Adaptive Distributed Impulsive Synchronization Control for Multi-Agent Systems Under Switching Deception Attacks on Dual Channels

IF 7.9 2区计算机科学 Q1 ENGINEERING, MULTIDISCIPLINARY

IEEE Transactions on Network Science and Engineering Pub Date : 2025-03-27 DOI:10.1109/TNSE.2025.3554169

Jiangyan He;Xing Guo;Zili Chen;Jianlong Ren

{"title":"Adaptive Distributed Impulsive Synchronization Control for Multi-Agent Systems Under Switching Deception Attacks on Dual Channels","authors":"Jiangyan He;Xing Guo;Zili Chen;Jianlong Ren","doi":"10.1109/TNSE.2025.3554169","DOIUrl":null,"url":null,"abstract":"The paper explores the mean-square bounded synchronization problem of leader-following multi-agent systems (LF-MASs) with the directed network under dual-channel stochastic switching deception attacks. Compared with previous studies, a new dual-channel deception attack mode is considered. In this new attack mode: 1) the deception attacks suffered by the sensor-controller channel are edge-based. 2) the sensor-controller channel and the controller-actuator channel are subjected to stochastic switching deception attacks by different deception signals at different impulse moments, and the stochastic switching manner on each channel obeys the Bernoulli distribution. To tackle this challenging problem, a novel adaptive and switching secure impulsive synchronization control protocol is proposed. In this new protocol, the agents receive false signals from their neighbors due to edge-based deception attacks on the sensor-controller channel. Further, some criteria have been obtained under the designed novel control protocol by applying linear matrix inequality technique, matrix analytic theory and Lyapunov stability theory. Finally, two examples are given to verify the obtained results.","PeriodicalId":54229,"journal":{"name":"IEEE Transactions on Network Science and Engineering","volume":"12 4","pages":"2797-2809"},"PeriodicalIF":7.9000,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Network Science and Engineering","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10944226/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}

引用次数: 0

Abstract

The paper explores the mean-square bounded synchronization problem of leader-following multi-agent systems (LF-MASs) with the directed network under dual-channel stochastic switching deception attacks. Compared with previous studies, a new dual-channel deception attack mode is considered. In this new attack mode: 1) the deception attacks suffered by the sensor-controller channel are edge-based. 2) the sensor-controller channel and the controller-actuator channel are subjected to stochastic switching deception attacks by different deception signals at different impulse moments, and the stochastic switching manner on each channel obeys the Bernoulli distribution. To tackle this challenging problem, a novel adaptive and switching secure impulsive synchronization control protocol is proposed. In this new protocol, the agents receive false signals from their neighbors due to edge-based deception attacks on the sensor-controller channel. Further, some criteria have been obtained under the designed novel control protocol by applying linear matrix inequality technique, matrix analytic theory and Lyapunov stability theory. Finally, two examples are given to verify the obtained results.

查看原文本刊更多论文

双信道切换欺骗攻击下多智能体系统的自适应分布脉冲同步控制

研究了双通道随机切换欺骗攻击下具有有向网络的leader-follow多智能体系统（LF-MASs）的均方有界同步问题。与以往的研究相比，本文提出了一种新的双通道欺骗攻击模式。在这种新的攻击模式下：1)传感器-控制器通道遭受的欺骗攻击是基于边缘的。2)传感器-控制器通道和控制器-执行器通道在不同脉冲时刻受到不同欺骗信号的随机切换欺骗攻击，各通道上的随机切换方式服从伯努利分布。为了解决这一具有挑战性的问题，提出了一种新的自适应切换安全脉冲同步控制协议。在这个新协议中，由于传感器控制器通道上基于边缘的欺骗攻击，代理接收到来自邻居的错误信号。进一步应用线性矩阵不等式技术、矩阵解析理论和李亚普诺夫稳定性理论，得到了新控制方案下的若干判据。最后给出了两个算例来验证所得结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

IEEE Transactions on Network Science and Engineering Engineering-Control and Systems Engineering

CiteScore

12.60

自引率

9.10%

发文量

393

期刊介绍： The proposed journal, called the IEEE Transactions on Network Science and Engineering (TNSE), is committed to timely publishing of peer-reviewed technical articles that deal with the theory and applications of network science and the interconnections among the elements in a system that form a network. In particular, the IEEE Transactions on Network Science and Engineering publishes articles on understanding, prediction, and control of structures and behaviors of networks at the fundamental level. The types of networks covered include physical or engineered networks, information networks, biological networks, semantic networks, economic networks, social networks, and ecological networks. Aimed at discovering common principles that govern network structures, network functionalities and behaviors of networks, the journal seeks articles on understanding, prediction, and control of structures and behaviors of networks. Another trans-disciplinary focus of the IEEE Transactions on Network Science and Engineering is the interactions between and co-evolution of different genres of networks.