Synchronization Control of Time-Delay Inertial Memristive Neural Networks with Unknown Parameters

This study investigates the synchronization control problem of drive-response systems in inertial memristive neural networks with unknown parameters and time delays. Initially, nonsmooth analysis theory is employed to analyze and process both the drive and response systems, and a drive-response error system is established using a non-order-reduction approach. Subsequently, a state feedback controller and corresponding weight update rules for the unknown parameters are designed. By applying Lyapunov stability theory, the error system is analyzed, and synchronization control criteria for inertial memristive neural networks with unknown parameters and time delays are derived.