Description: For the first time, new method of solving incorrect problems of extrapolation for information and mathematical supply of the automated control systems for transport by means of multi-criteria optimization and differential transformations which allows to raise quality of the information about a state of the high-speed transports are developed. The method of extrapolation is improved; this method differs from the other ones by using the multi-criteria optimization by means of the non-linear compromise schema, and this allows reducing the error of extrapolation. For the first time, it is used of method of even areas on the basis of the differential taylorian transformation of process of extrapolation signals for the control of a state of the high-speed transports. The method of extrapolation the information about the high-speed transports of the automated control systems which differs from known by the common application of multi-criteria optimization and the based differential transformations of the information is offered for the first time; accuracy and stability of extrapolation the information on a state of high-speed transports in conditions of uncertainty and noise is the obtained result. The new method validified experimentally, as a result of prognosis within the limits of the set error coincides with experimental dependences. The new method of prognosis allows to carry out the prognosis of experimental data in different additions.
Keywords: the prognosis of experimental data, incorrect problem, multi-criteria optimization, differential transformations