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Design of Distributed Fusion Predictor and Filter without Feedback for Nonlinear System with Correlated Noises and Random Parameter Matrices Cover

Design of Distributed Fusion Predictor and Filter without Feedback for Nonlinear System with Correlated Noises and Random Parameter Matrices

Measurement Science Review
Volume 22 (2022): Issue 1 (February 2022)
By: Man-lu Liu,  Rui Lin,  Jian-wen Huo,  Li-guo Tan,  Qing Ling and  Eugene Yuryevich Zybin  
Open Access
|Jan 2022

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DOI: https://doi.org/10.2478/msr-2022-0003 | Journal eISSN: 1335-8871
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Language: English
Page range: 17 - 31
Submitted on: Sep 13, 2021
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Accepted on: Nov 30, 2021
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Published on: Jan 21, 2022
Published by: Slovak Academy of Sciences, Institute of Measurement Science
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open
Keywords:
nonlinear stochastic uncertain system,
distributed fusion,
state estimation
Related subjects:
Engineering,
Electrical engineering,
Control engineering, metrology and testing

© 2022 Man-lu Liu, Rui Lin, Jian-wen Huo, Li-guo Tan, Qing Ling, Eugene Yuryevich Zybin, published by Slovak Academy of Sciences, Institute of Measurement Science
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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