Stability criteria for delayed neural networks - art. no. 051901

In this paper, delay-independent global asymptotic and exponential stabilit y for a class of delayed neural networks (DNN's) is investigated, and some criteria are established to ensure stability of DNN's by applying the Lyapu nov direct method. These criteria are expressed by imposing constraints on weight matrices of the networks, and they Bare easy to verify and so are ap plicable in the design of DNN's. Comparisons between our criteria and some earlier results are also made; it is shown that our results generalize some existing criteria in the literature.