Complex network synchronization analysis with neural network nodes and time-delays
Ali Kazemy · 2016
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.