脉冲时滞细胞神经网络系统的指数稳定性

Exponential Stability of Impulsive Cellular Neural Networks with Time-varying Delays

讨论了一类具有时滞的脉冲细胞神经网络的全局指数稳定性。利用Lyapunov函数和不等式技巧得到了该系统全局指数稳定的一个充分条件,同时给出示例说明结果的有效性。

This paper considers the global exponential stability of impulsive cellular neural networks with timevarying delays. By using the method of Lyapunov function and inequality technique, a sufficient condition for ensuring global exponential stability of these networks is derived, and the estimated exponential convergence rate is also obtained. An example is also given to verify the effectiveness of the obtained result.