一类扰动脉冲时滞神经网络系统的指数反同步

Exponential Anti-Synchronization of Neural Networks with Delays Under Perturbed Impulses

本文研究了一类带扰动脉冲的时滞神经网络系统指数反同步问题.利用Lyapunov泛函方法和分析技巧,建立了驱动-响应时滞神经网络系统全局指数反同步的充分条件,并利用数值仿真验证了所得结论的有效性.

This paper investigated the problem of exponential anti-synchronization in a class of neural network systems with perturbed arterial impulse delays.Using Lyapunov functional method and analytical techniques,several sufficient conditions for global exponential anti-synchronization of drive-response neural network systems with delays were established,and the effectiveness of the obtained conclusions was verified through numerical simulation.