New Results for Exponential Synchronization of Memristive Cohen-Grossberg Neural Networks with Time-Varying Delays

摘要

This paper concerns the topic of exponential synchronization for a class of memristive Cohen-Grossberg neural networks with time-varying delays by designing a suitable controller. Through a nonlinear transformation, we obtain an alternative system from the considered memristive Cohen-Grossberg neural networks. Then, by studying the exponential synchronization of the alternative system, we get some novel and effective exponential synchronization criteria for the considered memristive Cohen-Grossberg neural networks. These results generalize some previous known results and remove a few restrictions on control width and time-delays. Finally, numerical simulations are given to present the effectiveness of the theoretical results.