The authors consider the following neural network with multiple delays
where is the neuron state vector, is a positive diagonal matrix, , are the interconnection matrices, denotes the neuron activation with and is a constant input vector, while being the delay parameters.
The authors present sufficient conditions for the origin to be asymptotically stable by constructing a Lyapunov-Krasovskii functional for the cases where the time delays are constants or are time-varying, respectively. The main results are generalizations of some results reported in the literature. Three examples are given in this paper.