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Erschienen in: Neural Computing and Applications 1/2019

27.04.2017 | Original Article

Lag synchronization analysis of general complex networks with multiple time-varying delays via pinning control strategy

verfasst von: Xin Wang, Kun She, Shouming Zhong, Huilan Yang

Erschienen in: Neural Computing and Applications | Ausgabe 1/2019

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Abstract

This paper focuses on the lag synchronization issue for a kind of general complex networks with multiple time-varying delays via the pinning control strategy. By applying the Lyaponov functional theory and mathematical analysis techniques, sufficient verifiable criteria that depend on both intrinsic time-varying delay and coupled time-varying delay are obtained to achieve lag synchronization of the networks. Moreover, the coupling configuration matrices are not required to be symmetric or irreducible, and the minimum number of pinned nodes is determined by node dynamics, coupling matrices, and the designed parameter matrices. Finally, a numerical example is given to illustrate the feasibility of the theoretical results.

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Metadaten
Titel
Lag synchronization analysis of general complex networks with multiple time-varying delays via pinning control strategy
verfasst von
Xin Wang
Kun She
Shouming Zhong
Huilan Yang
Publikationsdatum
27.04.2017
Verlag
Springer London
Erschienen in
Neural Computing and Applications / Ausgabe 1/2019
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-017-2978-8

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