New results on stability for a class of neural networks with distributed delays and impulses

Authors:
Chang-Bo Yang;Ting-Zhu Huang
Affiliations:
School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, PR China and Institute of Nonlinear Analysis, Kunming University, Kunming, Yunna ...;School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, PR China
Venue:
Neurocomputing
Year:
2013

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Abstract

Using topological degree, M-matrix and inequality technique, some new criteria are obtained to ensure the existence, uniqueness and exponential stability of the equilibrium point for a class of neural networks with distributed delays and impulses. These novel criteria extend and improve some previously known results in the literature. Finally, an illustrative example and its numerical simulation are provided to show the effectiveness of our theoretical results.