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Dynamic stability analysis of stochastic fractional-order memristor fuzzy BAM neural networks with delay and leakage terms

机译:随机分数函数模糊BAM神经网络的动态稳定性分析延迟和泄漏术语

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This paper deals with the uniform stability in mean square of stochastic fractional-order memristor fuzzy BAM neural networks with delay and leakage terms. By employing the ideas of Cauchy-Schwartz inequality, Burkholder-Davis-Gundy inequality, analysis technique, some sufficient conditions are derived to ensure the uniform stability in mean square of such networks. The existence, uniqueness and stability of its equilibrium point are also showed. Two different fractional-order derivatives between the U-layer and V-layer are taken into consideration synchronously with fractional order 1/2 <= alpha <1. Two examples are also provided to illustrate the effectiveness of our results. (C) 2019 Elsevier Inc. All rights reserved.
机译:本文涉及随机分数级忆忆模糊BAM神经网络的平均方形均匀稳定性,具有延迟和泄漏术语。 通过采用Cauchy-Schwartz不等式的思想,Burkholder-Davis-Gundy不等式,分析技术,得到一些充分的条件,以确保这些网络的均匀平方中的均匀稳定性。 还显示了其均衡点的存在,唯一性和稳定性。 与分数1/2 <= alpha <1同步考虑U层和V层之间的两种不同的分数阶衍生物。 还提供了两个示例以说明我们的结果的有效性。 (c)2019 Elsevier Inc.保留所有权利。

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