Stabilization of delayed neural networks

Stability analysis of delayed neural networks has been extensively developed recently. As a continuation of their previous results, in this paper, the authors propose a new methodology for the stabilization of such networks. The approach is based on the inverse optima control technique, which has been introduced to nonlinear system in the last decade of the twentieth century. An example is included to illustrate the applicability of the proposed approach.