Modified Particle Filters for Detection of False Data Injection Attacks and State Estimation in Networked Nonlinear Systems
Networked control systems which transfer data over communication networks may suffer from malicious cyber attacks by injecting false data to the transferred information. Such attacks can cause performance degradation of the closed-loop system and the filtering problem. The sequential importance samp...
Main Authors: | Nargess Sadeghzadeh-Nokhodberiz, Nader Meskin, Saeed Hasanzadeh |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2022-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9739668/ |
Similar Items
-
New Branching Filters With Explicit Negative Dependence
by: Michael A. Kouritzin, et al.
Published: (2020-01-01) -
Video face target detection and tracking algorithm based on nonlinear sequence Monte Carlo filtering technique
by: Du Yunming, et al.
Published: (2023-10-01) -
EFFICIENCY ANALYSIS OF EXTENDED KALMAN FILTERING, UNSCENTED KALMAN FILTERING AND UNSCENTED PARTICLE FILTERING
by: I. A. Kudryavtseva
Published: (2016-12-01) -
Image-Based Multi-Target Tracking through Multi-Bernoulli Filtering with Interactive Likelihoods
by: Anthony Hoak, et al.
Published: (2017-03-01) -
Particle filtering based semi-blind estimation for MIMO-OFDM time-varying channel
by: JING Yuan, et al.
Published: (2007-01-01)