A Casual-Based Operational Analysis Framework for Multi-UAV Systems

In the collaborative task scenario of heterogeneous Multi-Unmanned Aerial Vehicle(UAS) systems, there are many factors which affecting mission efficiency, and they form a network with potential casual relationship. How to effectively analyze the causal relationship between each factor and the mission efficiency indexes is of great significance for improving the system efficiency. Thus, an casual-based analysis framework is proposed to identify the critical factors affecting the operation efficiency. Based on the traditional correlation test method, the framework proposed a rule-based test method identifying meta casual relationships of the network. The framework is verified in experimental environment which shows that it has reference value in the operational efficiency research of multi-UAV systems and guide the deployment of UAV system.