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

IF 6.8 1区 计算机科学 0 COMPUTER SCIENCE, INFORMATION SYSTEMS
Younan Zhao , Fanglai Zhu , Xufeng Ling
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引用次数: 0

摘要

本文研究了针对拜占庭对手的质量自触发安全二部形成问题,设计了一种渐近稳定控制协议。与现有的工作相比,考虑了更实际的情况,即每个子系统的状态不可测量,系统输出传递给相邻的代理而不是状态。首先,引入分布式二部形成变量(DBFV),将二部形成控制目标转化为分布式二部形成变量的收敛问题。然后,建立了涉及多重干扰的DBFV动态系统。其次,定义了MD与DBFV之间的代数关系,在此基础上设计了分布式未知输入观测器(DUIO),得到了DBFV和MD的渐近收敛估计。在此基础上,建立了基于duio的控制器,实现了DBFV动态系统的渐近镇定。最后,设计了一种基于通信拓扑不连续更新的自触发机制的拜占庭式检测与防御策略,并将非光滑动力学理论引入DBFV系统的稳定性分析。通过仿真算例验证了所提策略和控制器的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
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来源期刊
Information Sciences
Information Sciences 工程技术-计算机:信息系统
CiteScore
14.00
自引率
17.30%
发文量
1322
审稿时长
10.4 months
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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