时滞离散神经网络的同步控制

Synchronization of delayed discrete-time neural networks

利用既有效又便于实施的时滞状态反馈控制器,根据所给定的条件构造相应的不等式,研究了带有时滞的离散神经网络模型的同步控制问题,给出了该离散系统指数同步的充分条件.在设计同步控制的时候,没有假设激励函数的有界性、可微性和单调性,给出的条件简便易实施.数值结果进一步证明了该控制方法的有效性.

Using delayed state-feedback controller and analytic technique,the synchronization control of discrete-time neural network with delay is investigated.Sufficient conditions guaranteeing the synchronized behavior are obtained without assuming the boundedness and differentiability of activation functions.Numerical simulations show the effectiveness of the control scheme.