一类变系数混合时滞细胞神经网络周期解的存在性和全局指数稳定性

Global Exponential Stability of Periodic Solution of a Class of Cell Neural Networks with Variable Coefficients and Mixed Time-Varying Delays

摘要:

应用Mawhin连续性定理和不等式方法,给出了一类变系数混合时滞细胞神经网络周期解存在和指数稳定的充分条件。该结论对神经网络的设计具有重要的参考价值。

Abstract:

By applying Mawhin’s continuation theorem and inequality techniques, sufficient conditions were established to guarantee a class of cell neural networks with variable coefficients and mixed time delays has a global exponentially stable periodic solution. The results are valuable in the design of neural networks.