Neural Computing and Applications

, Volume 28, Issue 2, pp 345–352 | Cite as

Global asymptotic stability of impulsive fractional-order BAM neural networks with time delay

Original Article
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Abstract

In this paper, we study the global asymptotic stability of fractional-order BAM neural networks. We take both time delay and impulsive effects into consideration. Based on Lyapunov stability theorem, fractional Barbalat’s lemma and Razumikhin-type stability theorem, some stability conditions that are independent of the form of specific delays can be obtained. At last, two illustrative examples are given to show the independence of the obtained two main results and to show the effectiveness of the obtained results.

Keywords

Fractional-order BAM Asymptotic stability Impulsive Delay 
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Copyright information

© The Natural Computing Applications Forum 2015

Authors and Affiliations

  1. 1.School of ScienceJiangnan UniversityWuxiPeople’s Republic of China
  2. 2.Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education)Jiangnan UniversityWuxiPeople’s Republic of China

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