Global Exponential Stability of the Periodic Solution of a Discrete-Time Complex-Valued Hopfield Neural Network with Delays and Impulses

摘要

The global stability of the periodic solution of a discrete-time complex-valued Hopfield neural network is studied. By introducing an appropriate Lyapunov functional it is proved that any two solutions of the system exponentially approach each other with time.