Global exponential stability of Cohen-Grossberg neural network with piecewise constant argument
This paper mainly probed into the global exponential stability of the Cohen-Grossberg neural network with piecewise constant argument to obtainsufficient conditions for the existence and uniqueness of the equilibrium point.By using linear inequality method and constructing the appropriate Lyapunov functional,it puts forward the criterion to identify the global exponential stability of the equilibrium point of the system.Finally,it gave a numerical example to verify the validity of the obtained results.