Globally Exponential Stability of Periodic Solutions to Impulsive Neural Networks with Time-Varying Delays
Joint Authors
Xu, Changjin
Zhang, Qianhong
Shao, Yuanfu
Source
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-05-10
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
By using Schaeffer's theorem and Lyapunov functional, sufficient conditions of the existence and globally exponential stability of positive periodic solution to an impulsive neural network with time-varying delays are established.
Applications, examples, and numerical analysis are given to illustrate the effectiveness of the main results.
American Psychological Association (APA)
Shao, Yuanfu& Xu, Changjin& Zhang, Qianhong. 2012. Globally Exponential Stability of Periodic Solutions to Impulsive Neural Networks with Time-Varying Delays. Abstract and Applied Analysis،Vol. 2012, no. 2012, pp.1-14.
https://search.emarefa.net/detail/BIM-465614
Modern Language Association (MLA)
Shao, Yuanfu…[et al.]. Globally Exponential Stability of Periodic Solutions to Impulsive Neural Networks with Time-Varying Delays. Abstract and Applied Analysis No. 2012 (2012), pp.1-14.
https://search.emarefa.net/detail/BIM-465614
American Medical Association (AMA)
Shao, Yuanfu& Xu, Changjin& Zhang, Qianhong. Globally Exponential Stability of Periodic Solutions to Impulsive Neural Networks with Time-Varying Delays. Abstract and Applied Analysis. 2012. Vol. 2012, no. 2012, pp.1-14.
https://search.emarefa.net/detail/BIM-465614
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-465614
