具有leakage项时滞与脉冲影响的反应扩散细胞神经网络指数同步

Exponential Synchronization of Reaction-Diffusion Cellular Neural Networks with Time Delay in the Leakage Term and Impulsive Effects

研究了具有leakage项时滞与脉冲影响的反应扩散细胞神经网络全局指数同步问题,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,结果分析表明较大的扩散系数更有利于系统实现同步.

The global exponential synchronization is investigated for a class of reaction-diffusion cellular neural networks with time delays in the leakage term and impulsive effects. Some sufficient criterion in terms of p-norm is derived to ensure the coupled neural networks to be exponentially synchronized by constructing a suitable l,yapunov function and utilizing some inequality techniques. The result shows that the large diffusion operator is beneficial to the realization of exponential synchronization.