Stability of delayed memristive neural networks with time-varying impulses

This paper addresses the stability problem on the memristive neural networks with time-varying impulses. Based on the memristor theory and neural network theory, the model of the memristor-based neural network is established. Different from the most publications on memristive networks with fixed-tim...

Full description

Saved in:

Bibliographic Details
Published in:	Cognitive neurodynamics 2014-10, Vol.8 (5), p.429-436
Main Authors:	Qi, Jiangtao, Li, Chuandong, Huang, Tingwen
Format:	Article
Language:	eng
Subjects:	Artificial Intelligence Biochemistry Biomedical and Life Sciences Biomedicine Cognitive Psychology Computer Science Dynamical systems Euclidean space Impulses Memristors Neural networks Neurosciences Research Article Stability
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Description
Summary:	This paper addresses the stability problem on the memristive neural networks with time-varying impulses. Based on the memristor theory and neural network theory, the model of the memristor-based neural network is established. Different from the most publications on memristive networks with fixed-time impulse effects, we consider the case of time-varying impulses. Both the destabilizing and stabilizing impulses exist in the model simultaneously. Through controlling the time intervals of the stabilizing and destabilizing impulses, we ensure the effect of the impulses is stabilizing. Several sufficient conditions for the globally exponentially stability of memristive neural networks with time-varying impulses are proposed. The simulation results demonstrate the effectiveness of the theoretical results.
ISSN:	1871-4080 1871-4099