基于MADDPG的分布式测控网络群切换算法

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中图分类号：TN393 文献标志码：A DOI：10.12305/j.issn.1001-506X.2025.06.31

Abstract：Affected by the navigation denial in special environments such as war，node mobility and environmental interference，rapid topology reconfigurationof the measurementand control networkis the key to ensure continuous positioning. In orderto solve the above problems，a distributed multi-agent measurement and control network group switching algorithm based on multi-agent deep deterministic policy gradient（MADDPG） for the scenario of multi system unmanned cluster measurement and control network isproposed.This algorithm employs a partially observable Markov decision process model and considers minimum connectivity， energy consumption and measurement and control precision to design the reward function，and constructs a reliable measurement and controllocalization system. Simulation results show that the algorithm is feasible and efective in different interferenceenvironments to effectivelyresist external interference，ensure the normal operation of measurement，control and localization，and improve the switching success rate to more than 12% （20 compared with traditional switching algorithms.

Keywords： topology reconfiguration； group switching；measurement and control positioning；partially observable Markov decision；minimum connectivity

0 引言

络连通性的研究主要围绕两个方面开展：连通性的检测及预测、连通性的修复与维持。（剩余19575字）