EconPapers    
Economics at your fingertips  
 

A Halanay-type inequality approach to the stability analysis of discrete-time neural networks with delays

Rongjiang Yang, Bo Wu and Yang Liu

Applied Mathematics and Computation, 2015, vol. 265, issue C, 696-707

Abstract: In this paper, we consider the stability of discrete-time neural networks with time-varying delays. A new discrete-time Halanay-type inequality is presented, based on which, we derive sufficient conditions for the globally asymptotic and exponential stability of discrete-time delayed neural networks. Two kinds of neural networks, without and with impulsive effects are investigated. Numerical examples and simulations are given to illustrate the effectiveness of the obtained results.

Keywords: Halanay-type inequality; Stability; Discrete-time impulsive neural network; Time delay (search for similar items in EconPapers)
Date: 2015
References: View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0096300315007122
Full text for ScienceDirect subscribers only

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:eee:apmaco:v:265:y:2015:i:c:p:696-707

DOI: 10.1016/j.amc.2015.05.088

Access Statistics for this article

Applied Mathematics and Computation is currently edited by Theodore Simos

More articles in Applied Mathematics and Computation from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:apmaco:v:265:y:2015:i:c:p:696-707