Dual-stage impulsive control for synchronization of memristive chaotic neural networks with discrete and continuously distributed delays

This paper focus on the exponential synchronization problem of a class of memristive chaotic neural networks with discrete, continuously distributed delays and different parametric uncertainties using a novel impulsive control scheme (dual-stage impulsive control). By using the Lyapunov method combining with the comparison principle, a global synchronization error bound together with new sufficient conditions in the form of linear matrix inequalities (LMI) are derived in order to guarantee that the synchronization error dynamics can converge to the predetermined level. Simulation results further demonstrate the validation of the proposed results.