信息物理系统
计算机科学
可观测性
服务拒绝攻击
协方差
卡尔曼滤波器
网络数据包
概率逻辑
传输(电信)
观察员(物理)
协方差交集
分布式计算
转化(遗传学)
控制理论(社会学)
事件(粒子物理)
实时计算
计算机网络
扩展卡尔曼滤波器
数学
人工智能
控制(管理)
化学
互联网
万维网
物理
操作系统
统计
基因
电信
量子力学
生物化学
应用数学
作者
Yan Liu,Guang‐Hong Yang
出处
期刊:IEEE transactions on cybernetics
[Institute of Electrical and Electronics Engineers]
日期:2022-05-01
卷期号:52 (5): 3620-3631
被引量:43
标识
DOI:10.1109/tcyb.2020.3015507
摘要
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.
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