Global asymptotic stability of neural networks with delay: Comparative evaluation of two criteria

In [IEEE Trans Circ Syst II 2005;52(4):181–4], a criterion for the global asymptotic stability of a class of delayed neural networks has been presented. The criterion is based on the factorization B = B1B2, where B denotes the delayed connection weight matrix. In the present paper, this criterion is compared with the criterion reported in [Phys Lett A 2003;311(6):504–11]. It turns out that, as far as the case of a nonsingular matrix B1 is concerned, these two criteria are one and the same.