continuous Updating. / Wang, Zeyang; Yao, Fanjun; Petrosian, Ovanes; Gao, Hongwei.

Frontiers of Dynamic Games. Springer Nature, 2021. p. 279-296 (Trends in Mathematics).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Harvard

Wang, Z, Yao, F, Petrosian, O & Gao, H 2021, Differential Game Model Applied in Low-Carbon Chain with Continuous Updating. in Frontiers of Dynamic Games. Trends in Mathematics, Springer Nature, pp. 279-296, International Conference on Game Theory and Management, Санкт-Петербург , Russian Federation, 5/10/20. https://doi.org/10.1007/978-3-030-93616-7_16

APA

Wang, Z., Yao, F., Petrosian, O., & Gao, H. (2021). Differential Game Model Applied in Low-Carbon Chain with Continuous Updating. In Frontiers of Dynamic Games (pp. 279-296). (Trends in Mathematics). Springer Nature. https://doi.org/10.1007/978-3-030-93616-7_16

Vancouver

Wang Z, Yao F, Petrosian O, Gao H. Differential Game Model Applied in Low-Carbon Chain with Continuous Updating. In Frontiers of Dynamic Games. Springer Nature. 2021. p. 279-296. (Trends in Mathematics). https://doi.org/10.1007/978-3-030-93616-7_16

Author

Wang, Zeyang ; Yao, Fanjun ; Petrosian, Ovanes ; Gao, Hongwei. / Differential Game Model Applied in Low-Carbon Chain with Continuous Updating. Frontiers of Dynamic Games. Springer Nature, 2021. pp. 279-296 (Trends in Mathematics).

BibTeX

@inproceedings{98917958bac54833bc31798653b9b66c,
title = "Differential Game Model Applied in Low-Carbon Chain with Continuous Updating",
abstract = "This paper is devoted to the application of a class of differential games with continuous updating in low-carbon chain. It is performed that the optimal control (cooperative strategies) and feedback Nash equilibrium strategies uniformly converge to the corresponding strategies in the game model with continuous updating as the number of updating instants converges to infinity. With respect to the traditional model, this method gives the chances for players to adjust their strategies according to the information in the near future. The key point is that players could adjust their strategies corresponding to the current time information. In this paper we for the first time study the low-carbon chain differential game model with continuous updating.",
keywords = "Continuous updating, Cooperative differential games, Differential games, Low-carbon chain, Non-cooperative differential game",
author = "Zeyang Wang and Fanjun Yao and Ovanes Petrosian and Hongwei Gao",
note = "Publisher Copyright: {\textcopyright} 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.; null ; Conference date: 05-10-2020 Through 09-10-2020",
year = "2021",
doi = "10.1007/978-3-030-93616-7_16",
language = "English",
series = "Trends in Mathematics",
publisher = "Springer Nature",
pages = "279--296",
booktitle = "Frontiers of Dynamic Games",
address = "Germany",

}

RIS

TY - GEN

T1 - Differential Game Model Applied in Low-Carbon Chain with Continuous Updating

AU - Wang, Zeyang

AU - Yao, Fanjun

AU - Petrosian, Ovanes

AU - Gao, Hongwei

N1 - Conference code: 14

PY - 2021

Y1 - 2021

N2 - This paper is devoted to the application of a class of differential games with continuous updating in low-carbon chain. It is performed that the optimal control (cooperative strategies) and feedback Nash equilibrium strategies uniformly converge to the corresponding strategies in the game model with continuous updating as the number of updating instants converges to infinity. With respect to the traditional model, this method gives the chances for players to adjust their strategies according to the information in the near future. The key point is that players could adjust their strategies corresponding to the current time information. In this paper we for the first time study the low-carbon chain differential game model with continuous updating.

AB - This paper is devoted to the application of a class of differential games with continuous updating in low-carbon chain. It is performed that the optimal control (cooperative strategies) and feedback Nash equilibrium strategies uniformly converge to the corresponding strategies in the game model with continuous updating as the number of updating instants converges to infinity. With respect to the traditional model, this method gives the chances for players to adjust their strategies according to the information in the near future. The key point is that players could adjust their strategies corresponding to the current time information. In this paper we for the first time study the low-carbon chain differential game model with continuous updating.

KW - Continuous updating

KW - Cooperative differential games

KW - Differential games

KW - Low-carbon chain

KW - Non-cooperative differential game

UR - http://www.scopus.com/inward/record.url?scp=85126693668&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-93616-7_16

DO - 10.1007/978-3-030-93616-7_16

M3 - Conference contribution

AN - SCOPUS:85126693668

T3 - Trends in Mathematics

SP - 279

EP - 296

BT - Frontiers of Dynamic Games

PB - Springer Nature

Y2 - 5 October 2020 through 9 October 2020

ER -

ID: 94745844