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.