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Global Exponential Stability for Impulsive Neural Networks With Discrete and Distributed Time-varying Delays

机译:具有离散和分布时变延迟的冲动神经网络的全局指数稳定性

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Based on the stability theory of Lyapunov-Krasovskii and the linear matrix inequality (LMI) approach, the global exponential stability was discussed for the impulsive neural networks with discrete and distributed time-varying delays, and a new sufficient condition was derived to assure the global exponential stability of the equilibrium point. The criterion improved and extended the results of literature, and has less conservative.
机译:基于Lyapunov-Krasovskii和线性矩阵不等式(LMI)方法的稳定性理论,对具有离散和分布时变延迟的脉冲神经网络讨论了全局指数稳定性,并导出了一种新的充分条件以确保全局均衡点的指数稳定性。标准改善并延长了文学的结果,并具有较少的保守。

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