Robust exponential stability of uncertain impulsive stochastic neural networks with delayed impulses |
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| Authors: | Dianqiang Li Pei Cheng Mingang Hua Fengqi Yao |
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| Institution: | 1. School of Mathematical Sciences, Anhui University, Hefei 230601, China;2. College of Computer and Information, Hohai University, Changzhou 213022, China;3. Jiangsu Key Laboratory of Power Transmission and Distribution Equipment Technology, Changzhou 213022, China;4. School of Electrical Engineering and Information, Anhui University of Technology, Maanshan 243000, China |
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| Abstract: | In this paper, by using Lyapunov functions, Razumikhin techniques and stochastic analysis approaches, the robust exponential stability of a class of uncertain impulsive stochastic neural networks with delayed impulses is investigated. The obtained results show that delayed impulses can make contribution to the stability of system. Compared with existing results on related problems, this work improves and complements ones from some works. Two examples are discussed to illustrate the effectiveness and the advantages of the results obtained. |
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| Keywords: | Corresponding author |
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