Multisynchronization of a class of delayed memristor-based neural networks

This paper investigates the multisynchronization problem of a new class of delayed memristor-based neural networks (DMNNs). To address this problem, a class of feedback controller is designed. By employing the Lyapunov stability theory, the corresponding sufficient conditions for achieving multisynchronization of DMNNs with the presented feedback control are derived. It implies that multiple agreements of system responses are obtained via the dynamical evolution of the controlled DMNNs. Finally, a simulation experiment is presented to verify the validity and feasibility of the main result of the DMNNs.