Solving for time-varying inverse square root by different ZD models based on different Zhang functions

A novel class of neural dynamics, Zhang dynamics (ZD), has been recently proposed for online time-varying problem solving. The design method of ZD is based on an indefinite error-monitoring function called the Zhang function (ZF), instead of the conventional norm-based scalar-valued energy function. In this paper, different ZD models based on different ZFs are proposed and developed for solving the time-varying inverse square root (TVISR) problem. In addition, this paper investigates the modeling of the proposed ZD models using MATLAB Simulink techniques. Results of the MATLAB Simulink modeling substantiate the efficacy and superiority of the ZD models for TVISR problem solving.