Filtering and smoothing estimation algorithms from uncertain nonlinear observations with time-correlated additive noise and random deception attacks-Reference-Cited by-同舟云学术

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Filtering and smoothing estimation algorithms from uncertain nonlinear observations with time-correlated additive noise and random deception attacks

Published:2024-03-19 Issue:10 Volume:55 Page:2023-2035
ISSN:0020-7721
Container-title:International Journal of Systems Science
language:en
Short-container-title:International Journal of Systems Science

Author:

Caballero-Águila R.¹,Hu J.²,Linares-Pérez J.³

Affiliation:

1. Departamento de Estadística, Universidad de Jaén, Jaén, Spain

2. Key Laboratory of Advanced Manufacturing and Intelligent Technology, Ministry of Education, Harbin University of Science and Technology, Harbin, People's Republic of China

3. Departamento de Estadística, Universidad de Granada, Granada, Spain

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207721.2024.2328781

Reference28 articles.

1. Two Compensation Strategies for Optimal Estimation in Sensor Networks with Random Matrices, Time-Correlated Noises, Deception Attacks and Packet Losses

2. Distributed fusion filtering for uncertain systems with coupled noises, random delays and packet loss prediction compensation

3. Quadratic estimation for stochastic systems in the presence of random parameter matrices, time-correlated additive noise and deception attacks

4. Least-squares estimators for systems with stochastic sensor gain degradation, correlated measurement noises and delays in transmission modelled by Markov chains

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