GLOBAL EXPONENTIAL STABILITY OF A CLASS OFNEURAL NETWORKS WITH UNBOUNDED DELAYS

摘要

In this paper, the global exponential stability of a class of neural networks is investigated. Theneural networks contain variable and unbounded delays. By constructing a suitable Lyapunovfunction and using the technique of matrix analysis, we obtain some new sufficient conditions forglobal exponential stability.