DoS 攻击下不确定异构多代理系统的分布式自适应采样数据安全跟踪控制

IF 5.3 2区 计算机科学 Q1 TELECOMMUNICATIONS
Ning Zhao;Michael Shi;Xudong Zhao;Guangdeng Zong;Huiyan Zhang
{"title":"DoS 攻击下不确定异构多代理系统的分布式自适应采样数据安全跟踪控制","authors":"Ning Zhao;Michael Shi;Xudong Zhao;Guangdeng Zong;Huiyan Zhang","doi":"10.1109/TGCN.2024.3381346","DOIUrl":null,"url":null,"abstract":"This paper addresses the issue of secure distributed consensus tracking control for uncertain heterogeneous multi-agent systems (MASs) under synchronous sampled communication and intermittent denial-of-service (DoS) attacks. Considering that DoS attacks intermittently block the sampled data signal, a new packet update sequence is established to describe the transmitted signal to the neighbor agents. By virtue of the leader’s dynamics, the sampled-data-based distributed observer is established to observe the leader’s information for all followers. Then, based on the estimated signals and employing neural network approximation approach, secure adaptive sampled-data control strategy is proposed to compensate for the effects of uncertainty and DoS attacks. By utilizing novel Lyapunov-Krasovskii approach, the consensus tracking errors are regulated in the neighborhood around the origin. Finally, a numerical example with the coupled pendulums is provided to substantiate the efficiency of the proposed approach to achieve tracking security performance.","PeriodicalId":13052,"journal":{"name":"IEEE Transactions on Green Communications and Networking","volume":"8 4","pages":"1385-1397"},"PeriodicalIF":5.3000,"publicationDate":"2024-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Distributed Adaptive Sampled-Data Security Tracking Control for Uncertain Heterogeneous Multi-Agents Systems Under DoS Attacks\",\"authors\":\"Ning Zhao;Michael Shi;Xudong Zhao;Guangdeng Zong;Huiyan Zhang\",\"doi\":\"10.1109/TGCN.2024.3381346\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper addresses the issue of secure distributed consensus tracking control for uncertain heterogeneous multi-agent systems (MASs) under synchronous sampled communication and intermittent denial-of-service (DoS) attacks. Considering that DoS attacks intermittently block the sampled data signal, a new packet update sequence is established to describe the transmitted signal to the neighbor agents. By virtue of the leader’s dynamics, the sampled-data-based distributed observer is established to observe the leader’s information for all followers. Then, based on the estimated signals and employing neural network approximation approach, secure adaptive sampled-data control strategy is proposed to compensate for the effects of uncertainty and DoS attacks. By utilizing novel Lyapunov-Krasovskii approach, the consensus tracking errors are regulated in the neighborhood around the origin. Finally, a numerical example with the coupled pendulums is provided to substantiate the efficiency of the proposed approach to achieve tracking security performance.\",\"PeriodicalId\":13052,\"journal\":{\"name\":\"IEEE Transactions on Green Communications and Networking\",\"volume\":\"8 4\",\"pages\":\"1385-1397\"},\"PeriodicalIF\":5.3000,\"publicationDate\":\"2024-03-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Green Communications and Networking\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10478713/\",\"RegionNum\":2,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"TELECOMMUNICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Green Communications and Networking","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10478713/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"TELECOMMUNICATIONS","Score":null,"Total":0}
引用次数: 0

摘要

本文探讨了在同步采样通信和间歇性拒绝服务(DoS)攻击下,不确定异构多代理系统(MAS)的安全分布式共识跟踪控制问题。考虑到 DoS 攻击会间歇性地阻断采样数据信号,因此需要建立一个新的数据包更新序列,以向相邻代理描述传输信号。利用领导者的动态性,建立基于采样数据的分布式观测器,为所有跟随者观测领导者的信息。然后,根据估计的信号并采用神经网络近似方法,提出安全的自适应采样数据控制策略,以补偿不确定性和 DoS 攻击的影响。通过利用新颖的 Lyapunov-Krasovskii 方法,在原点附近调节了共识跟踪误差。最后,提供了一个耦合摆的数值示例,以证实所提方法在实现跟踪安全性能方面的效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Distributed Adaptive Sampled-Data Security Tracking Control for Uncertain Heterogeneous Multi-Agents Systems Under DoS Attacks
This paper addresses the issue of secure distributed consensus tracking control for uncertain heterogeneous multi-agent systems (MASs) under synchronous sampled communication and intermittent denial-of-service (DoS) attacks. Considering that DoS attacks intermittently block the sampled data signal, a new packet update sequence is established to describe the transmitted signal to the neighbor agents. By virtue of the leader’s dynamics, the sampled-data-based distributed observer is established to observe the leader’s information for all followers. Then, based on the estimated signals and employing neural network approximation approach, secure adaptive sampled-data control strategy is proposed to compensate for the effects of uncertainty and DoS attacks. By utilizing novel Lyapunov-Krasovskii approach, the consensus tracking errors are regulated in the neighborhood around the origin. Finally, a numerical example with the coupled pendulums is provided to substantiate the efficiency of the proposed approach to achieve tracking security performance.
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
IEEE Transactions on Green Communications and Networking
IEEE Transactions on Green Communications and Networking Computer Science-Computer Networks and Communications
CiteScore
9.30
自引率
6.20%
发文量
181
×
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:481959085
Book学术官方微信