New Conditions for Global Asymptotic Stability of Memristor Neural Networks

Recent papers in the literature introduced a class of neural networks (NNs) with memristors, named dynamic-memristor (DM) NNs, such that the analog processing takes place in the charge–flux domain, instead of the typical current–voltage domain as it happens for Hopfield NNs and standard cellular NNs. One key advantage is that, when a steady state is reached… CONTINUE READING