Pinning Control of Complex Network Synchronization: A Recurrent Neural Network Approach

被引：18

作者：

Sanchez, Edgar N. ^{[1
]}

Rodriguez-Castellanos, David I. ^{[1
]}

Chen, Guanrong ^{[2
]}

Ruiz-Cruz, Riemann ^{[3
]}

机构：

[1] IPN, CINVESTAV, Campus Guadalajara,Ave Bosque 1145, Zapopan, Jalisco, Mexico

[2] City Univ Hong Kong, 83 Tat Chee Ave, Kowloon, Hong Kong, Peoples R China

[3] ITESO Univ, Perifer Gomez Morin 8585, Tlaquepaque, Jalisco, Mexico

来源：

INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS | 2017年 / 15卷 / 03期

关键词：

Chaos control; complex network; neural network; pinning control; DYNAMICAL NETWORK; ADAPTIVE-CONTROL; IDENTIFICATION; CHAOS;

D O I：

10.1007/s12555-016-0364-4

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：1405 / 1413

页数：9

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