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机构地区:[1]空军雷达学院研究生管理大队23队,武汉430019 [2]空军雷达学院预警监视情报系,武汉430019 [3]国防科技大学信息系统与管理学院,长沙410073
出 处:《系统仿真学报》2012年第12期2550-2555,2561,共7页Journal of System Simulation
基 金:国家自然科学基金(60802080);全军军事学研究生课题(2010JY0856-509)
摘 要:随着作战环境的日益复杂,多预警机进行情报协同成为必然趋势,而如何对参与情报协同的各预警机进行实时的动态任务分配以使系统整体效能最大化成为亟待解决的课题。基于此,首先,根据部队指挥体制具有层次结构的特点,结合集中式与分布式任务分配的优点,设计了混合式情报协同体系结构,并对系统的相关元素进行了建模;然后,提出用合同网解决各预警机间任务的动态协调问题,用petri网模型去捕获合同网协议中管理者和投标者间的相互关系:招标者需求petri网可以计算每个子任务的预期时间,合同评估petri网可以评估合同的可行性及最优性,合同授予petri网可以自动将最优合同授予相应的投标者;最后,通过仿真验证了模型的有效性。Along with the battle surroundings are becoming more and more complex, multiple airborne early warning for intelligence cooperation (MAEWIC) will be the inevitable trend. How to carry on the real-time dynamic task allocation to each airborne early waming in order to maximize the overall performance of the system must be solved. Based on this, firstly, according to the military command structure with the hierarchy characteristic, combining the centralized processing and distributed processing, a composite structure for MAEWIC was designed, and the elements of the MAEWIC system were modeled; Secondly, the problem of dynamic task allocation was solved based on contract net, and the interrelationship between manager and bidders were captured by petri net models: a petri net model calculated each subtask anticipated time, a petri net model evaluated the feasibility and optimality of the contracts, a petri net model awarded contracts to the corresponding bidder; Lastly, the simulation proves the model is effective.
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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