Razumikhin type stability theorems for impulsive functional differential equations
Nonlinear Analysis: Theory, Methods & Applications
pth moment stability analysis of stochastic recurrent neural networks with time-varying delays
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Journal of Computational and Applied Mathematics
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Journal of Computational and Applied Mathematics
Razumikhin-type theorems on exponential stability of impulsive infinite delay differential systems
Journal of Computational and Applied Mathematics
Acta Applicandae Mathematicae: an international survey journal on applying mathematics and mathematical applications
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ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part I
Journal of Computational and Applied Mathematics
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In this paper, we investigate the stochastic functional differential equations with infinite delay. Some sufficient conditions are derived to ensure the pth moment exponential stability and pth moment global asymptotic stability of stochastic functional differential equations with infinite delay by using Razumikhin method and Lyapunov functions. Based on the obtained results, we further study the pth moment exponential stability of stochastic recurrent neural networks with unbounded distributed delays. The result extends and improves the earlier publications. Two examples are given to illustrate the applicability of the obtained results.