Event-triggered pinning synchronization of stochastic complex dynamical networks

Chaoqun Guo; Hongqian Lu; Yue Hu; Xingping Liu; Meiyu Sun

doi:10.1109/CCDC.2019.8832657

Event-triggered pinning synchronization of stochastic complex dynamical networks

Chaoqun Guo
, Hongqian Lu^*
, Yue Hu
, Xingping Liu
, Meiyu Sun

^*Corresponding author for this work

Qilu University of Technology
Shandong Management University

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

1 Scopus citations

Abstract

This article mainly investigates the synchronization of stochastic complex dynamical networks. In order to attain required synchronization behavior of the complex dynamical networks, this paper designs a pinning control strategy controlling a part of nodes. Furthermore, combined with the event-triggered mechanism, the frequency of the communication is reduced. A framework of complex dynamical network is established, which reflects the nonlinearity and randomness of the numerous nodes of complex networks. By employing the Lyapunov-Krasovskii method, the stability criteria which guarantees the required synchronization of complex dynamical network is derived. The numerical example is given to show the effectiveness of the proposed method.

Original language	English
Title of host publication	Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1297-1301
Number of pages	5
ISBN (Electronic)	9781728101057
DOIs	https://doi.org/10.1109/CCDC.2019.8832657
State	Published - Jun 2019
Externally published	Yes
Event	31st Chinese Control and Decision Conference, CCDC 2019 - Nanchang, China Duration: 3 Jun 2019 → 5 Jun 2019

Publication series

Name	Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019

Conference

Conference	31st Chinese Control and Decision Conference, CCDC 2019
Country/Territory	China
City	Nanchang
Period	3/06/19 → 5/06/19

Keywords

Complex Dynamical Network
Event-triggered Control
Pinning Control
Synchronization

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10.1109/CCDC.2019.8832657

Cite this

Guo, C., Lu, H., Hu, Y., Liu, X., & Sun, M. (2019). Event-triggered pinning synchronization of stochastic complex dynamical networks. In Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019 (pp. 1297-1301). Article 8832657 (Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCDC.2019.8832657

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title = "Event-triggered pinning synchronization of stochastic complex dynamical networks",

abstract = "This article mainly investigates the synchronization of stochastic complex dynamical networks. In order to attain required synchronization behavior of the complex dynamical networks, this paper designs a pinning control strategy controlling a part of nodes. Furthermore, combined with the event-triggered mechanism, the frequency of the communication is reduced. A framework of complex dynamical network is established, which reflects the nonlinearity and randomness of the numerous nodes of complex networks. By employing the Lyapunov-Krasovskii method, the stability criteria which guarantees the required synchronization of complex dynamical network is derived. The numerical example is given to show the effectiveness of the proposed method.",

keywords = "Complex Dynamical Network, Event-triggered Control, Pinning Control, Synchronization",

author = "Chaoqun Guo and Hongqian Lu and Yue Hu and Xingping Liu and Meiyu Sun",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 31st Chinese Control and Decision Conference, CCDC 2019 ; Conference date: 03-06-2019 Through 05-06-2019",

year = "2019",

month = jun,

doi = "10.1109/CCDC.2019.8832657",

language = "英语",

series = "Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019",

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

pages = "1297--1301",

booktitle = "Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019",

address = "美国",

}

Guo, C, Lu, H, Hu, Y, Liu, X & Sun, M 2019, Event-triggered pinning synchronization of stochastic complex dynamical networks. in Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019., 8832657, Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019, Institute of Electrical and Electronics Engineers Inc., pp. 1297-1301, 31st Chinese Control and Decision Conference, CCDC 2019, Nanchang, China, 3/06/19. https://doi.org/10.1109/CCDC.2019.8832657

Event-triggered pinning synchronization of stochastic complex dynamical networks. / Guo, Chaoqun; Lu, Hongqian; Hu, Yue et al.
Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 1297-1301 8832657 (Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019).

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

TY - GEN

T1 - Event-triggered pinning synchronization of stochastic complex dynamical networks

AU - Guo, Chaoqun

AU - Lu, Hongqian

AU - Hu, Yue

AU - Liu, Xingping

AU - Sun, Meiyu

PY - 2019/6

Y1 - 2019/6

N2 - This article mainly investigates the synchronization of stochastic complex dynamical networks. In order to attain required synchronization behavior of the complex dynamical networks, this paper designs a pinning control strategy controlling a part of nodes. Furthermore, combined with the event-triggered mechanism, the frequency of the communication is reduced. A framework of complex dynamical network is established, which reflects the nonlinearity and randomness of the numerous nodes of complex networks. By employing the Lyapunov-Krasovskii method, the stability criteria which guarantees the required synchronization of complex dynamical network is derived. The numerical example is given to show the effectiveness of the proposed method.

AB - This article mainly investigates the synchronization of stochastic complex dynamical networks. In order to attain required synchronization behavior of the complex dynamical networks, this paper designs a pinning control strategy controlling a part of nodes. Furthermore, combined with the event-triggered mechanism, the frequency of the communication is reduced. A framework of complex dynamical network is established, which reflects the nonlinearity and randomness of the numerous nodes of complex networks. By employing the Lyapunov-Krasovskii method, the stability criteria which guarantees the required synchronization of complex dynamical network is derived. The numerical example is given to show the effectiveness of the proposed method.

KW - Complex Dynamical Network

KW - Event-triggered Control

KW - Pinning Control

KW - Synchronization

UR - https://www.scopus.com/pages/publications/85073102349

U2 - 10.1109/CCDC.2019.8832657

DO - 10.1109/CCDC.2019.8832657

M3 - 会议稿件

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T3 - Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019

SP - 1297

EP - 1301

BT - Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 31st Chinese Control and Decision Conference, CCDC 2019

Y2 - 3 June 2019 through 5 June 2019

ER -

Guo C, Lu H, Hu Y, Liu X, Sun M. Event-triggered pinning synchronization of stochastic complex dynamical networks. In Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 1297-1301. 8832657. (Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019). doi: 10.1109/CCDC.2019.8832657

Event-triggered pinning synchronization of stochastic complex dynamical networks

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