GLOBAL EXPONENTIAL ROBUST STABILITY OF DELAYED NEURAL NETWORKS
Xiaolin Li, Jinde Cao · International Journal of Bifurcation and Chaos · 2004
In this paper, several simple and new conditions are presented to ensure existence, uniqueness and global exponential robust stability of the equilibrium point of neural networks with delays by using contraction mapping principle, homeomorphism property and Lyapunov method. The conditions given in this paper are easy to verify and apply, and the obtained results improve and extend to those in the literature. In addition, two examples are given to show the effectiveness of the proposed results.