Neural networks letter: Stability of delayed neural networks with time-varying impulses

Authors:
Wenbing Zhang;Yang Tang;Jian-An Fang;Xiaotai Wu
Affiliations:
School of Information Science and Technology, Donghua University, Shanghai 201620, PR China;Research Institute of Intelligent Control and Systems, Harbin Institute of Technology, Harbin 150080, PR China and Institute of Physics, Humboldt University, Berlin 12489, Germany and Potsdam Inst ...;School of Information Science and Technology, Donghua University, Shanghai 201620, PR China;Department of Mathematics, Anhui Polytechnic University, Wuhu, Anhui 241000, PR China
Venue:
Neural Networks
Year:
2012

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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.