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Existence and global stability analysis of equilibrium of fuzzy cellular neural networks with time delay in the leakage term under impulsive perturbations

机译:脉冲扰动下带泄漏项的时滞模糊细胞神经网络平衡的存在性和全局稳定性分析

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摘要

This paper considers existence, uniqueness and the global asymptotic stability of fuzzy cellular neural networks with mixed delays. The mixed delays include constant delay in the leakage term (i.e., "leakage delay"), time-varying delays and continuously distributed delays. Based on the Lyapunov method and the linear matrix inequality (LMI) approach, some sufficient conditions ensuring global asymptotic stability of the equilibrium point are derived, which are dependent on both the discrete and distributed time delays. These conditions are expressed in terms of LMI and can be easily checked by MATLAB LMI toolbox. In addition, two numerical examples are given to illustrate the feasibility of the result.
机译:考虑混合时滞的模糊细胞神经网络的存在性,唯一性和全局渐近稳定性。混合延迟包括泄漏项中的恒定延迟(即“泄漏延迟”),随时间变化的延迟和连续分布的延迟。基于Lyapunov方法和线性矩阵不等式(LMI)方法,得出了一些确保平衡点的全局渐近稳定性的充分条件,这些条件取决于离散和分布式时滞。这些条件以LMI表示,可以通过MATLAB LMI工具箱轻松检查。另外,给出了两个数值例子来说明结果的可行性。

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  • 来源
    《Journal of the Franklin Institute》 |2011年第2期|p.135-155|共21页
  • 作者单位

    School of Mathematical Sciences, Xiamen University, Xiamen 361005, PR China;

    rnDepartment of Mathematics, Gandhiaram Rural University, Gandhiaram 624 302, Tamilnadu, India;

    rnDepartment of Mathematics, Gandhiaram Rural University, Gandhiaram 624 302, Tamilnadu, India;

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