基于反馈控制的分数阶时滞神经网络的同步

研究了分数阶时滞神经网络的同步问题,通过使用Mittag-Leffler函数和线性反馈控制,给出了同步控制器解析式,得到了关于Caputo导数的时滞神经网络同步的充分条件;系统同步的条件容易证明和实现且仅依赖于系统的结构;最后通过数值模拟验证了理论的有效性.

Synchronization of Fractional-order Neural Network with Delay Based on Feedback Control

This paper studies the synchroni the analytic formula of synchronized controller b the sufficient condition for delay neural network synchronization is easy to be proved and be impl finally verifies the validity of the theory by num zation problem of fractional-order neural network with delay, gives y using Mittag-Leffler function and linear feedback control, receives synchronization on Caputo derivative, i.e., the condition for system emented as well as only depends on the structure of the system, and erical simulation.