Event‐triggered attack detection and state estimation based on Gaussian mixture model

Event‐triggered attack detection and state estimation based on Gaussian mixture model

Abstract Under the framework of event‐triggered transmission mechanism, the problem of attack detection and state estimation of multi‐sensor linear time‐invariant systems under static attacks is considered. First, for each transmission channel, the sensor collects measurement information according t...

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Bibliographic Details
Main Authors: Lu Jiang, Di Jia, Jiping Xu, Cui Zhu, Kun Liu, Yuanqing Xia
Format: Article
Language:English
Published: Wiley 2024-12-01
Series:IET Cyber-Physical Systems
Subjects:
attack detection
energy consumption
event triggered
Gaussian mixture model
Kalman filters
Online Access:https://doi.org/10.1049/cps2.12061
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