Global Exponential Robust Stability of High‐Order Hopfield Neural Networks with S‐Type Distributed Time Delays
Haiyong Zheng,
Bin Wu,
Tengda Wei,
Linshan Wang and
Yangfan Wang
Journal of Applied Mathematics, 2014, vol. 2014, issue 1
Abstract:
By employing differential inequality technique and Lyapunov functional method, some criteria of global exponential robust stability for the high‐order neural networks with S‐type distributed time delays are established, which are easy to be verified with a wider adaptive scope.
Date: 2014
References: Add references at CitEc
Citations:
Downloads: (external link)
https://doi.org/10.1155/2014/705496
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:jnljam:v:2014:y:2014:i:1:n:705496
Access Statistics for this article
More articles in Journal of Applied Mathematics from John Wiley & Sons
Bibliographic data for series maintained by Wiley Content Delivery ().