Dynamics of Cohen–Grossberg neural networks with time-varying delays

This Letter studies the Cohen–Grossberg networks dynamical systems with variable coefficients and time-varying delays. By applying the Young inequality technique, Dini derivative and introducing many real parameters, and estimating the upper bound of solutions of the system, a series of new and useful criteria on the boundedness, global exponential stability are established. The results obtained in this Letter extend and generalize the corresponding results existing in previous literature.