A modified chaotic synchronized method based on cellular neural network system when the parameters are unknown

Guang Hui Ren; Ya Qin Zhao; Feng Wang; Jue Yu; Mao Liu Lin

doi:10.3969/j.issn.1006-7043.2010.12.018

A modified chaotic synchronized method based on cellular neural network system when the parameters are unknown

Guang Hui Ren
, Ya Qin Zhao^*
, Feng Wang
, Jue Yu
, Mao Liu Lin

^*Corresponding author for this work

School of Electronics and Information Engineering, Harbin Institute of Technology

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

This paper discusses how to synchronize two identical cellular neural network chaotic systems with unknown parameters. Chaotic characteristic analysis of cellular neural networks(CNN) is investigated firstly, and then adaptive control strategies are adopted. Based on Lyapunov stability theory, a modified adaptive controller combining one-way coupling and active control is proposed. Theoretical analysis and simulation results show the validity and advantage of the proposed method, which has shorter synchronization time and better synchronization performance compared with the traditional methods.

Original language	English
Pages (from-to)	1668-1673
Number of pages	6
Journal	Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University
Volume	31
Issue number	12
DOIs	https://doi.org/10.3969/j.issn.1006-7043.2010.12.018
State	Published - Dec 2010
Externally published	Yes

Keywords

Active control
Adaptive control
Cellular neural network
Chaotic synchronization
Lyapunov

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10.3969/j.issn.1006-7043.2010.12.018

Cite this

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title = "A modified chaotic synchronized method based on cellular neural network system when the parameters are unknown",

abstract = "This paper discusses how to synchronize two identical cellular neural network chaotic systems with unknown parameters. Chaotic characteristic analysis of cellular neural networks(CNN) is investigated firstly, and then adaptive control strategies are adopted. Based on Lyapunov stability theory, a modified adaptive controller combining one-way coupling and active control is proposed. Theoretical analysis and simulation results show the validity and advantage of the proposed method, which has shorter synchronization time and better synchronization performance compared with the traditional methods.",

keywords = "Active control, Adaptive control, Cellular neural network, Chaotic synchronization, Lyapunov",

author = "Ren, \{Guang Hui\} and Zhao, \{Ya Qin\} and Feng Wang and Jue Yu and Lin, \{Mao Liu\}",

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doi = "10.3969/j.issn.1006-7043.2010.12.018",

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T1 - A modified chaotic synchronized method based on cellular neural network system when the parameters are unknown

AU - Ren, Guang Hui

AU - Zhao, Ya Qin

AU - Wang, Feng

AU - Yu, Jue

AU - Lin, Mao Liu

PY - 2010/12

Y1 - 2010/12

N2 - This paper discusses how to synchronize two identical cellular neural network chaotic systems with unknown parameters. Chaotic characteristic analysis of cellular neural networks(CNN) is investigated firstly, and then adaptive control strategies are adopted. Based on Lyapunov stability theory, a modified adaptive controller combining one-way coupling and active control is proposed. Theoretical analysis and simulation results show the validity and advantage of the proposed method, which has shorter synchronization time and better synchronization performance compared with the traditional methods.

AB - This paper discusses how to synchronize two identical cellular neural network chaotic systems with unknown parameters. Chaotic characteristic analysis of cellular neural networks(CNN) is investigated firstly, and then adaptive control strategies are adopted. Based on Lyapunov stability theory, a modified adaptive controller combining one-way coupling and active control is proposed. Theoretical analysis and simulation results show the validity and advantage of the proposed method, which has shorter synchronization time and better synchronization performance compared with the traditional methods.

KW - Active control

KW - Adaptive control

KW - Cellular neural network

KW - Chaotic synchronization

KW - Lyapunov

UR - https://www.scopus.com/pages/publications/79551629871

U2 - 10.3969/j.issn.1006-7043.2010.12.018

DO - 10.3969/j.issn.1006-7043.2010.12.018

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SN - 1006-7043

VL - 31

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JO - Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University

JF - Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University

IS - 12

ER -

A modified chaotic synchronized method based on cellular neural network system when the parameters are unknown

Abstract

Keywords

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