Secure Consensus for Switched Multiagent Systems Under DoS Attacks: Hybrid Event-Triggered and Impulsive Control Approach

IF 10.5 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS IEEE Transactions on Cybernetics Pub Date : 2025-03-21 DOI:10.1109/TCYB.2025.3546923
Xin Wang;Zhuocheng Yin;Yan Lei;Tingwen Huang;Jürgen Kurths
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Abstract

This article aims at the leader-following secure consensus problem of nonlinear multiagent systems (MASs) with switching topologies, where the agents are not only suffered from the aperiodic malicious denial-of-service (DoS) attacks but also affected by instantaneous disturbance from the external environment. Due to the existing challenge of instantaneous disturbance about occurrence time being unknown, the impulsive-based switching network structure is put forward to tackle the impact of external instantaneous disturbance on MASs. Then, a novel hybrid event-triggered and impulsive control protocol is developed to guarantee that nonlinear MASs can resist DoS attacks and achieve the consensus control objective. Contrasted with the methods of continuous control, the developed hybrid event-triggered and impulsive control protocol using the discontinuous sampled state has certain merits saving control resources. Based on the Lyapunov theory, the stability of the closed-loop system is proven, and the Zeno behavior can be excluded successfully. An example is supplied to elicit the availability of the presented methodology.
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DoS 攻击下交换式多代理系统的安全共识:事件触发和脉冲控制混合方法
本文研究具有交换拓扑结构的非线性多智能体系统(MASs)的领导者跟随安全共识问题,其中智能体不仅遭受非周期性的恶意拒绝服务(DoS)攻击,而且还受到外部环境的瞬时干扰。针对瞬时扰动发生时间未知的挑战,提出了基于脉冲的交换网络结构来解决外部瞬时扰动对质量的影响。然后,提出了一种新的事件触发和脉冲混合控制协议,以保证非线性质量能够抵抗DoS攻击并实现共识控制目标。与连续控制方法相比,所提出的基于不连续采样状态的事件触发与脉冲混合控制协议具有节约控制资源的优点。基于Lyapunov理论,证明了闭环系统的稳定性,并成功地排除了Zeno行为。给出了一个例子来说明所提出方法的有效性。
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来源期刊
IEEE Transactions on Cybernetics
IEEE Transactions on Cybernetics COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-COMPUTER SCIENCE, CYBERNETICS
CiteScore
25.40
自引率
11.00%
发文量
1869
期刊介绍: The scope of the IEEE Transactions on Cybernetics includes computational approaches to the field of cybernetics. Specifically, the transactions welcomes papers on communication and control across machines or machine, human, and organizations. The scope includes such areas as computational intelligence, computer vision, neural networks, genetic algorithms, machine learning, fuzzy systems, cognitive systems, decision making, and robotics, to the extent that they contribute to the theme of cybernetics or demonstrate an application of cybernetics principles.
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