Exponential stability for generalized neural networks with time-varying delay

The stability of equilibrium states for Cohen-Grossberg generalized neural networks with time-varying delays is discussed. By employing the extended Halanay's delay differential inequality, constructing suitable Lyapunov functions and the inequality technique discussed the exponential stability of equilibrium states of generalized neural networks with time-varying delays. Some sufficient criteria for the asymptotic exponential asymptotic stability of the system are obtained.