{"title":"针对拜占庭攻击的质量自触发安全二部形成:一种分布式未知输入观测器方法","authors":"Younan Zhao , Fanglai Zhu , Xufeng Ling","doi":"10.1016/j.ins.2025.122752","DOIUrl":null,"url":null,"abstract":"<div><div>The present paper studies the self-triggered secure bipartite formation for MASs against Byzantine adversaries, where an asymptotic stabilization control protocol is designed. Compared with the existing work, a more practical situation is considered where the state of each subsystem is unmeasurable and the system output is transmitted to its neighbor agents instead of the state. First of all, a distributed bipartite formation variable (DBFV) is introduced and the bipartite formation control objective turns out to be a convergence problem of the DBFV. Then, the dynamic system of the DBFV is set up where a multiple disturbance (MD) is involved. Next, the algebraic relation between the MD and the DBFV is defined, based on which a distributed unknown input observer (DUIO) is designed such that the asymptotic convergence estimates of the DBFV and the MD are obtained. Further, a DUIO-based controller is established to realize the asymptotic stabilization of the DBFV dynamic system. Finally, a Byzantine detection and defense strategy is designed based on the self-triggered mechanism with discontinuous updates of the communication topology, where nonsmooth dynamics theory is introduced into the stability analysis of the DBFV system. The proposed strategy and controller are validated by a simulation example.</div></div>","PeriodicalId":51063,"journal":{"name":"Information Sciences","volume":"726 ","pages":"Article 122752"},"PeriodicalIF":6.8000,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Self-triggered secure bipartite formation for MASs against byzantine attacks: A distributed unknown input observer approach\",\"authors\":\"Younan Zhao , Fanglai Zhu , Xufeng Ling\",\"doi\":\"10.1016/j.ins.2025.122752\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The present paper studies the self-triggered secure bipartite formation for MASs against Byzantine adversaries, where an asymptotic stabilization control protocol is designed. Compared with the existing work, a more practical situation is considered where the state of each subsystem is unmeasurable and the system output is transmitted to its neighbor agents instead of the state. First of all, a distributed bipartite formation variable (DBFV) is introduced and the bipartite formation control objective turns out to be a convergence problem of the DBFV. Then, the dynamic system of the DBFV is set up where a multiple disturbance (MD) is involved. Next, the algebraic relation between the MD and the DBFV is defined, based on which a distributed unknown input observer (DUIO) is designed such that the asymptotic convergence estimates of the DBFV and the MD are obtained. Further, a DUIO-based controller is established to realize the asymptotic stabilization of the DBFV dynamic system. Finally, a Byzantine detection and defense strategy is designed based on the self-triggered mechanism with discontinuous updates of the communication topology, where nonsmooth dynamics theory is introduced into the stability analysis of the DBFV system. The proposed strategy and controller are validated by a simulation example.</div></div>\",\"PeriodicalId\":51063,\"journal\":{\"name\":\"Information Sciences\",\"volume\":\"726 \",\"pages\":\"Article 122752\"},\"PeriodicalIF\":6.8000,\"publicationDate\":\"2025-10-03\",\"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/S0020025525008886\",\"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}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Information Sciences","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0020025525008886","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}
Self-triggered secure bipartite formation for MASs against byzantine attacks: A distributed unknown input observer approach
The present paper studies the self-triggered secure bipartite formation for MASs against Byzantine adversaries, where an asymptotic stabilization control protocol is designed. Compared with the existing work, a more practical situation is considered where the state of each subsystem is unmeasurable and the system output is transmitted to its neighbor agents instead of the state. First of all, a distributed bipartite formation variable (DBFV) is introduced and the bipartite formation control objective turns out to be a convergence problem of the DBFV. Then, the dynamic system of the DBFV is set up where a multiple disturbance (MD) is involved. Next, the algebraic relation between the MD and the DBFV is defined, based on which a distributed unknown input observer (DUIO) is designed such that the asymptotic convergence estimates of the DBFV and the MD are obtained. Further, a DUIO-based controller is established to realize the asymptotic stabilization of the DBFV dynamic system. Finally, a Byzantine detection and defense strategy is designed based on the self-triggered mechanism with discontinuous updates of the communication topology, where nonsmooth dynamics theory is introduced into the stability analysis of the DBFV system. The proposed strategy and controller are validated by a simulation example.
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.