Identification and stochastic optimizing the UAV control law

Abstract

In the class of diffusion Markov processes, the problems on identifying nonlinear stochastic dynamic systems with random parameters, multiplicative and additive noises, control functions and a state vector at a final moment are considered.
The developed methods on identification and stochastic optimization of the unmanned aerial vehicles autopilot parameters during a turning maneuver under wind disturbances caused by atmospheric turbulence are presented.