Exponential Stabilization of the Coupled Dynamical Neural Networks with Nodes of Different Dimensions and Time Delays

A class of coupled neural networks with different internal time-delays and coupling delays is investigated, which consists of nodes of different dimensions. By constructing suitable Lyapunov functions and using the linear matrix inequality, the criteria of exponential stabilization for the coupled dynamical system are established, and formulated in terms of linear matrix inequality. Finally, numerical examples are presented to verify the feasibility and effectiveness of the proposed theoretical results.