一类变时滞Cohen-Grossberg神经网络的全局指数稳定性

Global Exponential Stability of a Class of Cohen-Grossberg Neural Networks with Variable Delays

研究了一类具变时滞的C ohen-Grossberg神经网络的全局指数稳定性.利用同胚映射理论、Lya-punov函数思想和不等式技巧,给出了平衡点存在唯一性和全局指数稳定性的新的判别准则.

This paper is about the global exponential stability of a class of Cohen-Grossberg neural networks with variable delays. By employing the homoeomorphism theory, the idea of Lyapunov function and inequality technique, some new criteria are obtained to ensure the existence, uniqueness and global exponential stability of an equilibrium point.