A sufficient condition for absolute stability of a larger class of dynamical neural networks
Sabri Arik, V. Tavşanoglu · IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications · 2000
In this paper, we present a sufficient condition for absolute stability of a larger class of dynamical neural networks. It is shown that the H-matrix condition on the interconnection matrix ensures the existence, uniqueness and global asymptotic stability (GAS) of the equilibrium point with respect to slope-limited activation functions.