Global Exponential Stability Analysis of a Class of Dynamical Neural Networks

摘要

The problem of the global exponential stability of a class of Hopfield neural networks is considered.Based on nonnegative matrix theory,a sufficient condition for the existence,uniqueness and global exponential stability of the equilibrium point is presented.And the upper bound for the degree of exponential stability is given.Moreover,a simulation is given to show the effectiveness of the result.