Finite-Time Synchronization of Delayed Neural Networks

A sliding mode control approach is proposed to synchronize a class of delayed neural networks in a finite time, where the mismatched parameters and neuron activation functions arc taken into account. In the controller design, a sliding mode manifold is directly defined by the synchronization error, which greatly reduces the synchronization time. Its concise design process and its ability to synchronize the delayed neural networks in a small finite time are two advantages of the sliding mode controller. Two numerical examples are given to illustrate the effectiveness of the developed approach.