Fixed-time synchronization of discontinuous proportional delay inertial neural networks with uncertain parameters

The problem of fixed -time synchronization (FXS) for an assortment of discontinuous proportional delay inertial neural networks (DPDINNs) with uncertain parameters is addressed in this research. Through the utilization of fixed -time stability theory, reduced and non -reduced methods, constructing Lyapunov functionals (LFs), we establish two different control strategies to implement synchronization of DPDINNs with uncertain parameters in fixed -time. The appropriate synchronization criteria for algebraic inequalities conditions and settling times (STs) are derived. These criteria are less complicated and more convenient to verify than the calculation matrix inequalities conditions. At last, we provide two numerical instances to confirm that our conclusions are accurate.