Synchronization Analysis of Delayed Memristive Neural Networks with Inertial Terms

This article focuses on the synchronization problem of a class of delayed memristive neural networks (DMNNs) with inertial terms. Firstly, a synchronization scheme for delay inertial memristive neural networks (DIMNNs) is proposed by using variable substitution and incorporating intermittent adaptive control strategy. On this basis, a new Lyapunov-Krasovsky function is constructed and combined with advanced inequality techniques to derive a set of verifiable algebraic criteria for ensuring complete synchronization of the drive-response system. Finally, the correctness of the theoretical results was verified through rigorous numerical simulations, and the practical feasibility of the proposed scheme was demonstrated.