Layered Synchronization and Identification of Uncertain Delayed Hierarchical Networks
This paper investigates the layered synchronization and identification of uncertain delayed hierarchical networks, featured by highlights in three aspects: first, the presentation of a multilayered delayed network model, which can be regarded as a 3D stereochemical structure in compliance with the e...
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Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2021/8890949 |
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doaj-ba2aff9c2652472aadb565824c4f50172021-02-15T12:53:10ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472021-01-01202110.1155/2021/88909498890949Layered Synchronization and Identification of Uncertain Delayed Hierarchical NetworksYuan Chai0Hudong Zhang1School of Mathematics and Physics, Shanghai University of Electric Power, Shanghai 201300, ChinaSchool of Mathematics and Physics, Shanghai University of Electric Power, Shanghai 201300, ChinaThis paper investigates the layered synchronization and identification of uncertain delayed hierarchical networks, featured by highlights in three aspects: first, the presentation of a multilayered delayed network model, which can be regarded as a 3D stereochemical structure in compliance with the ever-developing trend of hierarchical network modeling structure; second, the design of a multi-identification scheme combined with uncertain delayed hierarchical networks, which matches the unknown and hierarchical properties of the proposed networks; and third, the construction of a layered control method of Lyapunov function, which synthesizes the factors of the unknown, time delay and hierarchy. Based on these points, the laws of layered synchronization between drive hierarchical networks (DHNs) and response hierarchical networks (RHNs) are derived, the dual identification criteria for monitoring topological structures and identifying system parameters, respectively, are provided, and the hierarchical multiformity of the proposed method is validated through abundant numerical simulations in the end.http://dx.doi.org/10.1155/2021/8890949 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yuan Chai Hudong Zhang |
spellingShingle |
Yuan Chai Hudong Zhang Layered Synchronization and Identification of Uncertain Delayed Hierarchical Networks Mathematical Problems in Engineering |
author_facet |
Yuan Chai Hudong Zhang |
author_sort |
Yuan Chai |
title |
Layered Synchronization and Identification of Uncertain Delayed Hierarchical Networks |
title_short |
Layered Synchronization and Identification of Uncertain Delayed Hierarchical Networks |
title_full |
Layered Synchronization and Identification of Uncertain Delayed Hierarchical Networks |
title_fullStr |
Layered Synchronization and Identification of Uncertain Delayed Hierarchical Networks |
title_full_unstemmed |
Layered Synchronization and Identification of Uncertain Delayed Hierarchical Networks |
title_sort |
layered synchronization and identification of uncertain delayed hierarchical networks |
publisher |
Hindawi Limited |
series |
Mathematical Problems in Engineering |
issn |
1024-123X 1563-5147 |
publishDate |
2021-01-01 |
description |
This paper investigates the layered synchronization and identification of uncertain delayed hierarchical networks, featured by highlights in three aspects: first, the presentation of a multilayered delayed network model, which can be regarded as a 3D stereochemical structure in compliance with the ever-developing trend of hierarchical network modeling structure; second, the design of a multi-identification scheme combined with uncertain delayed hierarchical networks, which matches the unknown and hierarchical properties of the proposed networks; and third, the construction of a layered control method of Lyapunov function, which synthesizes the factors of the unknown, time delay and hierarchy. Based on these points, the laws of layered synchronization between drive hierarchical networks (DHNs) and response hierarchical networks (RHNs) are derived, the dual identification criteria for monitoring topological structures and identifying system parameters, respectively, are provided, and the hierarchical multiformity of the proposed method is validated through abundant numerical simulations in the end. |
url |
http://dx.doi.org/10.1155/2021/8890949 |
work_keys_str_mv |
AT yuanchai layeredsynchronizationandidentificationofuncertaindelayedhierarchicalnetworks AT hudongzhang layeredsynchronizationandidentificationofuncertaindelayedhierarchicalnetworks |
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1714866533262426112 |