首页> 外文会议>2012 31st Chinese Control Conference. >pth Moment Exponential synchronization of Impulsive Fuzzy Cohen-Grossberg Neural Networks with Variable Coefficients and Timevarying Delays Under Noise Perturbation
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pth Moment Exponential synchronization of Impulsive Fuzzy Cohen-Grossberg Neural Networks with Variable Coefficients and Timevarying Delays Under Noise Perturbation

机译:噪声扰动下变系数时变时滞脉冲模糊Cohen-Grossberg神经网络的pth矩指数同步

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摘要

In this paper, we consider a class of impulsive fuzzy Cohen-Grossberg neural networks with variable coefficients and time-varying delays. By establishing an L-operator differential inequality and using stochastic analysis technique, we obtain some new sufficient conditions for the pth moment exponential synchronization of the fuzzy Cohen-Grossberg neural networks under noise perturbation. Moreover, the exponential synchronization convergence rate is s also obtained. The criteria extend and improve some earlier results.
机译:在本文中,我们考虑了一类具有可变系数和时变时滞的脉冲模糊Cohen-Grossberg神经网络。通过建立L算子微分不等式并使用随机分析技术,我们获得了噪声扰动下模糊Cohen-Grossberg神经网络的pth矩指数同步的一些新的充分条件。此外,还获得了指数同步收敛速率。该标准扩展并改善了一些较早的结果。

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