Delay-independent and delay-dependent stability of a novel delayed neural networks by Lyapunov functional based approaches

This paper is devoted to stability analysis of a novel delayed neural network, whose neurons are connected with each other through both neurons´ feedback connection strength matrix and direct connection strength matrix. Both delay-independent and delay-dependent stability criteria are obtained with Lyapunov-Krasovskii functional method. The criteria are in form of LMI with more slack variables, which may enlarge the range in selecting neural networks´ parameters. Moreover, with these introduced slack variables, the criteria become less conservative