Loading [MathJax]/jax/output/HTML-CSS/config.js
Journals
Resources
About Us
Open Access
Go to previous page

Global Exponential Stability of Cellular Neural Network with Discrete and Distributed Delays

Year:    2011

Journal of Information and Computing Science, Vol. 6 (2011), Iss. 1 : pp. 27–34

Abstract

This paper is concerned with analysis problem for the global exponential stability of a class of recurrent neural networks (RNNs) with mixed discrete and distributed delays. We give the sufficient condition of global exponential stability of cellular neural network with mixed discrete and distributed delays by employing the Lyapunov-Krasovskii functional and Young inequality, in addition, the example is provided to illustrate the applicability of the result.

Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/2024-JICS-22692

Journal of Information and Computing Science, Vol. 6 (2011), Iss. 1 : pp. 27–34

Published online:    2011-01

AMS Subject Headings:   

Copyright:    COPYRIGHT: © Global Science Press

Pages:    8

Keywords: