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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Main Authors: Yuan Chai, Hudong Zhang
Format: Article
Language:English
Published: Hindawi Limited 2021-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2021/8890949
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spelling 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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