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机构地区:[1]School of of Mechatronical Engineering,Beijing Institute of Technology
出 处:《Journal of Beijing Institute of Technology》2015年第2期180-187,共8页北京理工大学学报(英文版)
基 金:Supported by the Aviation Science Foundation of China(2013ZC72006)
摘 要:Disconnection in the distributed heterogeneous networked unmanned weapon systems is caused by multiple weapon units' failure. The technical routes were analyzed to achieve resilience in the disconnection situation. A heterogeneous distributed network model of networked unmanned weapon systems was established. And an approach of adding relay weapon units was proposed to a- chieve fault tolerance after weapon units' failure due to attack or energy exhaustion. An improved ge- netic algorithm was proposed to determine and optimize the position of the relay weapon units. Simulation results in the MATLAB show that the improved resilience-based genetic algorithm can restore the network connection maximally when the number of relay units is limited, the network can keep on working after failure, and the implementation cost is controlled in a reasonable range.Disconnection in the distributed heterogeneous networked unmanned weapon systems is caused by multiple weapon units' failure. The technical routes were analyzed to achieve resilience in the disconnection situation. A heterogeneous distributed network model of networked unmanned weapon systems was established. And an approach of adding relay weapon units was proposed to a- chieve fault tolerance after weapon units' failure due to attack or energy exhaustion. An improved ge- netic algorithm was proposed to determine and optimize the position of the relay weapon units. Simulation results in the MATLAB show that the improved resilience-based genetic algorithm can restore the network connection maximally when the number of relay units is limited, the network can keep on working after failure, and the implementation cost is controlled in a reasonable range.
关 键 词:distributed heterogeneous network unmanned weapon system genetic algorithm RESILIENCE
分 类 号:E9399[军事—军事装备学] TP18[自动化与计算机技术—控制理论与控制工程]
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