State-Observer-Based Event-Trigger Bipartite Consensus Secure Control for NMASs With Deception Attacks

IF 6.7 2区计算机科学 Q1 ENGINEERING, MULTIDISCIPLINARY

IEEE Transactions on Network Science and Engineering Pub Date : 2024-07-31 DOI:10.1109/TNSE.2024.3436085

Shuai Sui;Dongyu Shen;Shaocheng Tong;C. L. Philip Chen

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引用次数: 0

Abstract

Deception attacks are a big danger to the security and durability of multi-agent systems (MASs). This article introduces a new technique to tackle the problem of deception attacks in nonlinear multi-agent systems (NMASs). The system can be attacked through sensors and actuators, which may lead to incomplete system data transmission and render the system state inaccessible for control design. To overcome this challenge, a fuzzy state observer is constructed to estimate the system state after the attacks, and the fuzzy logic system (FLS) is used to handle unfamiliar nonlinearities. The Nussbaum function is proposed to deal with unknown control directions and reduces system complexity. In addition, considering that there are both cooperative and competitive relationships between agents, event-triggered bipartite consensus fuzzy security adaptive control is given to mitigate the effects of deception attacks and alleviate communication resources. A based-state-observer event-triggered bipartite consensus NMASs adaptive fuzzy security control is given to achieve asymptotic output consistency after the attacks. Using Lyapunov theory, it has been demonstrated that all signals within the closed-loop system remain bounded. Finally, the test simulations show that the suggested approach can maintain the security and stability of the system during deception attacks with minimal data and resources.

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基于状态观测器的事件触发式双方共识安全控制，适用于存在欺骗攻击的 NMAS

欺骗攻击对多代理系统（MASs）的安全性和持久性构成了巨大威胁。本文介绍了一种解决非线性多代理系统（NMAS）中欺骗攻击问题的新技术。系统可能通过传感器和执行器受到攻击，这可能导致系统数据传输不完整，使系统状态无法用于控制设计。为了克服这一难题，我们构建了一个模糊状态观测器来估计攻击后的系统状态，并使用模糊逻辑系统（FLS）来处理不熟悉的非线性问题。提出了努斯鲍姆函数来处理未知的控制方向，并降低了系统的复杂性。此外，考虑到代理之间既有合作关系又有竞争关系，给出了事件触发的双方位共识模糊安全自适应控制，以减轻欺骗攻击的影响并缓解通信资源。给出了一种基于状态观测器的事件触发双方共识 NMASs 自适应模糊安全控制，以实现攻击后的渐近输出一致性。利用 Lyapunov 理论，证明了闭环系统内的所有信号都保持有界。最后，测试仿真表明，所建议的方法能以最少的数据和资源在欺骗攻击期间保持系统的安全性和稳定性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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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.