Synchronous Analysis Of Coupling Neural Network With Linear Control

Synchronization of coupled neural network system is one of the main content intoday’s research field, and it has penetrated into communication systems, electronicsystems, biological systems and other fields. Therefore, many scholars devoted to theresearch in this field and had obtained some important theory achievements.Especially in recent years, with the deeply further study of nonlinear science,conditions for synchronization could be strictly given.This paper investigates mainly the Hopfield neural network model forsynchronization problems of coupling neural network. Firstly, the Hopfield neuralnetwork model without delay is introduced, and theoretical analysis is done. Secondly,with the development of the recent research, the synchronization problem of thecontrol pulse coupled neural network is further studied. The network system and thesynchronization condition are modified, with the help of the pulse control theoryand lyapunov stability theory, and through constructing a suitable pulse controller,synchronization conditions of control pulse coupled neural network with pulse controlis deduced; Finally, synchronization problem of the complex neural network isstudied, through constructing a suitable linear feedback controller, synchronizationcondition of coupling neural network is deduced. Research methods and conclusionsof neural network for synchronization issues in this paper is important in futuresimulation research.