Global exponential stability analysis of delayed Cohen-Grossberg neural networks with distributed delays

摘要

In this article, the global exponential stability problem of Cohen-Grossberg neural networks with both discrete-time delays and distributed delays is investigated. The existence and global stability for the unique equilibrium of the Cohen-Grossberg neural networks with distributed delays are achieved by using some new Lyapunov functionals, M-matrix theory and some analytic techniques, and some less restrictive conditions are obtained. An example is also worked out to validate the advantages of our results.