V. A. Trapeznikov Institute of Control Sciences (Russian Academy of Sciences), Moscow, Russia:

Z. G. Salikhov, Honoured Science Worker of the Russian Federation, Professor, Chief Researcher of the Laboratory of Control Systems Identification, e-mail: zuf1940@yandex.ru
K. S. Ginsberg, Senior Researcher of Laboratory of Control Systems Identification

General concepts are given of the identification of mathematical models for multivariable automated process forecasting, training and control systems. Identification is considered as a systematic approach to the object (system) and the human subject as an important component of core activities for the creation of a real system with the mentioned features. General concepts of the relationship between the subject (identifier) and object (system) help to create an automation methodological basis for the identification process itself. By elaborating on these concepts and making them more specific, one may come to a full understanding of the cognitive activity behavioral pattern and importance of identification subject at the pre-design stage and in the course of creation of real multifunctional systems. However, complex issues happen to take place during the mathematical support development for a behaviour pattern. The issue, relating to the mathematical description of this relationship and the objective of quantitative assessment of the influence of cognitive abilities and knowledge of the subject on the process of achieving the required quality parameters of systems, have not been sufficiently studied yet. In fact, currently any scientific and technical publication starts with the development of a mathematical model for the phenomena are investigated. However, identification matters have not been already fully resolved on the basis of scientifically proven regularities and their quantitative assessments that meet the equation conditions at all intervals of model and object state coordinates variation. The biggest problem of identification of complex system mathematical models (in particular of control systems for nonferrous metallurgy processes) sill remains the lack of behaviour pattern of cognitive activity of the identification subject at pre-design stage and during the implementation of the working design of real automatic control system for complex facility. In the context of scientific and technical issues described in the article, the idea of necessary detailed scientific and engineering investigation into the relationship of human factors with the processes of improvement, identification and design of complex automated systems becomes clearly visible. The main characteristics of this relationship are given on the basis of theory and experience which were accumulated in the laboratory No. 41 at the V. A. Trapeznikov Institute of Control Sciences and JSC “Soyuztsvetmetavtomatika”.

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