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Globalμ-Stability of Impulsive Complex-Valued Neural Networks with Leakage Delay and Mixed Delays

机译:具有漏电延迟和混合延迟的冲动复合性神经网络的Globalμ-稳定性

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The impulsive complex-valued neural networks with three kinds of time delays including leakage delay, discrete delay, and distributed delay are considered. Based on the homeomorphism mapping principle of complex domain, a sufficient condition for the existence and uniqueness of the equilibrium point of the addressed complex-valued neural networks is proposed in terms of linear matrix inequality (LMI). By constructing appropriate Lyapunov-Krasovskii functionals, and employing the free weighting matrix method, several delay-dependent criteria for checking the globalμ-stability of the complex-valued neural networks are established in LMIs. As direct applications of these results, several criteria on the exponential stability, power-stability, and log-stability are obtained. Two examples with simulations are provided to demonstrate the effectiveness of the proposed criteria.
机译:考虑了具有三种时间延迟的脉冲复合值的神经网络,包括泄漏延迟,离散延迟和分布式延迟。基于复杂结构域的同源形式映射原理,提出了在线性矩阵不等式(LMI)方面提出了寻址复值神经网络的平衡点的存在和唯一性的充分条件。通过构建适当的Lyapunov-krasovskii功能,并采用自由加权矩阵方法,在LMI中建立了用于检查复值神经网络的全球μ-稳定性的若干延迟相关标准。作为这些结果的直接应用,获得了指数稳定性,功率稳定性和对数稳定性的若干标准。提供了两个模拟的例子以证明所提出的标准的有效性。

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