具有变耦合时滞的离散时间神经网络的同步Global Synchronization in an Array of Discrete-time Delayed Neural Networks with Time-varying Delayed Coupling
钱学明
摘要(Abstract)：
本文讨论一类具有变耦合时滞的离散时间神经网络的同步问题,通过构造Lyapunov-Krasovskii泛函,利用线性矩阵不等式(LMI),并结合Kronecker积来获得离散时间耦合神经网络全局指数同步的判据,所获得的判据依赖于时滞。该判据易于用MATLAB的LMI工具箱进行求解和验证,同时,对细胞激活函数做了更为一般的假设。
关键词(KeyWords)： 离散时间;耦合神经网络;变耦合时滞;全局指数同步
基金项目(Foundation):
作者(Author): 钱学明
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