Globally Exponential Stability of Periodic Solutions to Impulsive Neural Networks with Time‐Varying Delays

Yuanfu Shao, Changjin Xu and Qianhong Zhang

Abstract and Applied Analysis, 2012, vol. 2012, issue 1

Abstract: 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.

Date: 2012
References: Add references at CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1155/2012/358362

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wly:jnlaaa:v:2012:y:2012:i:1:n:358362

Access Statistics for this article

More articles in Abstract and Applied Analysis from John Wiley & Sons
Bibliographic data for series maintained by Wiley Content Delivery ().