title: Stability of delayed neural networks with time-varying impulses.
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.
authors.affiliation: School of Information Science and Technology, Donghua University, Shanghai 201620, PR China. zwb850506@126.com
authors.forename: Wenbing
authors.initials: W
authors.lastname: Zhang
authors.forename: Yang
authors.initials: Y
authors.lastname: Tang
authors.forename: Jian-An
authors.initials: JA
authors.lastname: Fang
authors.forename: Xiaotai
authors.initials: X
authors.lastname: Wu
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D016571:Neural Networks, Computer; D013997:Time Factors