Control of Computational Processes Using Identification Methods in Natural Modeling

The growth of requirements for modeling tools, as well as the volume of tasks solved by modeling methods, leads to the need to create productive modeling systems of a high technical level, which are complex and extensive complexes of functional elements, nodes and units that ensure the implementation of various stages of the modeling process. Thus, when developing, researching, synthesizing and assessing the quality of work of modern modeling tools, the latter should be considered as systems with their own theory, principles of construction, implementation features and areas of application. One of the natural, in modern conditions and promising directions for significantly raising the technical level of modeling tools is their intellectualization by implementing complex procedures using technical and software tools, which in principle can be achieved only on the basis of the widespread use of modern computer technology in modeling systems. The features of the organization of the computational process of the class of full-scale simulators implemented on an analog-digital (hybrid) computer are considered. The effectiveness of using an analog processor as a dynamic model of an object in hybrid full-scale simulators is shown, which is due to high speed due to parallelization and non-algorithmic calculations during dynamics modeling. An approach to controlling the computational process in full-scale simulation is proposed, which is based on identification methods, and constructive expressions for evaluating the functioning of computational and control systems of hybrid full-scale simulators are obtained.