The Control of Accuracy of Information Transmission in Systems of Unsteady Nature Data Processing

The complex of methods, models, algorithms and software of accuracy increase of unsteady nature data control on the basis of use of statistical and dynamic data properties has been investigated and developed; the areas of their efficiency and limiting probabilities have been investigated; the algorithms of information control in operation of remote system data processing, as well as in the systems of images processing of micro objects have been practically realized. Calculation techniques of statistical parameters of the controlled information have been developed. The estimations of root-mean-square errors of information control for a wide class of data control algorithms on borders of the permitted values, on increments have been received. Principles and rules of the adaptive data control of unsteady process have been developed by regulation of control borders, regulation of borders arrangement level, change of parameters of statistical prediction models, the choice of optimum models on increments characteristics, the choice of the best models and algorithms of a neural network which allows to reduce information errors considerably at discovered errors correction. The general and individual decisions of problems giving estimations of efficiency area and limiting probabilities of developed algorithms have been received.