Xiaotao Zhou , Jieqing Tan , Lulu Li , Yangang Yao , Xu Zhang
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引用次数: 0
Abstract
This paper addresses the secure quasi-synchronization issue of heterogeneous complex networks (HCNs) under aperiodic denial-of-service (DoS) attacks with dynamic event-triggered impulsive scheme (ETIS). The heterogeneity of networks and the aperiodic DoS attacks, which hinder communication channels and synchronization goals, present challenges to the analysis of secure quasi-synchronization. The ETIS leverages impulsive control and dynamic event-triggered scheme (ETS) to handle the network heterogeneity and the DoS attacks. We give specific bounds on the attack duration and frequency that the network can endure, and obtain synchronization criteria that relate to event parameters, attack duration, attack frequency, and impulsive gain by the variation of parameter formula and recursive methods. Moreover, we prove that the dynamic ETS significantly reduces the controller updates, saves energy without sacrificing the system decay rate, and prevents the Zeno phenomenon. Finally, we validate our control scheme with a numerical example.
本文利用动态事件触发脉冲方案(ETIS)解决了异构复杂网络(HCN)在非周期性拒绝服务(DoS)攻击下的安全准同步问题。网络的异构性和非周期性 DoS 攻击阻碍了通信通道和同步目标,给安全准同步分析带来了挑战。ETIS 利用脉冲控制和动态事件触发方案(ETS)来处理网络异构性和 DoS 攻击。我们给出了网络可承受攻击持续时间和频率的具体界限,并通过参数公式变化和递归方法获得了与事件参数、攻击持续时间、攻击频率和脉冲增益相关的同步准则。此外,我们还证明了动态 ETS 能显著减少控制器更新,在不牺牲系统衰减率的情况下节省能量,并防止泽诺现象。最后,我们通过一个数值实例验证了我们的控制方案。
期刊介绍:
ISA Transactions serves as a platform for showcasing advancements in measurement and automation, catering to both industrial practitioners and applied researchers. It covers a wide array of topics within measurement, including sensors, signal processing, data analysis, and fault detection, supported by techniques such as artificial intelligence and communication systems. Automation topics encompass control strategies, modelling, system reliability, and maintenance, alongside optimization and human-machine interaction. The journal targets research and development professionals in control systems, process instrumentation, and automation from academia and industry.