UAV Cluster Cooperative Decision-Making Method Based on Information Statistical Distribution and Non-zero-Sum Game

Zhixiong He; Zhongkui Sun; Shuo Zhang

doi:10.1007/978-981-19-6613-2_288

UAV Cluster Cooperative Decision-Making Method Based on Information Statistical Distribution and Non-zero-Sum Game

Zhixiong He
, Zhongkui Sun
, Shuo Zhang

School of Mathematics and Statistics

Northwestern Polytechnical University Xian

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

2 Scopus citations

Abstract

In this paper, a UAV cluster cooperative decision-making method is proposed based on information statistical distribution and dynamic non-zero-sum game. Firstly, considering the uncertain information in practice, the normalized attribute advantage is constructed through the distribution of maneuver factors and situational assessment. Secondly, according to the overall situation of the cluster, the payoff matrix of the opposing sides is calculated according to different strategies. Then, the solution of the optimal mixed strategy is transformed into the Nash equilibrium point, which could be calculated by particle swarm optimization algorithm. Finally, the superiority of the proposed cooperative decision-making algorithm is verified by simulation experiment. Compared with the traditional situation, this paper considers the information statistical distribution of UAV clusters and proposes non-zero-sum game decision-making algorithm which effectively improves the game competition ability of UAV clusters.

Original language	English
Title of host publication	Advances in Guidance, Navigation and Control - Proceedings of 2022 International Conference on Guidance, Navigation and Control
Editors	Liang Yan, Haibin Duan, Yimin Deng, Liang Yan
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	2977-2986
Number of pages	10
ISBN (Print)	9789811966125
DOIs	https://doi.org/10.1007/978-981-19-6613-2_288
State	Published - 2023
Event	International Conference on Guidance, Navigation and Control, ICGNC 2022 - Harbin, China Duration: 5 Aug 2022 → 7 Aug 2022

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	845 LNEE
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	International Conference on Guidance, Navigation and Control, ICGNC 2022
Country/Territory	China
City	Harbin
Period	5/08/22 → 7/08/22

Keywords

Cooperative decision-making
Dynamic game
Information statistical distribution
Nash equilibrium
Non-zero-sum game
UAV clusters

Access to Document

10.1007/978-981-19-6613-2_288

Cite this

He, Z., Sun, Z., & Zhang, S. (2023). UAV Cluster Cooperative Decision-Making Method Based on Information Statistical Distribution and Non-zero-Sum Game. In L. Yan, H. Duan, Y. Deng, & L. Yan (Eds.), Advances in Guidance, Navigation and Control - Proceedings of 2022 International Conference on Guidance, Navigation and Control (pp. 2977-2986). (Lecture Notes in Electrical Engineering; Vol. 845 LNEE). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-19-6613-2_288

He, Zhixiong ; Sun, Zhongkui ; Zhang, Shuo. / UAV Cluster Cooperative Decision-Making Method Based on Information Statistical Distribution and Non-zero-Sum Game. Advances in Guidance, Navigation and Control - Proceedings of 2022 International Conference on Guidance, Navigation and Control. editor / Liang Yan ; Haibin Duan ; Yimin Deng ; Liang Yan. Springer Science and Business Media Deutschland GmbH, 2023. pp. 2977-2986 (Lecture Notes in Electrical Engineering).

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abstract = "In this paper, a UAV cluster cooperative decision-making method is proposed based on information statistical distribution and dynamic non-zero-sum game. Firstly, considering the uncertain information in practice, the normalized attribute advantage is constructed through the distribution of maneuver factors and situational assessment. Secondly, according to the overall situation of the cluster, the payoff matrix of the opposing sides is calculated according to different strategies. Then, the solution of the optimal mixed strategy is transformed into the Nash equilibrium point, which could be calculated by particle swarm optimization algorithm. Finally, the superiority of the proposed cooperative decision-making algorithm is verified by simulation experiment. Compared with the traditional situation, this paper considers the information statistical distribution of UAV clusters and proposes non-zero-sum game decision-making algorithm which effectively improves the game competition ability of UAV clusters.",

keywords = "Cooperative decision-making, Dynamic game, Information statistical distribution, Nash equilibrium, Non-zero-sum game, UAV clusters",

author = "Zhixiong He and Zhongkui Sun and Shuo Zhang",

note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; International Conference on Guidance, Navigation and Control, ICGNC 2022 ; Conference date: 05-08-2022 Through 07-08-2022",

