TY - GEN
T1 - UAV Cluster Cooperative Decision-Making Method Based on Information Statistical Distribution and Non-zero-Sum Game
AU - He, Zhixiong
AU - Sun, Zhongkui
AU - Zhang, Shuo
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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.
KW - Cooperative decision-making
KW - Dynamic game
KW - Information statistical distribution
KW - Nash equilibrium
KW - Non-zero-sum game
KW - UAV clusters
UR - http://www.scopus.com/inward/record.url?scp=85151158539&partnerID=8YFLogxK
U2 - 10.1007/978-981-19-6613-2_288
DO - 10.1007/978-981-19-6613-2_288
M3 - 会议稿件
AN - SCOPUS:85151158539
SN - 9789811966125
T3 - Lecture Notes in Electrical Engineering
SP - 2977
EP - 2986
BT - Advances in Guidance, Navigation and Control - Proceedings of 2022 International Conference on Guidance, Navigation and Control
A2 - Yan, Liang
A2 - Duan, Haibin
A2 - Deng, Yimin
A2 - Yan, Liang
PB - Springer Science and Business Media Deutschland GmbH
T2 - International Conference on Guidance, Navigation and Control, ICGNC 2022
Y2 - 5 August 2022 through 7 August 2022
ER -