{"title":"Data-driven control with event-triggered dynamic compensation for multi-agent systems under DoS attacks","authors":"Libang Yin , Yining Qian , An-Yang Lu","doi":"10.1016/j.ins.2024.121851","DOIUrl":null,"url":null,"abstract":"<div><div>This paper is concerned with the tracking control problem for nonlinear multi-agent systems susceptible to DoS attacks based on I/O data. First, tailored to DoS attacks characterized by limited attack frequency and duration, an adaptive compensation scheme adjusting input signals based on DoS attack intervals is designed within the framework of the dynamic threshold event-triggered model free adaptive control strategy, which mitigates the impact of communication disruptions. Besides, by reformulating the tracking control problem as a feasibility problem, an algorithm is designed to obtain two variable parameters of controller by employing the linear matrix inequality (LMI) technique, thereby enhancing system performance and reducing the times of event-triggering. And the boundedness of tracking errors is proven using the contraction mapping principle. Finally, the validity of the proposed method is validated through simulation comparisons.</div></div>","PeriodicalId":51063,"journal":{"name":"Information Sciences","volume":"701 ","pages":"Article 121851"},"PeriodicalIF":8.1000,"publicationDate":"2025-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Information Sciences","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0020025524017651","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
This paper is concerned with the tracking control problem for nonlinear multi-agent systems susceptible to DoS attacks based on I/O data. First, tailored to DoS attacks characterized by limited attack frequency and duration, an adaptive compensation scheme adjusting input signals based on DoS attack intervals is designed within the framework of the dynamic threshold event-triggered model free adaptive control strategy, which mitigates the impact of communication disruptions. Besides, by reformulating the tracking control problem as a feasibility problem, an algorithm is designed to obtain two variable parameters of controller by employing the linear matrix inequality (LMI) technique, thereby enhancing system performance and reducing the times of event-triggering. And the boundedness of tracking errors is proven using the contraction mapping principle. Finally, the validity of the proposed method is validated through simulation comparisons.
期刊介绍：
Informatics and Computer Science Intelligent Systems Applications is an esteemed international journal that focuses on publishing original and creative research findings in the field of information sciences. We also feature a limited number of timely tutorial and surveying contributions.
Our journal aims to cater to a diverse audience, including researchers, developers, managers, strategic planners, graduate students, and anyone interested in staying up-to-date with cutting-edge research in information science, knowledge engineering, and intelligent systems. While readers are expected to share a common interest in information science, they come from varying backgrounds such as engineering, mathematics, statistics, physics, computer science, cell biology, molecular biology, management science, cognitive science, neurobiology, behavioral sciences, and biochemistry.
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