Sampled-Data Synchronization for Chaotic Neural Networks with Mixed Delays

This paper focuses on designing an appropriate sampled-data controller to deal with the problem of master-slave synchronization for chaotic neural networks with discrete and distributed time varying delays in the presence of a constant input delay. The striking feature of this article is that we utilize the decomposition approach of delay interval when constructing a new Lyapunov functional. Besides, combining with the input delay approach and the linear matrix inequalities (LMIs) method, the desired sampled-data controller gain can be obtained by using the Matlab software to solve a series of LMIs. Finally, a numerical example is provided to verify the effectiveness of the given results.