基于FCM的多无人机协同攻击决策建模方法

doi:10.7527/S1000-6893.2021.25526

Abstract

Abstract: According to the requirements for multi-UAV cooperative mission in the complex and uncertain battlefield environment, a decision-making modeling method of multi-UAV cooperative attack based on the Fuzzy Cognitive Map (FCM) and its extended model are proposed. Based on the human decision-making mental model, the model framework of the multi-UAV cooperative attack decision-making system including the perceptual and rational decision-making modes is established by using the Agent-Based Fuzzy Cognitive Map (ABFCM). The Fuzzy Grey Cognitive Map (FGCM) is used to model the situation awareness and cooperative attack decision of multi-UAVs. Based on the amygdala mechanism of human brain, a perceptual attack decision model for quick matching of situation and decision template is established. To reduce the dependence of modeling work on expert knowledge, a rational attack decision model is established based on the decision threshold algorithm of intuitionistic fuzzy sets, and the learning and evolution ability of the decision model is further improved by using the Momentum Gradient Descent (MGD) learning algorithm. The simulation results show that the method proposed can better cope with the complex and uncertain battlefield environment, give full play to the comprehensive role of knowledge and data in modeling, and provide theoretical and modeling guidance for improving the decision-making advantages in mission execution by multi-UAVs.

Key words: cooperative attack decision, situation awareness, fuzzy cognitive map, intuitionistic fuzzy set, momentum gradient descenthttp

CLC Number:

V279
TP181

CHEN Jun, LIANG Jing, CHENG Long, TONG Yan. Cooperative attack decision modeling method of multiple UAVs based on FCM[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2022, 43(7): 325526-325526.

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Cooperative attack decision modeling method of multiple UAVs based on FCM

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