Exponential synchronization of discrete-time chaotic delayed neural networks

Meiqin Liu; Senlin Zhang; Dingding Zu

doi:10.1109/ICNC.2009.90

Exponential synchronization of discrete-time chaotic delayed neural networks

Meiqin Liu
, Senlin Zhang
, Dingding Zu

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

Abstract

This paper investigates exponential synchronization problem of general discrete-time chaotic delayed neural networks. Based on Lyapunov stability theory, the dynamic output feedback controller is established to guarantee exponential stable synchronization of both master and slave systems with time delays. The control design equation is shown to be a linear matrix inequality (LMI) standard problem which can be easily solved by MATLAB LMI Control Toolbox to determine the synchronization control law. Most chaotic neural networks can be transformed into this general chaotic neural network to be synchronization controller designed in a unified way.

Original language	English
Title of host publication	5th International Conference on Natural Computation, ICNC 2009
Pages	510-514
Number of pages	5
DOIs	https://doi.org/10.1109/ICNC.2009.90
State	Published - 2009
Externally published	Yes
Event	5th International Conference on Natural Computation, ICNC 2009 - Tianjian, China Duration: 14 Aug 2009 → 16 Aug 2009

Publication series

Name	5th International Conference on Natural Computation, ICNC 2009
Volume	3

Conference

Conference	5th International Conference on Natural Computation, ICNC 2009
Country/Territory	China
City	Tianjian
Period	14/08/09 → 16/08/09

Keywords

Chaotic neural network
Drive-response conception
Dynamic output feedback control
Exponential synchronization
Linear matrix inequality (lmi)

Access to Document

10.1109/ICNC.2009.90

Cite this

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title = "Exponential synchronization of discrete-time chaotic delayed neural networks",

abstract = "This paper investigates exponential synchronization problem of general discrete-time chaotic delayed neural networks. Based on Lyapunov stability theory, the dynamic output feedback controller is established to guarantee exponential stable synchronization of both master and slave systems with time delays. The control design equation is shown to be a linear matrix inequality (LMI) standard problem which can be easily solved by MATLAB LMI Control Toolbox to determine the synchronization control law. Most chaotic neural networks can be transformed into this general chaotic neural network to be synchronization controller designed in a unified way.",

keywords = "Chaotic neural network, Drive-response conception, Dynamic output feedback control, Exponential synchronization, Linear matrix inequality (lmi)",

author = "Meiqin Liu and Senlin Zhang and Dingding Zu",

year = "2009",

doi = "10.1109/ICNC.2009.90",

language = "英语",

isbn = "9780769537368",

series = "5th International Conference on Natural Computation, ICNC 2009",

pages = "510--514",

booktitle = "5th International Conference on Natural Computation, ICNC 2009",

note = "5th International Conference on Natural Computation, ICNC 2009 ; Conference date: 14-08-2009 Through 16-08-2009",

}

Liu, M, Zhang, S & Zu, D 2009, Exponential synchronization of discrete-time chaotic delayed neural networks. in 5th International Conference on Natural Computation, ICNC 2009., 5363866, 5th International Conference on Natural Computation, ICNC 2009, vol. 3, pp. 510-514, 5th International Conference on Natural Computation, ICNC 2009, Tianjian, China, 14/08/09. https://doi.org/10.1109/ICNC.2009.90

Exponential synchronization of discrete-time chaotic delayed neural networks. / Liu, Meiqin; Zhang, Senlin; Zu, Dingding.
5th International Conference on Natural Computation, ICNC 2009. 2009. p. 510-514 5363866 (5th International Conference on Natural Computation, ICNC 2009; Vol. 3).

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

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PY - 2009

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N2 - This paper investigates exponential synchronization problem of general discrete-time chaotic delayed neural networks. Based on Lyapunov stability theory, the dynamic output feedback controller is established to guarantee exponential stable synchronization of both master and slave systems with time delays. The control design equation is shown to be a linear matrix inequality (LMI) standard problem which can be easily solved by MATLAB LMI Control Toolbox to determine the synchronization control law. Most chaotic neural networks can be transformed into this general chaotic neural network to be synchronization controller designed in a unified way.

AB - This paper investigates exponential synchronization problem of general discrete-time chaotic delayed neural networks. Based on Lyapunov stability theory, the dynamic output feedback controller is established to guarantee exponential stable synchronization of both master and slave systems with time delays. The control design equation is shown to be a linear matrix inequality (LMI) standard problem which can be easily solved by MATLAB LMI Control Toolbox to determine the synchronization control law. Most chaotic neural networks can be transformed into this general chaotic neural network to be synchronization controller designed in a unified way.

KW - Chaotic neural network

KW - Drive-response conception

KW - Dynamic output feedback control

KW - Exponential synchronization

KW - Linear matrix inequality (lmi)

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Y2 - 14 August 2009 through 16 August 2009

ER -

Exponential synchronization of discrete-time chaotic delayed neural networks

Abstract

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Keywords

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