This article investigates the event-triggered distributed state estimation problem for a class of cyber-physical systems (CPSs) with multiple transmission channels under denial-of-service (DoS) attacks. First, an observer-based event-triggered transmission scheme is proposed to improve the transmission efficiency, and the corresponding distributed Kalman filter is designed to estimate the system states. Under the collective observability condition, a relationship between estimation error covariance, attack intensity, and transmission efficiency is established by utilizing the covariance intersection fusion method and the property of matrix congruent transformation rank. The important features that distinguish our work from others are that the considered DoS attacks compromise each channel independently and do not have to satisfy the probabilistic property of the packet loss process. Furthermore, an event-triggered communication scheme is considered to improve the utilization of network resources between filters, and a sufficient condition for the parameter design is given which takes into account the influence of DoS attacks. Finally, simulation results are provided to verify the effectiveness of the proposed methods.

中文翻译：

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DoS 攻击下信息物理系统的事件触发分布式状态估计


本文研究了一类具有多个传输通道的网络物理系统 (CPS) 在拒绝服务 (DoS) 攻击下的事件触发分布式状态估计问题。首先，提出了基于观测器的事件触发传输方案以提高传输效率，并设计了相应的分布式卡尔曼滤波器来估计系统状态。在集体可观测性条件下，利用协方差交集融合方法和矩阵同余变换秩的性质，建立了估计误差协方差、攻击强度和传输效率之间的关系。我们的工作与其他工作不同的重要特征是，所考虑的 DoS 攻击独立地危害每个通道，并且不必满足丢包过程的概率属性。此外，还考虑了事件触发的通信方案来提高过滤器之间网络资源的利用率，并给出了考虑DoS攻击影响的参数设计的充分条件。最后，提供仿真结果来验证所提方法的有效性。