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Fixed Point and Asymptotic Analysis of Cellular Neural Networks
Joint Authors
Source
Journal of Applied Mathematics
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-08-28
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
We firstly employ the fixed point theory to study the stability of cellular neural networks without delays and with time-varying delays.
Some novel and concise sufficient conditions are given to ensure the existence and uniqueness of solution and the asymptotic stability of trivial equilibrium at the same time.
Moreover, these conditions are easily checked and do not require the differentiability of delays.
American Psychological Association (APA)
Lai, Xianghong& Zhang, Yutian. 2012. Fixed Point and Asymptotic Analysis of Cellular Neural Networks. Journal of Applied Mathematics،Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-993554
Modern Language Association (MLA)
Lai, Xianghong& Zhang, Yutian. Fixed Point and Asymptotic Analysis of Cellular Neural Networks. Journal of Applied Mathematics No. 2012 (2012), pp.1-12.
https://search.emarefa.net/detail/BIM-993554
American Medical Association (AMA)
Lai, Xianghong& Zhang, Yutian. Fixed Point and Asymptotic Analysis of Cellular Neural Networks. Journal of Applied Mathematics. 2012. Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-993554
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-993554