Distributed trust‐based unscented Kalman filter for non‐linear state estimation under cyber‐attacks: The application of manoeuvring target tracking over wireless sensor networks-Reference-Cited by-同舟云学术

Distributed trust‐based unscented Kalman filter for non‐linear state estimation under cyber‐attacks: The application of manoeuvring target tracking over wireless sensor networks

Published:2021-08-04 Issue:15 Volume:15 Page:1987-1998
ISSN:1751-8644
Container-title:IET Control Theory & Applications
language:en
Short-container-title:IET Control Theory & Appl

Author:

Adeli Mahdieh¹^ORCID,Hajatipour Majid¹^ORCID,Yazdanpanah Mohammad Javad²^ORCID,Shafieirad Mohsen¹^ORCID,Hashemi‐Dezaki Hamed¹³^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering University of Kashan Kashan Iran

2. School of Electrical and Computer Engineering and Control and Intelligent Processing Center of Excellence University of Tehran Tehran Iran

3. Regional Innovational Center for Electrical Engineering Faculty of Electrical Engineering University of West Bohemia Pilsen Czech

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Control and Optimization,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/cth2.12173

Reference34 articles.

1. Efficient resilient dynamic co‐estimation framework for cyber‐physical systems under sensor attacks

2. Distributed state estimation for a stochastic linear hybrid system over a sensor network

3. Trust-based distributed Kalman filtering for target tracking under malicious cyber attacks

4. Distributed Robust Filtering for Wireless Sensor Networks with Markov Switching Topologies and Deception Attacks

5. Adaptive consensus‐based distributed state estimator for non‐linear systems in the presence of multiplicative noise

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