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Gaussian Recursive Filter for Nonlinear Systems with Finite-step Correlated Noises and Packet Dropout Compensations Cover

Gaussian Recursive Filter for Nonlinear Systems with Finite-step Correlated Noises and Packet Dropout Compensations

Measurement Science Review
Volume 20 (2020): Issue 2 (April 2020)
By: Li-Guo Tan,  Cheng Xu,  Yu-Fei Wang,  Hao-Nan Wei,  Kai Zhao and  Shen-Min Song  
Open Access
|Jun 2020

Authors

Li-Guo Tan

Research Center of Basic Space Science, Harbin Institute of Technology, Harbin, China

Cheng Xu

xch2000_1980@163.com

Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory, Beijing, China

Yu-Fei Wang

Beijing Electro-mechanical Engineering Institute, Beijing, China

Hao-Nan Wei

Beijing Electro-mechanical Engineering Institute, Beijing, China

Kai Zhao

1014553342@qq.com

Control Science and Engineering, Harbin Institute of Technology, Harbin, China

Shen-Min Song

Control Science and Engineering, Harbin Institute of Technology, Harbin, China
DOI: https://doi.org/10.2478/msr-2020-0011 | Journal eISSN: 1335-8871
Journal RSS Feed
Language: English
Page range: 80 - 92
Submitted on: Oct 10, 2019
Accepted on: Apr 30, 2020
Published on: Jun 2, 2020
Published by: Slovak Academy of Sciences, Institute of Measurement Science
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open
Keywords:
Gaussian recursive filter,
dropout compensations,
Gaussian approximation,
numerical implementation
Related subjects:
Engineering,
Electrical engineering,
Control engineering, metrology and testing

© 2020 Li-Guo Tan, Cheng Xu, Yu-Fei Wang, Hao-Nan Wei, Kai Zhao, Shen-Min Song, published by Slovak Academy of Sciences, Institute of Measurement Science
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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