Building a macro and micro model of a multistage process is considered using the decomposition method, dividing the general technological system into interconnected control loops. A procedure for constructing an integrated macro model of a multistage process using a system of material balance equations for each control loop, a two-level mathematical model of a complex multistage system, developing principles for modeling and systematizing element models, the degree of aggregation, in general, controlling the technological properties of a material resource, calculating the schemes is reduced to solving a system of algebraic equations, modern technological scheme processing of a material resource, the procedure for constructing an integrated macro model multistage process (SME). A modern technological scheme for processing material resources cannot be carried out without returning circulating products when the product from subsequent nodes is sent for revision to the head of the technological scheme. The procedure for constructing an integrated macro model of SME s at two stages is considered. The task is to find the optimal solutions to the original mathematical model by interconnecting conditionally - optimal solutions of individual models. A comparison of various formal decomposition methods is performed according to previously determined criteria, and on this basis, the most preferable is chosen. When modeling multidimensional systems, one has to operate with various factors that have different units of measurement. Therefore, it is advisable to determine the dimensionless mathematical model since it is easily analyzed. The use of the latest mathematical modeling tools and modern methods of the flexible equation mainly determines the prospects of such studies.

Blockchain is a distributed data storage technology that contains information about all transactions of the system participants in the form of "blockchain". Blockchain offers a way to reliably execute processes, ensures stable operation, eliminates the possibility of duplication of information and reduces costs. The promising technology is rapidly gaining popularity and is being implemented in various fields, including business process management. However, while blockchain technology has been around for several years, many business leaders are still not familiar enough with it because little information is available, and blockchain technology has not yet been widely applied to enterprise infrastructure. Therefore, blockchain technology for business process management remains a hot topic, and the significant benefits of blockchain technology in improving business efficiency cannot be overlooked. Thus, this article will discuss the main features of blockchain technology use in business process management. The main advantages of technology implementation and its disadvantages are also given, the problems that may be faced by business executives are considered. In addition, the important aspects of using blockchain technology in business process management are analyzed.

The work uses the method of standard characteristic polynomials, based on the Lyapunov theorem on adaptive control systems, the theory of flexible and robust control, methods of the theory of nonlinear systems. When modeling an internal combustion engine, methods of identification theory were additionally involved. When obtaining theoretical results, the method of Lyapunov functions, the method of standard characteristic polynomials, methods of the theory of adaptive and robust control, methods of the theory of nonlinear systems were used. When constructing a model of an internal combustion engine, methods of identification theory were additionally involved. For the synthesis of control systems in conditions of uncertainty, one of the topical directions is adaptive systems. These are control systems that compensate for parametric, signal, functional, or structural uncertainties of the control object by automatically adjusting the controller during the system's working operation, i.e., adaptive systems make up for the lack of a priori information about the control object during operational operation. To solve the problem of managing undefined objects, for example, classical methods are used. In such methods, when state variables are immeasurable, it becomes necessary to use additional dynamic filters. Classical methods are more often used for a limited class of objects. In the case of class extension, the structure of the control algorithm becomes more complicated.

In article the method, allowing to use possibility of a neural(neuronic) network for forecasting of tax base of region is offered. The given method is suitable for working out of the positive shortterm forecast.

No abstract