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Global Exponential Stability of Fuzzy Cellular Neural Networks with Variable Delays and Distributed Delays

机译:可变时滞和分布时滞模糊细胞神经网络的全局指数稳定性

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In this paper,the existence and uniqueness of the equilibrium point and global stability of fuzzy cellular neural networks (FCNNs) with Lipschitz continuous activation functions are investigated.The neural networks contain both variable delays and distributed delays.By constructing proper vector Lyapunov functions and applying M-matrix theory,with some novel sufficient conditions the existence and uniqueness of equilibrium point and global exponential stability of FCNNs with variable delays and distributed delays are ensured.
机译:本文研究了具有Lipschitz连续激活函数的模糊细胞神经网络(FCNN)的平衡点和全局稳定性的存在与唯一性。该神经网络包含可变时延和分布时延。通过构造适当的向量Lyapunov函数并应用具有一些新颖的充分条件的M矩阵理论,保证了具有可变时滞和分布时滞的FCNN的平衡点的存在和唯一性以及全局指数稳定性。

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