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doi = "10.1007/978-981-19-6613-2\_288",

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He, Z, Sun, Z & Zhang, S 2023, UAV Cluster Cooperative Decision-Making Method Based on Information Statistical Distribution and Non-zero-Sum Game. in L Yan, H Duan, Y Deng & L Yan (eds), Advances in Guidance, Navigation and Control - Proceedings of 2022 International Conference on Guidance, Navigation and Control. Lecture Notes in Electrical Engineering, vol. 845 LNEE, Springer Science and Business Media Deutschland GmbH, pp. 2977-2986, International Conference on Guidance, Navigation and Control, ICGNC 2022, Harbin, China, 5/08/22. https://doi.org/10.1007/978-981-19-6613-2_288

UAV Cluster Cooperative Decision-Making Method Based on Information Statistical Distribution and Non-zero-Sum Game. / He, Zhixiong; Sun, Zhongkui; Zhang, Shuo.
Advances in Guidance, Navigation and Control - Proceedings of 2022 International Conference on Guidance, Navigation and Control. ed. / Liang Yan; Haibin Duan; Yimin Deng; Liang Yan. Springer Science and Business Media Deutschland GmbH, 2023. p. 2977-2986 (Lecture Notes in Electrical Engineering; Vol. 845 LNEE).

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

TY - GEN

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AU - He, Zhixiong

AU - Sun, Zhongkui

AU - Zhang, Shuo

PY - 2023

Y1 - 2023

N2 - In this paper, a UAV cluster cooperative decision-making method is proposed based on information statistical distribution and dynamic non-zero-sum game. Firstly, considering the uncertain information in practice, the normalized attribute advantage is constructed through the distribution of maneuver factors and situational assessment. Secondly, according to the overall situation of the cluster, the payoff matrix of the opposing sides is calculated according to different strategies. Then, the solution of the optimal mixed strategy is transformed into the Nash equilibrium point, which could be calculated by particle swarm optimization algorithm. Finally, the superiority of the proposed cooperative decision-making algorithm is verified by simulation experiment. Compared with the traditional situation, this paper considers the information statistical distribution of UAV clusters and proposes non-zero-sum game decision-making algorithm which effectively improves the game competition ability of UAV clusters.

AB - In this paper, a UAV cluster cooperative decision-making method is proposed based on information statistical distribution and dynamic non-zero-sum game. Firstly, considering the uncertain information in practice, the normalized attribute advantage is constructed through the distribution of maneuver factors and situational assessment. Secondly, according to the overall situation of the cluster, the payoff matrix of the opposing sides is calculated according to different strategies. Then, the solution of the optimal mixed strategy is transformed into the Nash equilibrium point, which could be calculated by particle swarm optimization algorithm. Finally, the superiority of the proposed cooperative decision-making algorithm is verified by simulation experiment. Compared with the traditional situation, this paper considers the information statistical distribution of UAV clusters and proposes non-zero-sum game decision-making algorithm which effectively improves the game competition ability of UAV clusters.

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KW - Dynamic game

KW - Information statistical distribution

KW - Nash equilibrium

KW - Non-zero-sum game

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SN - 9789811966125

T3 - Lecture Notes in Electrical Engineering

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BT - Advances in Guidance, Navigation and Control - Proceedings of 2022 International Conference on Guidance, Navigation and Control

A2 - Yan, Liang

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A2 - Deng, Yimin

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PB - Springer Science and Business Media Deutschland GmbH

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ER -

He Z, Sun Z, Zhang S. UAV Cluster Cooperative Decision-Making Method Based on Information Statistical Distribution and Non-zero-Sum Game. In Yan L, Duan H, Deng Y, Yan L, editors, Advances in Guidance, Navigation and Control - Proceedings of 2022 International Conference on Guidance, Navigation and Control. Springer Science and Business Media Deutschland GmbH. 2023. p. 2977-2986. (Lecture Notes in Electrical Engineering). doi: 10.1007/978-981-19-6613-2_288

UAV Cluster Cooperative Decision-Making Method Based on Information Statistical Distribution and Non-zero-Sum Game

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