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研究了具有混合时滞与脉冲影响的模糊反应扩散细胞神经网络的全局指数同步问题.通过构造恰当的Lyapunov泛函并利用一些不等式分析技巧,得到了基于p-范数的耦合神经网络系统全局指数同步条件.通过对所得结果的分析可发现较大的扩散系数更有利于系统实现同步.
The global exponential synchronization problem of fuzzy reactive diffusion cellular neural networks with mixed delays and impulsive effects is studied. By constructing the appropriate Lyapunov functional and using some inequality analysis techniques, the global index of the coupled neural network system based on p-norm is obtained. Synchronization conditions.Analysis of the results obtained from the larger diffusion coefficient can be found more conducive to the system to achieve synchronization.