Event-triggered filter design for nonlinear cyber-physical systems subject to deception attacks.
Event-triggered filter design for nonlinear cyber-physical systems subject to deception attacks.
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DOI：
10.1016/j.isatra.2019.02.036
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发表时间：
2020-09
期刊：
影响因子：
7.3
通讯作者：
Z. Gu;Xiaohong Zhou;Zhang Tao;Fan Yang;M. Shen
中科院分区：
文献类型：
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作者：
Z. Gu;Xiaohong Zhou;Zhang Tao;Fan Yang;M. Shen
针对基于模糊模型的网络物理系统，提出了一种基于事件触发的网络攻击过滤器设计方法。传统的事件触发机制（ETM）在采样数据受到不可预测的外部扰动而发生快速变化时，可能会触发伪事件。为了避免虚假的决策数据发布的ETM提出了一种新的。此外，通信网络易受恶意攻击者的攻击。在这种情况下，一个新的弹性过滤器的设计，以确保安全性。给出了滤波误差系统渐近稳定的充分条件。数值算例表明了所提结果的有效性。
This paper is concerned with an event-triggered filter design for fuzzy-model-based cyber–physical systems with cyber-attacks. Spurious events may be triggered under the conventional event-triggered mechanism (ETM) when the sampling data has a rapid change arising from unpredicted external disturbance. To avoid spurious decisions on data releasing a new ETM is proposed. Furthermore, the communication network is vulnerable to attacks by malicious attackers. Under this scenario, a new resilient filter is designed to ensure the security. Sufficient conditions are established to make the filtering error system asymptotically stable. A numerical example is provided to show the effectiveness of the proposed results.