Simulation Analysis of the Mathematical Model for the Global Optimal Dispatching of Unmanned Aerial Vehicles

The UAV navigation global optimization scheduling model is a set of multivariate coupling system model, aiming at the nonlinear delay functional scheduling model the prematurity problem, put forward a kind of hyperbolic partial differential equations of wave motion optimization of UAV channel scheduling mathematical model based on global optimization. By using Levenberg-Marquardt nonlinear hyperbolic partial differential equations to construct parameter input and output control model of UAV navigation, global three times through the nonlinear characteristics of waterway measure decomposition scheduling optimization, partial differential equations singular semi positive periodic solutions obtained by Lipschitz convex conditions, according to the solution vector as the constraint parameter stability of functional channel scheduling, global optimization the fluctuation of channel scheduling model. The simulation results show that the proposed model has better convergence performance, and the error is less, and the reliability and robustness are better.