混沌时滞神经网络系统的反同步

Anti-synchronization of chaotic delayed neural networks

利用状态观测器方法研究了一类带时滞的混沌神经网络系统的反同步问题.与应用于其他混沌系统的反同步方法相比,提出的方法更为简便,并且利用极点配置技术,只要通过调整特征值来实现反同步速率的快慢.最后,给出了数值例子和计算机仿真结果来验证该方案的有效性.

By means of techniques of state observer, the anti-synchronization of a class of chaotic neural networks with time delay is investigated. Compared with the anti-synchronization strategies used in other chaotic systems, the technique presented here is rather simple and the convergence rate can be adjusted by tuning the eigenvalues through the pole placement technique. Finally, two numerical examples and computational simulations are given to show the effectiveness of the proposed scheme.