Global stability of a larger class of dynamical neural networks
Sabri Arik · 2002
In this paper, we present a sufficient condition for the existence, uniqueness and global asymptotic stability (GAS) of the equilibrium point for a larger class of dynamical neural networks. It is shown that the diagonal dominance of the interconnection matrix guarantees the existence, uniqueness and GAS of the equilibrium point with respect to all nondecreasing activation functions.