Integro-Differential Models of Decision Support Systems for Controlling Unmanned Aerial Vehicles on the Basis of Modified Gradient Method

The application of the modified gradient method to decision support systems for controlling the unmanned aerial vehicle, given by integro-differentiation models with low nonlinearity, is considered. On the basis of the proved theorem, it is concluded that the given method coincides. The estimates of the rate of convergence are presented. The modified gradient method allows us to explore a broader class of dynamic models when considering the management problems of unmanned aerial vehicles.