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Encoding-decoding-based finite-horizon recursive secure state estimation for dynamic coupled networks with random coupling

delete2022-08-01
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PRE
AI
X
Xueyang Meng
柏
柏建军 (Jianjun Bai)
Y
Yun Chen *
薛
薛安克 (Anke Xue)
DOI:10.1016/j.neucom.2022.05.063delete
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摘要

摘要

En 中文
The recursive secure state estimator design issue is investigated in this article for a class of dynamic coupled networks (DCNs) through the encoding-decoding scheme. The random variables distributed over specified intervals are utilized to depict the stochastically varying coupling strengths. For the sake of facilitating the data transmission, saving network resources and cutting down security risks, the twodescription coding scheme (TDCS) is employed in the communication channels. Based on the TDCS, the encoders are installed at two independent communication channels, and the packet loss phenomena are considered in two encoder-to-decoder channels. The random denial of service (DoS) attack is taken into account when the decoded data are transmitted to the estimator through the shared communication networks. By recursively dealing with two coupled backward Riccati difference equations (CBRDEs), the desired finite-horizon H1 state estimator gain matrix (EGM) can be determined. Finally, a numerical example is exhibited to illustrate the efficiency of the designed finite-horizon secure state estimator.(c) 2022 Elsevier B.V. All rights reserved.
Keyword:
Dynamic coupled networks (DCNs)
Randomly varying coupling strengths
Two-description coding scheme (TDCS)
Finite-horizon recursive secure state
estimation
Coupled backward Riccati difference
equation (CBRDE)

期刊

Neurocomputing 封面图
Neurocomputing
IF:
6.5
论文数:
2.5W
被引数:
6.5W

机构

H
Hangzhou Dianzi University
学者数:
1.3W
论文数: 9.6K
被引数: 7.5K
引用论文

引用论文

State estimation over packet dropping networks using multiple description coding
err2006-09-01
err77
errOAAI
errJin, Zhipu; Gupta, Vijay; Murray, Richard M.
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