Author:
Shi Min,Guo Juan,Fang Xianwen,Huang Chuangxia
Abstract
AbstractIn this paper, the exponential stability for a class of delayed competitive neural networks is studied. By applying the inequality technique and non-reduced-order approach, some novel and useful criteria of global exponential stability for the addressed network model are established. Moreover, a numerical example is presented to show the feasibility and effectiveness of the theoretical results.
Funder
National Natural Science Foundation of China
Natural Science Foundation of Anhui Province
Key Program of University Natural Science Research Fund of Anhui Province
Postdoctoral Research Foundation of China
Postdoctoral Science Foundation of Anhui Province
Innovation Foundation for Postgraduate of AUST
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Algebra and Number Theory,Analysis
Cited by
20 articles.
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