New Lyapunov methodology: asymptotic stability of Hopfield neural networks

The paper develops a new Lyapunov methodology for Hopfield neural networks (HNN). It determines an algorithm for an exact construction of a Lyapunov function v(.) for given HNN, which is based on a complete set of the necessary and sufficient conditions for (global) asymptotic stability of the isolated equilibrium state x=0.