Asymptotic Stability of Impulsive Cellular Neural Networks with Infinite Delays via Fixed Point Theory
Joint Authors
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-03-25
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
We employ the new method of fixed point theory to study the stability of a class of impulsive cellular neural networks with infinite delays.
Some novel and concise sufficient conditions are presented ensuring the existence and uniqueness of solution and the asymptotic stability of trivial equilibrium at the same time.
These conditions are easily checked and do not require the boundedness and differentiability of delays.
American Psychological Association (APA)
Zhang, Yutian& Guan, Yuanhong. 2013. Asymptotic Stability of Impulsive Cellular Neural Networks with Infinite Delays via Fixed Point Theory. Abstract and Applied Analysis،Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-471410
Modern Language Association (MLA)
Zhang, Yutian& Guan, Yuanhong. Asymptotic Stability of Impulsive Cellular Neural Networks with Infinite Delays via Fixed Point Theory. Abstract and Applied Analysis No. 2013 (2013), pp.1-10.
https://search.emarefa.net/detail/BIM-471410
American Medical Association (AMA)
Zhang, Yutian& Guan, Yuanhong. Asymptotic Stability of Impulsive Cellular Neural Networks with Infinite Delays via Fixed Point Theory. Abstract and Applied Analysis. 2013. Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-471410
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-471410
