Synchronization analysis and control of multi-weighted complex networks with multiple delays

Sun, Hao; Li, Ning; Chen, Zhongtang; Jia, Xing

doi:10.23919/chicc.2019.8865773

Cited by 2 publications

(2 citation statements)

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“…And each mode of transportation (such as air, rail, road, water, and pipeline) connecting any two regions can be abstracted to represent each side of a complex network. [37] In order to make the model better reflect the structural properties of the actual system, it is considered that the same network can be split many times, that is, the subnetwork obtained by the first split is regarded as a complete network, and then the subnetwork is split to a more detailed split result. We fully consider delay and weight in modeling and further improve the 090507-2 model in this paper.…”

Section: Model Description and Preliminariesmentioning

confidence: 99%

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Dynamic modeling and aperiodically intermittent strategy for adaptive finite-time synchronization control of the multi-weighted complex transportation networks with multiple delays*

Li¹,

Sun²,

Xin³

et al. 2021

Chinese Phys. B

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The idea of network splitting according to time delay and weight is introduced. Based on the cyber physical systems (CPS), a class of multi-weighted complex transportation networks with multiple delays is modeled. The finite-time synchronization of the proposed complex transportation networks model is studied systematically. On the basis of the theory of stability, the technique of adaptive control, aperiodically intermittent control and finite-time control, the aperiodically intermittent adaptive finite-time synchronization controller is designed. The controller designed in this paper is beneficial for understanding the synchronization in multi-weighted complex transportation networks with multiple delays. In addition, the conditions for the existence of finite time synchronization have been discussed in detail. And the specific value of the settling finite time for synchronization is obtained. Moreover, the outer coupling configuration matrices are not required to be irreducible or symmetric. Finally, simulation results of the finite-time synchronization problem are given to illustrate the correctness of the results obtained.

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Section: Model Description and Preliminariesmentioning

confidence: 99%

“…In Ref. [37], the model of complex networks with multi-delay and multi-weight is preliminarily es-tablished. A simple linear feedback controller is designed using the technique of linear matrix inequalities.…”

Section: Introductionmentioning

confidence: 99%

Dynamic modeling and aperiodically intermittent strategy for adaptive finite-time synchronization control of the multi-weighted complex transportation networks with multiple delays*

Li¹,

Sun²,

Xin³

et al. 2021

Chinese Phys. B

Self Cite

View full text Add to dashboard Cite

show abstract

Dynamic modelling of uncertain multiple coupled delays complex networks and its robust adaptive tracking control

2023

2023 3rd International Conference on Neural Networks, Information and Communication Engineering (NNICE)

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Synchronization analysis and control of multi-weighted complex networks with multiple delays

Cited by 2 publications

References 21 publications

Dynamic modeling and aperiodically intermittent strategy for adaptive finite-time synchronization control of the multi-weighted complex transportation networks with multiple delays*

Dynamic modeling and aperiodically intermittent strategy for adaptive finite-time synchronization control of the multi-weighted complex transportation networks with multiple delays*

Dynamic modelling of uncertain multiple coupled delays complex networks and its robust adaptive tracking control

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