Learning of semi-empirical neural network model of aircraft three-axis rotational motion

We analyze the problems of mathematical and computer simulation of the controlled motion of an aircraft when the knowledge about the object and its operation condition is insufficient. The goal of this paper is to develop a class of modular semi-empirical dynamic models that combine the capabilities of theoretical and neural network based simulations. We analyze the learning procedure of such models in generating a multi-step forecast.