Stability of delayed neural networks with time-varying impulses

Wenbing Zhang; Yang Tang; Jian-An Fang; Xiaotai Wu

doi:10.1016/j.neunet.2012.08.014

Stability of delayed neural networks with time-varying impulses

Neural Netw. 2012 Dec:36:59-63. doi: 10.1016/j.neunet.2012.08.014. Epub 2012 Sep 21.

Authors

Wenbing Zhang¹, Yang Tang, Jian-An Fang, Xiaotai Wu

Affiliation

¹ School of Information Science and Technology, Donghua University, Shanghai 201620, PR China. [email protected]

PMID: 23041669
DOI: 10.1016/j.neunet.2012.08.014

Abstract

This paper addresses the stability problem of a class of delayed neural networks with time-varying impulses. One important feature of the time-varying impulses is that both the stabilizing and destabilizing impulses are considered simultaneously. Based on the comparison principle, the stability of delayed neural networks with time-varying impulses is investigated. Finally, the simulation results demonstrate the effectiveness of the results.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Algorithms*
Computer Simulation
Neural Networks, Computer*
Time Factors