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Impulsive effects on stability of high-order BAM neural networks with time delays

机译:时滞对高阶BAM神经网络稳定性的脉冲影响

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摘要

The problem of Impulsive effects on stability analysis of high-order BAM neural networks with time delays is investigated in this paper. By using the Lyapunov technique and Razumikhin method, we characterize theoretically the aggregated effects of impulse and stability properties of impulse-free version and then analyze the stabilizing mechanism and destabilizing mechanism of impulses, respectively. The present approaches allow us to estimate the feasible upper bounds of impulse strengths and can also extend to the more general impulsive nonlinear systems with delays. To demonstrate the effectiveness of theoretical results, several numerical examples are given.
机译:研究了具有时滞的高阶BAM神经网络稳定性分析中的脉冲效应问题。通过使用Lyapunov技术和Razumikhin方法,从理论上描述了脉冲的集合效应和无脉冲形式的稳定性,然后分别分析了脉冲的稳定机制和去稳定机制。本发明的方法允许我们估计脉冲强度的可行上限,并且还可以扩展到具有延迟的更一般的脉冲非线性系统。为了证明理论结果的有效性,给出了几个数值示例。

著录项

  • 来源
    《Neurocomputing》 |2011年第10期|p.1541-1550|共10页
  • 作者单位

    College of Computer Science, Chongqing University, Chongqing 400044, China;

    College of Computer Science, Chongqing University, Chongqing 400044, China;

    College of Computer Science, Chongqing University, Chongqing 400044, China;

    Texas A&M University at Qatar, PO Box 23874, Doha, Qatar;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    high-order bam neural networks; impulse; time delay; stability;

    机译:高阶bam神经网络脉冲时滞稳定性;

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