Linear matrix inequality approach to exponential synchronization of a class of chaotic neural networks with time-varying delays

In this paper, a synchronization scheme for a class of chaoticneural networks with time-varying delays is presented. This class ofchaotic neural networks covers several well-known neural networks,such as Hopfield neural networks, cellular neural networks, andbidirectional associative memory networks. The obtained criteria areexpressed in terms of linear matrix inequalities, thus they can beefficiently verified. A comparison between our results and theprevious results shows that our results are less restrictive.