شماره ركورد كنفرانس :
3926
عنوان مقاله :
Complex Network Synchronization Analysis with Neural Network Nodes and Time-Delays
پديدآورندگان :
Kazemy Ali Kazemy@tafreshu.ac.ir Assistant Professor Electrical Engineering Department Tafresh University Tafresh, Iran, 79611-39518
كليدواژه :
component , Synchronization , Neural Network , Complex Network , Lyapunov–Krasovskii , Time , Delayed Systems
عنوان كنفرانس :
بيست و چهارمين كنفرانس مهندسي برق ايران
چكيده فارسي :
This paper deals with the synchronization of complex networks with neural network nodes and time-delays both in the neurons of the neural networks and coupling connections between them. Hence, larger class and more complicated neural complex networks can be considered for the synchronization problem. Some criteria are obtained and formulated in the form of linear matrix inequalities (LMIs), based on the Lyapunov Krasovskii functional, to ascertain the synchronization between each neural network of the network. The effectiveness of the proposed method is illustrated using a numerical simulation.