Exponential Synchronization for Discrete-time Memristive Neural Networks with Time-varying Delays

摘要

This paper considers the exponential synchronization problem for discrete-time memristive neural networks (DMNNs) with time-varying delays. By using a Lyapunov-Krasovskii functional (LKF) method and designing a suitable feedback controller, sufficient conditions are established in the form of linear matrix inequalities (LMIs), which guatantee the exponential synchronization of master and slave systems with time-varying delays. Finally, a numerical example is presented to illustrate the effectiveness of the derived theoretical results.