Exponential stability of interval neural networks with variable delays

Jiye Zhang; Dianbo Ren; Weihua Zhang

doi:10.1007/11816157_40

Exponential stability of interval neural networks with variable delays

Jiye Zhang^*
, Dianbo Ren
, Weihua Zhang

^*Corresponding author for this work

Southwest Jiaotong University

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

Abstract

In this paper, the conditions ensuring existence, uniqueness, and global exponential stability of the equilibrium point of interval neural networks with variable delays are studied. Applying idea of vector Liapunov function, the sufficient conditions for global exponential stability of interval neural networks are obtained.

Original language	English
Title of host publication	International Conference on Intelligent Computing, ICIC 2006, Proceedings
Publisher	Springer Verlag
Pages	357-363
Number of pages	7
ISBN (Print)	3540372717, 9783540372714
DOIs	https://doi.org/10.1007/11816157_40
State	Published - 2006
Externally published	Yes
Event	2nd International Conference on Intelligent Computing, ICIC 2006 - Kunming, China Duration: 16 Aug 2006 → 19 Aug 2006

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4113 LNCS - I
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	2nd International Conference on Intelligent Computing, ICIC 2006
Country/Territory	China
City	Kunming
Period	16/08/06 → 19/08/06

Access to Document

10.1007/11816157_40

Cite this

Zhang, J., Ren, D., & Zhang, W. (2006). Exponential stability of interval neural networks with variable delays. In International Conference on Intelligent Computing, ICIC 2006, Proceedings (pp. 357-363). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4113 LNCS - I). Springer Verlag. https://doi.org/10.1007/11816157_40

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title = "Exponential stability of interval neural networks with variable delays",

abstract = "In this paper, the conditions ensuring existence, uniqueness, and global exponential stability of the equilibrium point of interval neural networks with variable delays are studied. Applying idea of vector Liapunov function, the sufficient conditions for global exponential stability of interval neural networks are obtained.",

author = "Jiye Zhang and Dianbo Ren and Weihua Zhang",

year = "2006",

doi = "10.1007/11816157\_40",

language = "英语",

isbn = "3540372717",

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

publisher = "Springer Verlag",

pages = "357--363",

booktitle = "International Conference on Intelligent Computing, ICIC 2006, Proceedings",

address = "德国",

note = "2nd International Conference on Intelligent Computing, ICIC 2006 ; Conference date: 16-08-2006 Through 19-08-2006",

}

Zhang, J, Ren, D & Zhang, W 2006, Exponential stability of interval neural networks with variable delays. in International Conference on Intelligent Computing, ICIC 2006, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4113 LNCS - I, Springer Verlag, pp. 357-363, 2nd International Conference on Intelligent Computing, ICIC 2006, Kunming, China, 16/08/06. https://doi.org/10.1007/11816157_40

Exponential stability of interval neural networks with variable delays. / Zhang, Jiye; Ren, Dianbo; Zhang, Weihua.
International Conference on Intelligent Computing, ICIC 2006, Proceedings. Springer Verlag, 2006. p. 357-363 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4113 LNCS - I).

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

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AU - Ren, Dianbo

AU - Zhang, Weihua

PY - 2006

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AB - In this paper, the conditions ensuring existence, uniqueness, and global exponential stability of the equilibrium point of interval neural networks with variable delays are studied. Applying idea of vector Liapunov function, the sufficient conditions for global exponential stability of interval neural networks are obtained.

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DO - 10.1007/11816157_40

M3 - 会议稿件

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SN - 3540372717

SN - 9783540372714

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

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Zhang J, Ren D, Zhang W. Exponential stability of interval neural networks with variable delays. In International Conference on Intelligent Computing, ICIC 2006, Proceedings. Springer Verlag. 2006. p. 357-363. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/11816157_40

Exponential stability of interval neural networks with variable delays

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