基于利益共同体的异构MAS反导作战传感器任务规划建模与实现

Ni Peng, Liu Jin-mang, Wang Gang, Liu Chang-yun
{"title":"基于利益共同体的异构MAS反导作战传感器任务规划建模与实现","authors":"Ni Peng, Liu Jin-mang, Wang Gang, Liu Chang-yun","doi":"10.2174/1874444301507012008","DOIUrl":null,"url":null,"abstract":"It is important and difficult for antimissile battle to use the advantage of resource complementarity of multidimensional sensor platform for collaborative detection and trace. In order to improve the efficiency of mission planning of sensor, for the heterogeneous of the observed resources and the phase and dynamics of missions, the paper introduces the concept of task community, analyzes and establishes heterogeneous MAS multi-sensor task planning system and solution mechanism of problems, based on which the paper focuses on establishing multi-sensor task planning sequence generation model based on cycle-event. And the paper proposes an improved particle swarm optimization algorithm. Simulation experiments indicate that the mechanism established in the paper is rational and effective, and is better than the multisensor task planning effect under traditional mode.","PeriodicalId":153592,"journal":{"name":"The Open Automation and Control Systems Journal","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modeling and Implementation of Heterogeneous MAS Anti-Missile BattleSensor Task Planning Based on Community of Interest\",\"authors\":\"Ni Peng, Liu Jin-mang, Wang Gang, Liu Chang-yun\",\"doi\":\"10.2174/1874444301507012008\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"It is important and difficult for antimissile battle to use the advantage of resource complementarity of multidimensional sensor platform for collaborative detection and trace. In order to improve the efficiency of mission planning of sensor, for the heterogeneous of the observed resources and the phase and dynamics of missions, the paper introduces the concept of task community, analyzes and establishes heterogeneous MAS multi-sensor task planning system and solution mechanism of problems, based on which the paper focuses on establishing multi-sensor task planning sequence generation model based on cycle-event. And the paper proposes an improved particle swarm optimization algorithm. Simulation experiments indicate that the mechanism established in the paper is rational and effective, and is better than the multisensor task planning effect under traditional mode.\",\"PeriodicalId\":153592,\"journal\":{\"name\":\"The Open Automation and Control Systems Journal\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-10-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Open Automation and Control Systems Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2174/1874444301507012008\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Open Automation and Control Systems Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2174/1874444301507012008","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

利用多维传感器平台资源互补的优势进行协同探测和跟踪是反导作战的重要和难点。为了提高传感器任务规划的效率,针对观测资源的异构性以及任务的阶段性和动态性,引入任务共同体的概念,分析并建立异构MAS多传感器任务规划系统和问题的解决机制,在此基础上重点建立了基于循环事件的多传感器任务规划序列生成模型。提出了一种改进的粒子群优化算法。仿真实验表明,所建立的机制合理有效,优于传统模式下的多传感器任务规划效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling and Implementation of Heterogeneous MAS Anti-Missile BattleSensor Task Planning Based on Community of Interest
It is important and difficult for antimissile battle to use the advantage of resource complementarity of multidimensional sensor platform for collaborative detection and trace. In order to improve the efficiency of mission planning of sensor, for the heterogeneous of the observed resources and the phase and dynamics of missions, the paper introduces the concept of task community, analyzes and establishes heterogeneous MAS multi-sensor task planning system and solution mechanism of problems, based on which the paper focuses on establishing multi-sensor task planning sequence generation model based on cycle-event. And the paper proposes an improved particle swarm optimization algorithm. Simulation experiments indicate that the mechanism established in the paper is rational and effective, and is better than the multisensor task planning effect under traditional mode.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信