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首页> 外文期刊>Circuits, systems, and signal processing >Global Stability and Synchronization of Markovian Switching Neural Networks with Stochastic Perturbation and Impulsive Delay
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Global Stability and Synchronization of Markovian Switching Neural Networks with Stochastic Perturbation and Impulsive Delay

机译:具有随机扰动和脉冲时滞的马尔可夫切换神经网络的全局稳定性和同步性

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摘要

This paper focuses on the hybrid effects of Markovian switching, stochastic perturbation, and impulsive delay on neural networks. First, some novel generic criteria for Markovian switching neural networks with stochastic perturbation and impulsive delay are derived by establishing an extended Halanay differential inequality on impulsive dynamical systems. Second, our sufficient conditions ensuring synchronization are dependent on coupling and impulsive delay, and show coupling and impulsive effects on the synchronization of neural networks. Finally, simulation results demonstrate the effectiveness of the theoretical results.
机译:本文重点研究了马尔可夫切换,随机扰动和脉冲延迟对神经网络的混合效应。首先,通过在脉冲动力系统上建立扩展的Halanay微分不等式,导出了具有随机扰动和脉冲时滞的马尔可夫切换神经网络的一些新颖通用准则。其次,我们确保同步的充分条件取决于耦合和脉冲延迟,并显示了耦合和脉冲对神经网络同步的影响。最后,仿真结果证明了理论结果的有效性。

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