Dynamics of Uncertain Discrete-Time Neural Network with Delay and Impulses
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Indexed by:期刊论文
Journal:DISCRETE DYNAMICS IN NATURE AND SOCIETY
Included Journals:SCIE、Scopus
Volume:2015
ISSN No.:1026-0226
Abstract: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.