In this paper, we utilize the characteristics method to deduce several novel sufficient conditions for the global exponential stability of delayed inertial neural networks (DINNs). The proposed criteria are presented as a set of linear scalar inequalities, which notably do not entail the use of either reduced order method or Lyapunov-Krasovskii functionals (LKFs), distinguishing them from existing results and offering straightforward solvability. Lastly, we substantiate the analytical outcomes through three numerical examples accompanied by respective simulations.
In this paper, we utilize the...
