Topology identification of two-layer unidirectional complex dynamical networks based on auxiliary system approach

Yingfei Wang; Xiaoqun Wu; Jinhu Lü

doi:10.1109/CCDC.2016.7531108

Topology identification of two-layer unidirectional complex dynamical networks based on auxiliary system approach

Yingfei Wang
, Xiaoqun Wu
, Jinhu Lü

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Scopus citations

Abstract

This paper investigates topology identification of two-layer unidirectional complex dynamical networks based on auxiliary-system approach. Particularly, consider the interested layer as response layer, the other layer as drive layer, then construct a auxiliary layer which is driven by the driving signal as an identical duplication of the response layer. Based on the theory of Barbalat's lemma, some control inputs and updating laws are designed so that nodes in the auxiliary layer reaches complete synchronization with their counterparts in the response layer and the unknown topology of the response layer can be adaptively identified, meanwhile, the drive layer and the response layer achieve generalized synchronization. Numerical simulations are provided to illustrate the effectiveness of the proposed method. We expect that the analysis in this paper could prompt attention and provide basic insight into further research on detecting the route and the source of rumor and pseudo news spreading.

Original language	English
Title of host publication	Proceedings of the 28th Chinese Control and Decision Conference, CCDC 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	883-887
Number of pages	5
ISBN (Electronic)	9781467397148
DOIs	https://doi.org/10.1109/CCDC.2016.7531108
State	Published - 3 Aug 2016
Externally published	Yes
Event	28th Chinese Control and Decision Conference, CCDC 2016 - Yinchuan, China Duration: 28 May 2016 → 30 May 2016

Publication series

Name	Proceedings of the 28th Chinese Control and Decision Conference, CCDC 2016

Conference

Conference	28th Chinese Control and Decision Conference, CCDC 2016
Country/Territory	China
City	Yinchuan
Period	28/05/16 → 30/05/16

Keywords

Topology identification
auxiliary-system approach
two-layer network

Access to Document

10.1109/CCDC.2016.7531108

Cite this

Wang, Y., Wu, X., & Lü, J. (2016). Topology identification of two-layer unidirectional complex dynamical networks based on auxiliary system approach. In Proceedings of the 28th Chinese Control and Decision Conference, CCDC 2016 (pp. 883-887). Article 7531108 (Proceedings of the 28th Chinese Control and Decision Conference, CCDC 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCDC.2016.7531108

Wang, Yingfei ; Wu, Xiaoqun ; Lü, Jinhu. / Topology identification of two-layer unidirectional complex dynamical networks based on auxiliary system approach. Proceedings of the 28th Chinese Control and Decision Conference, CCDC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 883-887 (Proceedings of the 28th Chinese Control and Decision Conference, CCDC 2016).

@inproceedings{f5ad11acad534fefa844953022781d38,

title = "Topology identification of two-layer unidirectional complex dynamical networks based on auxiliary system approach",

abstract = "This paper investigates topology identification of two-layer unidirectional complex dynamical networks based on auxiliary-system approach. Particularly, consider the interested layer as response layer, the other layer as drive layer, then construct a auxiliary layer which is driven by the driving signal as an identical duplication of the response layer. Based on the theory of Barbalat's lemma, some control inputs and updating laws are designed so that nodes in the auxiliary layer reaches complete synchronization with their counterparts in the response layer and the unknown topology of the response layer can be adaptively identified, meanwhile, the drive layer and the response layer achieve generalized synchronization. Numerical simulations are provided to illustrate the effectiveness of the proposed method. We expect that the analysis in this paper could prompt attention and provide basic insight into further research on detecting the route and the source of rumor and pseudo news spreading.",

keywords = "Topology identification, auxiliary-system approach, two-layer network",

author = "Yingfei Wang and Xiaoqun Wu and Jinhu L{\"u}",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 28th Chinese Control and Decision Conference, CCDC 2016 ; Conference date: 28-05-2016 Through 30-05-2016",

year = "2016",

month = aug,

day = "3",

doi = "10.1109/CCDC.2016.7531108",

language = "英语",

series = "Proceedings of the 28th Chinese Control and Decision Conference, CCDC 2016",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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address = "美国",

