Periodicity and synchronization of coupled memristive neural networks with supremums ?
A general model of memristive neural network with supremums is proposed. Different from traditional Lyapunov method, a novel ?-matrix measure approach is adopted. Several simple but efficient criteria are derived for the periodicity and stability of the proposed model. The method is further applied to the synchronization control of driveresponse neural networks.
coupled memristive neural networks periodicity and stability matrix measure global exponential synchronization