时滞细胞神经网络的稳定性分析

STABILITY ANALYSIS ON DELAYED CELLULAR NEURAL NETWORKS

  • 摘要: 研究具有时滞的细胞神经网络(DCNN)的稳定性问题,利用构造Lyapunov泛函、常数变易法及不等式分析技巧,给出了时滞细胞神经网络全局指数稳定性和全局渐近稳定性的充分判据,这些条件可用于设计出全局稳定的网络,因而具有重要的理论意义和应用价值.

     

    Abstract: In this paper, we study the problem of stability for the delayed cellular neural networks (DCNN). By making use of the Lyapunov functional method, the method of variation of constants and combining with the method of inequality analysis, some criterions of global exponential stability and global asympototic stability for delayed cellular neural networks are established. These criterions can be used to design globally stable networks and thus have important significance in both theory and applications.

     

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