Distributed trust‐based unscented Kalman filter for non‐linear state estimation under cyber‐attacks: The application of manoeuvring target tracking over wireless sensor networks
Abstract This paper is concerned with secure state estimation of non‐linear systems under malicious cyber‐attacks. The application of target tracking over a wireless sensor network is investigated. The existence of rotational manoeuvre in the target movement introduces non‐linear behaviour in the dy...
Main Authors: | Mahdieh Adeli, Majid Hajatipour, Mohammad Javad Yazdanpanah, Mohsen Shafieirad, Hamed Hashemi‐Dezaki |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-10-01
|
Series: | IET Control Theory & Applications |
Subjects: | |
Online Access: | https://doi.org/10.1049/cth2.12173 |
Similar Items
-
EFFICIENCY ANALYSIS OF EXTENDED KALMAN FILTERING, UNSCENTED KALMAN FILTERING AND UNSCENTED PARTICLE FILTERING
by: I. A. Kudryavtseva
Published: (2016-12-01) -
Detection of false data injection attacks using unscented Kalman filter
by: Nemanja ŽIVKOVIĆ, et al.
Published: (2018-05-01) -
Ensemble Kalman filter with the unscented transform
by: Luo, X, et al.
Published: (2009) -
Confronting combined cyber-attacks on collaborative DC microgrids using a communication protocols-based distributed unscented Kalman filter
by: Seyyed Mohammad Hosseini Rostami, et al.
Published: (2024-03-01) -
An Adaptive Unscented Kalman Filter for the Estimation of the Vehicle Velocity Components, Slip Angles, and Slip Ratios in Extreme Driving Manoeuvres
by: Aymen Alshawi, et al.
Published: (2024-01-01)