H∞synchronization of general discrete-time chaotic neural networks with time delays

Meiqin Liu; Senlin Zhang; Meikang Qiu

doi:10.1007/978-3-642-01507-6_43

H_∞synchronization of general discrete-time chaotic neural networks with time delays

Meiqin Liu
, Senlin Zhang
, Meikang Qiu

Zhejiang University
University of New Orleans

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

1 引用（Scopus）

摘要

This paper investigates robust H_∞ synchronization problem of general discrete-time time-delayed chaotic neural networks with external disturbance. Based on Lyapunov stability theory and H_∞ control concept, time-delayed state feedback controllers are established to not only guarantee exponential stable synchronization between two general chaotic neural networks with time delays, but also reduce the effect of external disturbance on synchronization error to a minimal H_∞ norm constraint. The control design problem is shown to be a linear matrix inequality (LMI) standard problem which can be easily solved by various convex optimization algorithms to determine the optimal H_∞ synchronization control law.

源语言	英语
主期刊名	Advances in Neural Networks - ISNN 2009 - 6th International Symposium on Neural Networks, ISNN 2009, Proceedings
页	366-374
页数	9
版本	PART 1
DOI	https://doi.org/10.1007/978-3-642-01507-6_43
出版状态	已出版 - 2009
已对外发布	是
活动	6th International Symposium on Neural Networks, ISNN 2009 - Wuhan, 中国期限: 26 5月 2009 → 29 5月 2009

出版系列

姓名	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
编号	PART 1
卷	5551 LNCS
ISSN（印刷版）	0302-9743
ISSN（电子版）	1611-3349

会议

会议	6th International Symposium on Neural Networks, ISNN 2009
国家/地区	中国
市	Wuhan
时期	26/05/09 → 29/05/09

访问文件

10.1007/978-3-642-01507-6_43

其它文件与链接

链接到 Scopus 的出版物

引用此

Liu, M., Zhang, S., & Qiu, M. (2009). H_∞synchronization of general discrete-time chaotic neural networks with time delays. 在 Advances in Neural Networks - ISNN 2009 - 6th International Symposium on Neural Networks, ISNN 2009, Proceedings (PART 1 编辑, 页码 366-374). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 5551 LNCS, 号码 PART 1). https://doi.org/10.1007/978-3-642-01507-6_43

Liu, Meiqin ; Zhang, Senlin ; Qiu, Meikang. / H_∞synchronization of general discrete-time chaotic neural networks with time delays. Advances in Neural Networks - ISNN 2009 - 6th International Symposium on Neural Networks, ISNN 2009, Proceedings. PART 1. 编辑 2009. 页码 366-374 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).

@inproceedings{d2457d5fd04d4571893f79e429a90dce,

title = "H∞synchronization of general discrete-time chaotic neural networks with time delays",

abstract = "This paper investigates robust H∞ synchronization problem of general discrete-time time-delayed chaotic neural networks with external disturbance. Based on Lyapunov stability theory and H∞ control concept, time-delayed state feedback controllers are established to not only guarantee exponential stable synchronization between two general chaotic neural networks with time delays, but also reduce the effect of external disturbance on synchronization error to a minimal H∞ norm constraint. The control design problem is shown to be a linear matrix inequality (LMI) standard problem which can be easily solved by various convex optimization algorithms to determine the optimal H∞ synchronization control law.",

author = "Meiqin Liu and Senlin Zhang and Meikang Qiu",

year = "2009",

doi = "10.1007/978-3-642-01507-6\_43",

language = "英语",

isbn = "3642015069",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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booktitle = "Advances in Neural Networks - ISNN 2009 - 6th International Symposium on Neural Networks, ISNN 2009, Proceedings",

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note = "6th International Symposium on Neural Networks, ISNN 2009 ; Conference date: 26-05-2009 Through 29-05-2009",

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Liu, M, Zhang, S & Qiu, M 2009, H_∞synchronization of general discrete-time chaotic neural networks with time delays. 在 Advances in Neural Networks - ISNN 2009 - 6th International Symposium on Neural Networks, ISNN 2009, Proceedings. PART 1 编辑, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 号码 PART 1, 卷 5551 LNCS, 页码 366-374, 6th International Symposium on Neural Networks, ISNN 2009, Wuhan, 中国, 26/05/09. https://doi.org/10.1007/978-3-642-01507-6_43

H_∞synchronization of general discrete-time chaotic neural networks with time delays. / Liu, Meiqin; Zhang, Senlin; Qiu, Meikang.
Advances in Neural Networks - ISNN 2009 - 6th International Symposium on Neural Networks, ISNN 2009, Proceedings. PART 1. 编辑 2009. 页码 366-374 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 5551 LNCS, 号码 PART 1).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - H∞synchronization of general discrete-time chaotic neural networks with time delays

AU - Liu, Meiqin

AU - Zhang, Senlin

AU - Qiu, Meikang

PY - 2009

Y1 - 2009

N2 - This paper investigates robust H∞ synchronization problem of general discrete-time time-delayed chaotic neural networks with external disturbance. Based on Lyapunov stability theory and H∞ control concept, time-delayed state feedback controllers are established to not only guarantee exponential stable synchronization between two general chaotic neural networks with time delays, but also reduce the effect of external disturbance on synchronization error to a minimal H∞ norm constraint. The control design problem is shown to be a linear matrix inequality (LMI) standard problem which can be easily solved by various convex optimization algorithms to determine the optimal H∞ synchronization control law.

AB - This paper investigates robust H∞ synchronization problem of general discrete-time time-delayed chaotic neural networks with external disturbance. Based on Lyapunov stability theory and H∞ control concept, time-delayed state feedback controllers are established to not only guarantee exponential stable synchronization between two general chaotic neural networks with time delays, but also reduce the effect of external disturbance on synchronization error to a minimal H∞ norm constraint. The control design problem is shown to be a linear matrix inequality (LMI) standard problem which can be easily solved by various convex optimization algorithms to determine the optimal H∞ synchronization control law.

UR - https://www.scopus.com/pages/publications/69949106216

U2 - 10.1007/978-3-642-01507-6_43

DO - 10.1007/978-3-642-01507-6_43

M3 - 会议稿件

AN - SCOPUS:69949106216

SN - 3642015069

SN - 9783642015069

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 366

EP - 374

BT - Advances in Neural Networks - ISNN 2009 - 6th International Symposium on Neural Networks, ISNN 2009, Proceedings

T2 - 6th International Symposium on Neural Networks, ISNN 2009

Y2 - 26 May 2009 through 29 May 2009

ER -

Liu M, Zhang S, Qiu M. H_∞synchronization of general discrete-time chaotic neural networks with time delays. 在 Advances in Neural Networks - ISNN 2009 - 6th International Symposium on Neural Networks, ISNN 2009, Proceedings. PART 1 编辑 2009. 页码 366-374. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). doi: 10.1007/978-3-642-01507-6_43

H∞synchronization of general discrete-time chaotic neural networks with time delays

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引用此

H_∞synchronization of general discrete-time chaotic neural networks with time delays