Exponential stability of high-order Cohen-Grossberg neural networks with time delay
Haijun Jiang · Shinjang dashösi ilmiy jurnili · 2008
In this paper,a class of high-order Cohen-Grossberg neural networks with time delay is investigated.The activation functions are assumed to be Lipschitz continuous and bounded.A new sufficient condition is obtained to ensure the existence and uniqueness of the equilibrium based on the nonlinear measure.Meanwhile,the condition obtained also guarantees the global exponential stability of the delayed neural networks via constructing a suitable Lyapunov function.