Pinning control of complex network synchronization: A recurrent neural network approach

Edgar N. Sanchez; David I. Rodriguez-Castellanos; Guanrong Chen; Riemann Ruiz-Cruz

doi:10.1007/s12555-016-0364-4

Pinning control of complex network synchronization: A recurrent neural network approach

Edgar N. Sanchez^*
, David I. Rodriguez-Castellanos
, Guanrong Chen
, Riemann Ruiz-Cruz

^*Corresponding author for this work

City University of Hong Kong

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

22 Citations (Scopus)

Abstract

Using recurrent high order neural networks for identification, a new scheme for pinning control of complex networks with changing unknown coupling strengths is proposed for achieving synchronization. The robust behavior of the control system is investigated via simulations.

Original language	English
Pages (from-to)	1405-1414
Journal	International Journal of Control, Automation and Systems
Volume	15
Issue number	3
DOIs	https://doi.org/10.1007/s12555-016-0364-4
Publication status	Published - 1 Jun 2017

Research Keywords

Chaos control
complex network
neural network
pinning control

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@article{a341fd102c16473299f807e232f91670,

title = "Pinning control of complex network synchronization: A recurrent neural network approach",

abstract = "Using recurrent high order neural networks for identification, a new scheme for pinning control of complex networks with changing unknown coupling strengths is proposed for achieving synchronization. The robust behavior of the control system is investigated via simulations.",

keywords = "Chaos control, complex network, neural network, pinning control",

author = "Sanchez, \{Edgar N.\} and Rodriguez-Castellanos, \{David I.\} and Guanrong Chen and Riemann Ruiz-Cruz",

year = "2017",

month = jun,

day = "1",

doi = "10.1007/s12555-016-0364-4",

language = "English",

volume = "15",

pages = "1405--1414",

journal = "International Journal of Control, Automation and Systems",

issn = "1598-6446",

publisher = "Institute of Control, Robotics and Systems",

number = "3",

}

Pinning control of complex network synchronization: A recurrent neural network approach. / Sanchez, Edgar N.; Rodriguez-Castellanos, David I.; Chen, Guanrong et al.
In: International Journal of Control, Automation and Systems, Vol. 15, No. 3, 01.06.2017, p. 1405-1414.

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

TY - JOUR

T1 - Pinning control of complex network synchronization

T2 - A recurrent neural network approach

AU - Sanchez, Edgar N.

AU - Rodriguez-Castellanos, David I.

AU - Chen, Guanrong

AU - Ruiz-Cruz, Riemann

PY - 2017/6/1

Y1 - 2017/6/1

N2 - Using recurrent high order neural networks for identification, a new scheme for pinning control of complex networks with changing unknown coupling strengths is proposed for achieving synchronization. The robust behavior of the control system is investigated via simulations.

AB - Using recurrent high order neural networks for identification, a new scheme for pinning control of complex networks with changing unknown coupling strengths is proposed for achieving synchronization. The robust behavior of the control system is investigated via simulations.

KW - Chaos control

KW - complex network

KW - neural network

KW - pinning control

UR - https://www.scopus.com/pages/publications/85016502014

UR - https://www.scopus.com/pages/publications/85016502014#tab=impact

U2 - 10.1007/s12555-016-0364-4

DO - 10.1007/s12555-016-0364-4

M3 - RGC 21 - Publication in refereed journal

SN - 1598-6446

VL - 15

SP - 1405

EP - 1414

JO - International Journal of Control, Automation and Systems

JF - International Journal of Control, Automation and Systems

IS - 3

ER -

Pinning control of complex network synchronization: A recurrent neural network approach

Abstract

Research Keywords

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