Global exponential stability of impulsive static neural networks with time-varying delays

机译：具有时变延迟的冲动静态神经网络的全局指数稳定性

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This paper investigates the global exponential stability of static neural networks (SNN) with time-varying delays and fixed moments of impulsive effect. Sufficient conditions for the exponential stability are established by using Lyapunov functions and the Razumikhin technique.

机译：本文研究了静态神经网络（SNN）的全球指数稳定性，时变延迟和脉冲效果的固定时刻。通过使用Lyapunov功能和Razumikhin技术建立了指数稳定性的充分条件。

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《International Conference on Computer Sciences and Convergence Information Technology》|2009年||共4页
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Yongchang Zhao; Linshan Wang;
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中图分类 TP3-53;
关键词
Component; Static neural networks; Time-varying delay; Global exponential stability; Impulsive;

机译：组件;静态神经网络;时变延迟;全球指数稳定;冲动;

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4. Global Exponential Stability of Impulsive Static Neural Networks with Time-Varying Delays [C] . Zhao Yongchang, Wang Linshan International Conference on Computer Sciences and Convergence Information Technology;ICCIT '09 . 2009

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6. Global exponential stability of Markovian jumping stochastic impulsive uncertain BAM neural networks with leakage mixed time delays and α-inverse Hölder activation functions [O] . C. Maharajan, R. Raja, Jinde Cao, -1

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Global exponential stability of impulsive static neural networks with time-varying delays

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