The aim of the work is to develop and create theories, methodologies and simulation models for intelligent control, which are aimed at improving the dynamic quality of control of nonlinear objects (NO) (such as manned aircraft, unmanned aerial vehicle, etc.) under uncertainty conditions, such as flight in a disturbed atmosphere, as well as the restoration of controllability of NO under conditions associated with the occurrence of equipment failures and damage to the structure, based on the theory and methods of reconfiguration of the control system of NO.