New Second-Level-Discrete Zeroing Neural Network for Solving Dynamic Linear System

Dear Editor, This letter deals with a new second-level-discretization method with higher precision than the traditional first-level-discretization method. Specifically, the traditional discretization method utilizes the first-order time derivative information, and it is termed first-level-discretization method. By contrast, the new discretization method not only utilizes the first-order time derivative information, but also makes use of the second-order derivative information. By combining the new second-level-discretization method with zeroing neural network (ZNN), the second-level-discrete ZNN (SLDZNN) model is proposed to solve dynamic (i.e., time-variant or time-dependent) linear system. Numerical experiments and application to angle-of-arrival (AoA) localization show the effectiveness and superiority of the SLDZNN model.