基于中心转移的水下无人群自主控制技术研究

W. Tao, Y. Miao, Biqin Xiao, Hongrui Li, Guanfang Li
{"title":"基于中心转移的水下无人群自主控制技术研究","authors":"W. Tao, Y. Miao, Biqin Xiao, Hongrui Li, Guanfang Li","doi":"10.1109/CACRE50138.2020.9230240","DOIUrl":null,"url":null,"abstract":"The research status of underwater unmanned swarm control technology is briefly analyzed and its cooperative control system based on center transfer is constructed. A hybrid hierarchical information fusion structure and its joint optimization model is set up followed by simulation. The results show that the constructed decentralized underwater unmanned swarm autonomous control system can realize fast and stable tracking for target, and satisfy the application requirements.","PeriodicalId":325195,"journal":{"name":"2020 5th International Conference on Automation, Control and Robotics Engineering (CACRE)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on autonomous control technology of underwater unmanned swarm based on center transfer\",\"authors\":\"W. Tao, Y. Miao, Biqin Xiao, Hongrui Li, Guanfang Li\",\"doi\":\"10.1109/CACRE50138.2020.9230240\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The research status of underwater unmanned swarm control technology is briefly analyzed and its cooperative control system based on center transfer is constructed. A hybrid hierarchical information fusion structure and its joint optimization model is set up followed by simulation. The results show that the constructed decentralized underwater unmanned swarm autonomous control system can realize fast and stable tracking for target, and satisfy the application requirements.\",\"PeriodicalId\":325195,\"journal\":{\"name\":\"2020 5th International Conference on Automation, Control and Robotics Engineering (CACRE)\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 5th International Conference on Automation, Control and Robotics Engineering (CACRE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CACRE50138.2020.9230240\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 5th International Conference on Automation, Control and Robotics Engineering (CACRE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CACRE50138.2020.9230240","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

简要分析了水下无人群控制技术的研究现状,构建了基于中心转移的水下无人群协同控制系统。建立了混合层次信息融合结构及其联合优化模型,并进行了仿真。结果表明,所构建的分散水下无人群自主控制系统能够实现对目标的快速稳定跟踪,满足应用需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Research on autonomous control technology of underwater unmanned swarm based on center transfer
The research status of underwater unmanned swarm control technology is briefly analyzed and its cooperative control system based on center transfer is constructed. A hybrid hierarchical information fusion structure and its joint optimization model is set up followed by simulation. The results show that the constructed decentralized underwater unmanned swarm autonomous control system can realize fast and stable tracking for target, and satisfy the application requirements.
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
期刊最新文献
Model Establishment of Decision Tree Algorithm and Its Application in Vehicle Fault Prediction Analysis Cooperative Level Curve Tracking in Advection-Diffusion Fields Spatial Pooling Network For Lane Line Segmentation Filters navigation and positioning based on mining vehicle motion model Dynamic Optimal Scheduling of Microgrid Based on ε constraint multi-objective Biogeography-based Optimization Algorithm
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1