Global robust stability of delayed neural networks
Sabri Arik · IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications · 2003
This work presents a sufficient condition for the existence, uniqueness, and global robust stability of the equilibrium point for Hopfield-type delayed neural networks. The result imposes constraint conditions on the boundary values of the network parameters independently of the delay parameter. This result is compared with the previous results derived in the literature.