Cubature Kalman fusion filtering under stochastic communication protocol: Tackling dynamical bias, scheduling probability and channel noise-Reference-Cited by-同舟云学术

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Cubature Kalman fusion filtering under stochastic communication protocol: Tackling dynamical bias, scheduling probability and channel noise

Published:2025-01 Issue: Volume:113 Page:102610
ISSN:1566-2535
Container-title:Information Fusion
language:en
Short-container-title:Information Fusion

Author:

Li Jiaxing,Wang Zidong^ORCID,Hu Jun

Funder

Natural Science Foundation of Heilongjiang Province

High-end Foreign Experts Recruitment Plan of China

Horizon 2020 Framework Programme

Engineering and Physical Sciences Research Council

Royal Society

Alexander von Humboldt-Stiftung

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference48 articles.

1. Secure state estimation and control of cyber–physical systems: A survey;Ding;IEEE Trans. Syst. Man Cybern.: Syst.,2021

2. Distributed event-triggered estimation over sensor networks: A survey;Ge;IEEE Trans. Cybern.,2020

3. A mobile sensing approach to distributed consensus filtering of 2D stochastic nonlinear parabolic systems with disturbances;Qian;Syst. Sci. Control Eng.,2023

4. Maximum correntropy Kalman filtering for non-Gaussian systems with state saturations and stochastic nonlinearities;Shen;IEEE/CAA J. Autom. Sin.,2023

5. Distributed recursive filtering for multi-rate uniform sampling systems with packet losses in sensor networks;Shen;Int. J. Syst. Sci.,2023

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