Global Exponential Robust Stability of Delayed Hopfield Neural Networks with Reaction-Diffusion Terms

摘要

Some conditions ensuring existence, uniqueness for a class of delayed interval Hopfield neural networks with reaction-diffusion terms are proposed in this paper. Applying vector Lyapunov function and M-matrix theory, the global exponential robust stability of the system is studied. The obtained conditions containing diffusion terms improve the conservative of the previous results. An illustrated example shows how to use our results in practice.