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Wang, Y, Wu, X & Lü, J 2016, Topology identification of two-layer unidirectional complex dynamical networks based on auxiliary system approach. in Proceedings of the 28th Chinese Control and Decision Conference, CCDC 2016., 7531108, Proceedings of the 28th Chinese Control and Decision Conference, CCDC 2016, Institute of Electrical and Electronics Engineers Inc., pp. 883-887, 28th Chinese Control and Decision Conference, CCDC 2016, Yinchuan, China, 28/05/16. https://doi.org/10.1109/CCDC.2016.7531108

Topology identification of two-layer unidirectional complex dynamical networks based on auxiliary system approach. / Wang, Yingfei; Wu, Xiaoqun; Lü, Jinhu.
Proceedings of the 28th Chinese Control and Decision Conference, CCDC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 883-887 7531108 (Proceedings of the 28th Chinese Control and Decision Conference, CCDC 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Topology identification of two-layer unidirectional complex dynamical networks based on auxiliary system approach

AU - Wang, Yingfei

AU - Wu, Xiaoqun

AU - Lü, Jinhu

PY - 2016/8/3

Y1 - 2016/8/3

N2 - This paper investigates topology identification of two-layer unidirectional complex dynamical networks based on auxiliary-system approach. Particularly, consider the interested layer as response layer, the other layer as drive layer, then construct a auxiliary layer which is driven by the driving signal as an identical duplication of the response layer. Based on the theory of Barbalat's lemma, some control inputs and updating laws are designed so that nodes in the auxiliary layer reaches complete synchronization with their counterparts in the response layer and the unknown topology of the response layer can be adaptively identified, meanwhile, the drive layer and the response layer achieve generalized synchronization. Numerical simulations are provided to illustrate the effectiveness of the proposed method. We expect that the analysis in this paper could prompt attention and provide basic insight into further research on detecting the route and the source of rumor and pseudo news spreading.

AB - This paper investigates topology identification of two-layer unidirectional complex dynamical networks based on auxiliary-system approach. Particularly, consider the interested layer as response layer, the other layer as drive layer, then construct a auxiliary layer which is driven by the driving signal as an identical duplication of the response layer. Based on the theory of Barbalat's lemma, some control inputs and updating laws are designed so that nodes in the auxiliary layer reaches complete synchronization with their counterparts in the response layer and the unknown topology of the response layer can be adaptively identified, meanwhile, the drive layer and the response layer achieve generalized synchronization. Numerical simulations are provided to illustrate the effectiveness of the proposed method. We expect that the analysis in this paper could prompt attention and provide basic insight into further research on detecting the route and the source of rumor and pseudo news spreading.

KW - Topology identification

KW - auxiliary-system approach

KW - two-layer network

UR - https://www.scopus.com/pages/publications/84983749013

U2 - 10.1109/CCDC.2016.7531108

DO - 10.1109/CCDC.2016.7531108

M3 - 会议稿件

AN - SCOPUS:84983749013

T3 - Proceedings of the 28th Chinese Control and Decision Conference, CCDC 2016

SP - 883

EP - 887

BT - Proceedings of the 28th Chinese Control and Decision Conference, CCDC 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 28th Chinese Control and Decision Conference, CCDC 2016

Y2 - 28 May 2016 through 30 May 2016

ER -

Wang Y, Wu X, Lü J. Topology identification of two-layer unidirectional complex dynamical networks based on auxiliary system approach. In Proceedings of the 28th Chinese Control and Decision Conference, CCDC 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 883-887. 7531108. (Proceedings of the 28th Chinese Control and Decision Conference, CCDC 2016). doi: 10.1109/CCDC.2016.7531108

Topology identification of two-layer unidirectional complex dynamical networks based on auxiliary system approach

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