Input-to-state stability (ISS) analysis for dynamic neural networks
Edgar Nelson Sanchez, José P. Pérez · IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications · 1999
In this paper a novel approach to assess the stability of dynamic neural networks is presented. Using a Lyapunov function, we determine conditions to guarantee input-to-state stability (ISS) which also ensures global asymptotic stability (GAS). The applicability of these conditions is illustrated by two examples.