{"title":"Resilient Event-Triggered Containment Control of Multiagent Systems Under Asynchronous DoS Attacks and Disturbances","authors":"Mohammad Mousavian;Hajar Atrianfar","doi":"10.1109/TCNS.2024.3432951","DOIUrl":null,"url":null,"abstract":"The distributed event-triggered controller is proposed for the containment control of linear multiagent systems under asynchronous denial of service (DoS) cyber-attacks and external disturbances. Using disturbance observer, event-triggered containment control under DoS attacks and disturbance is guaranteed. It is assumed that separate attacks occurred on the control channels and the communication channels. Moreover, when effective DoS attacks occur, it becomes impossible to communicate data through a communication network, and if the DoS attack is ineffective, the topology graph has a united directed spanning tree. Our method does not require the continuous sharing of state information between neighboring agents; rather, at event times, information is sent to reduce the consumption of communication resources. Using state estimators, trigger times are determined according to the estimator's data without any continuous information of the neighbor's state. Using accurate analysis of the time and frequency of DoS attacks, the resilient conditions are obtained, and then, exponential stability of containment behavior under asynchronous attacks is proved by Lyapunov analysis. Moreover, the obtained strictly positive minimal interevent time for agents prevents Zeno behavior. Finally, the performance of the proposed method is shown by simulation.","PeriodicalId":56023,"journal":{"name":"IEEE Transactions on Control of Network Systems","volume":"12 1","pages":"85-95"},"PeriodicalIF":4.0000,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Control of Network Systems","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10608404/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
The distributed event-triggered controller is proposed for the containment control of linear multiagent systems under asynchronous denial of service (DoS) cyber-attacks and external disturbances. Using disturbance observer, event-triggered containment control under DoS attacks and disturbance is guaranteed. It is assumed that separate attacks occurred on the control channels and the communication channels. Moreover, when effective DoS attacks occur, it becomes impossible to communicate data through a communication network, and if the DoS attack is ineffective, the topology graph has a united directed spanning tree. Our method does not require the continuous sharing of state information between neighboring agents; rather, at event times, information is sent to reduce the consumption of communication resources. Using state estimators, trigger times are determined according to the estimator's data without any continuous information of the neighbor's state. Using accurate analysis of the time and frequency of DoS attacks, the resilient conditions are obtained, and then, exponential stability of containment behavior under asynchronous attacks is proved by Lyapunov analysis. Moreover, the obtained strictly positive minimal interevent time for agents prevents Zeno behavior. Finally, the performance of the proposed method is shown by simulation.
期刊介绍:
The IEEE Transactions on Control of Network Systems is committed to the timely publication of high-impact papers at the intersection of control systems and network science. In particular, the journal addresses research on the analysis, design and implementation of networked control systems, as well as control over networks. Relevant work includes the full spectrum from basic research on control systems to the design of engineering solutions for automatic control of, and over, networks. The topics covered by this journal include: Coordinated control and estimation over networks, Control and computation over sensor networks, Control under communication constraints, Control and performance analysis issues that arise in the dynamics of networks used in application areas such as communications, computers, transportation, manufacturing, Web ranking and aggregation, social networks, biology, power systems, economics, Synchronization of activities across a controlled network, Stability analysis of controlled networks, Analysis of networks as hybrid dynamical systems.