摘要：We study the dynamical behavior of a class of neural network
models with time-varying delays. By constructing suitable Lyapunov
functionals, we obtain sufficient delay-dependent criteria to
ensure local and global asymptotic stability of the equilibrium of
the neural network. Our results are applied to a two-neuron system
with delayed connections between neurons, and some novel
asymptotic stability criteria are also derived. The obtained
conditions are shown to be less conservative and restrictive than
those reported in the known literature. Some numerical examples
are included to demonstrate our results.
