On Global Exponential Stability of Discrete-Time Hopfield Neural Networks with Variable Delays

摘要

Global exponential stability of a class of discrete-time Hopfieldneural networks with variable delays is considered. By making use ofa difference inequality, a new global exponential stability resultis provided. The result only requires the delay to be bounded. Forthis reason, the result is milder than those presented in theearlier references. Furthermore, two examples are given to show theefficiency of our result.