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论文类型：期刊论文
发表时间：2015-01-01
发表刊物：DISCRETE DYNAMICS IN NATURE AND SOCIETY
收录刊物：SCIE、Scopus
卷号：2015
ISSN号：1026-0226
摘要：The stability of discrete-time impulsive delay neural networks with and without uncertainty is investigated. First, by using Razumikhin-type theorem, a new less conservative condition for the exponential stability of discrete-time neural network with delay and impulse is proposed. Moreover, some new sufficient conditions are derived to guarantee the stability of uncertain discrete-time neural network with delay and impulse by using Lyapunov function and linear matrix inequality (LMI). Finally, several examples with numerical simulation are presented to demonstrate the effectiveness of the obtained results.