作者: P. Balasubramaniam , R. Rakkiyappan
DOI: 10.1016/J.NEUCOM.2009.02.007
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摘要: This paper is concerned with stability analysis problem for uncertain stochastic neural networks discrete interval and distributed time-varying delays. The parameter uncertainties are assumed to be norm bounded the delay belong a given interval, which means that lower upper bounds of delays available. Based on new Lyapunov-Krasovskii functional theory, delay-interval dependent criteria obtained in terms linear matrix inequalities. Some numerical examples comparisons provided show proposed results significantly improve allowable over some existing literature. Furthermore, supplementary requirement time derivative must smaller than value one not necessary derive this paper.