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.