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作 者:刘家义 岳韶华[1] 王刚[1] 张杰 姚小强[1] LIU Jiayi;YUE Shaohua;WANG Gang;ZHANG Jie;YAO Xiaoqiang(Air and Missile Defense College, Air Force Engineering University, Xi’an 710054, China)
机构地区:[1]空军工程大学防空反导学院,陕西西安710054
出 处:《系统工程与电子技术》2020年第7期1582-1589,共8页Systems Engineering and Electronics
基 金:国家自然科学基金青年科学基金(61703412,61703426)资助课题。
摘 要:在瞬息万变的网络化体系作战环境中,如何准确、及时地提取有用信息并作出决策,有效应对实际作战中作战效益低、资源损耗大、作战时间长等问题一直是研究的热点之一。本文以多平台协同完成对来袭目标的拦截任务为背景,提出了一种多平台分布式协同作战下基于模型预测控制(model prediction control,MPC)和多智能体系统(multi-agent system,MAS)的指挥控制系统模型。通过引入分布式多平台协同的模型概念,使各平台之间实现完全信息共享,并且采用全局分布局部集中的决策结构,设计了分布式指挥控制的协同模型框架,选定蒙特卡罗方法进行仿真实验对比。实验结果证明了该模型具有收敛性好、误差低、损失值低等优点,可以高效地解决分布式环境下协同作战的指挥控制模型构建问题。In the rapidly changing networked system combat environment,it has always been one of the research hotspots about how to accurately and timely extract the useful information and make decisions to effectively deal with the problems of low combat effectiveness,large resource consumption,and long combat time in actual combat.Based on the background of multi-platform collaboration to complete the interception of incoming targets,a command control system model is proposed with the model prediction control(MPC)and multi-agent system(MAS)under multi-platform distributed collaborative operation.The model concept of multi-platform distributed cooperative enables the complete information sharing among various platforms,and adopts a global distribution-local centralized decision structure.A collaborative model framework for distributed command and control is designed.The simulation experiment results are selected for comparison with the Monte Carlo method,which prove that the model exhibits better convergence,low error,low loss value,and more effectively to solve the problem of constructing a command control model for collaborative operations in a distributed environment.
关 键 词:分布式协同作战 多智能体 指挥控制模型 冲突消解
分 类 号:TP301.6[自动化与计算机技术—计算机系统结构]
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