LMI-based criteria for robust stability of Cohen-Grossberg neural networks with delay

This Letter considers the robust stability analysis of delayed Cohen-Grossberg neural networks. Based on the Lyapunov stability theory and linear matrix inequality (LMI) technique, several sufficient conditions guaranteeing the global robust convergence of the equilibrium point are derived. The main results are compared with some existing results and an error in an earlier publication is reported. An example is also given to illustrate the effectiveness of our results.