pth Moment exponential stability of impulsive stochastic functional differential equations and application to control problems of NNs

被引:55
|
作者
Li, Xiaodi [1 ]
Zhu, Quanxin [2 ,3 ]
O'Regan, Donal [4 ]
机构
[1] Shandong Normal Univ, Sch Math Sci, Jinan 250014, Peoples R China
[2] Nanjing Normal Univ, Sch Math Sci, Nanjing 210023, Jiangsu, Peoples R China
[3] Nanjing Normal Univ, Inst Finance & Stat, Nanjing 210023, Jiangsu, Peoples R China
[4] Natl Univ Ireland, Dept Math, Galway, Ireland
基金
中国国家自然科学基金;
关键词
RAZUMIKHIN-TYPE THEOREMS; RECURRENT NEURAL-NETWORKS; ASYMPTOTIC STABILITY; P-STABILITY; MEAN-SQUARE; DELAY; STABILIZATION; SYSTEMS; UNIQUENESS; EXISTENCE;
D O I
10.1016/j.jfranklin.2014.04.008
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper investigates the pth moment exponential stability of impulsive stochastic functional differential equations. Some sufficient conditions are obtained to ensure the pth moment exponential stability of the equilibrium solution by the Razumikhin method and Lyapunov functions. Based on these results, we further discuss the pth moment exponential stability of generalized impulsive delay stochastic differential equations and stochastic Hopfield neural networks with multiple time-varying delays from the impulsive control point of view. The results derived in this paper improve and generalize some recent works reported in the literature. Moreover, we see that impulses do contribute to the stability of stochastic functional differential equations. Finally, two numerical examples are provided to demonstrate the efficiency of the results obtained. (C) 2014 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
引用
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页码:4435 / 4456
页数:22
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