Industrial Automatic Control Systems and Controllers Annotation << Back Algorithmic Support of Information Processing in Information Subsystems of Guidance Complexes Operating in a Confl ict Antagonistic Situation Gromov Yu.Yu., Bunin A.V., Samharadze G.T., Potapov A.N., Nachalov A.L., Khasanov V.R. The article considers the issues of developing algorithmic support for information processing in information subsystems of active homing complexes operating in a confl ict antagonistic situation. It is shown that the reliability of information processing in the information subsystems of active homing complexes plays an important role. The proposed algorithm for analyzing input information is presented. When developing an algorithm for analyzing input information, the question was raised about the expediency of applying a sequential normalization procedure for the data set received for processing. Нe use of this procedure makes sense only if a situation arises when at least one analyzed object from the input data received for processing can be assigned to more than one class. It is shown that the processing of input information at the preparatory stage should be divided into two sub-stages, namely: a preliminary analysis of the catalog of reference values in order to identify parametric intersections of acceptable intervals; an analysis of the input data set for the parameters of the analyzed objects to fall into the parametric intersections of acceptable intervals of the catalog of reference values. The problem of convergence of the classifi cation problem is solved when using the sequential normalization procedure based on tracking and not including problematic objects in the object classifi cation matrix. Algorithms have been developed for representing the object classifi cation matrix in the form of orthogonal lists and analyzing the results of information processing. The developed algorithm for representing the object classifi cation matrix in the form of orthogonal lists implemented in information subsystems of homing complexes operating in a conflict antagonistic situation. Keywords: Structure, stability, estimation, parameter, information subsystem, vector, information, algorithm, filtering. Pp. 15-26.