The paper discusses methods of constructing the kinetic equation of the technology process. The article presents a model of the interaction of objects of labor with technological equipment, which is the basis for the derivation of the kinetic equation. To describe the state of the production...

The multi-section transport conveyor model based on the neural network for predicting the output flow parameters is considered. The expediency of using sequential and batch modes of training of a neural network in a model of a multi-section transport conveyor has been investigated. The quality...

This paper considers a method for constructing optimal control of random deviations of flow parameters of a production line from the planned value, based on the method of Lyapunov functions. The problem of stabilization of the values of the flow parameters of the production line (the problem of...

The paper discusses methods of constructing the kinetic equation of the technology process. The article presents a model of the interaction of objects of labour with technological equipment, which is the basis for the derivation of the kinetic equation. To describe the state of the production...

In this article, the problem of constructing models of multi-section conveyor-type transport systems using a neural network is considered. The analysis of models of long-distance multi-section transport systems, which are used to design control systems of the flow parameters from the point of...

In this paper, a model of a transport conveyor system using a neural network is demonstrated. The analysis of the main parameters of modern conveyor systems is presented. The main models of the conveyor section, which are used for the design of control systems for flow parameters, are...

A hydrodynamic model of production systems with a flow method of organizing production is considered. The basic macro-parameters of the state of the production flow line and the relationship between them are determined. The choice of a lot of moment approximation for modelling the production...

Modelling complex economic systems is an effective method of research. The widespread class is formed by economic systems in which the determined character of observable processes is combined with their stochastic nature. Laws which are observed in systems of economic exchange, in many respects...

In this paper, the results of the model for forecasting the flow parameters of a distributed transport system of the conveyor type are briefly considered. It is shown that the model of the transport system based on the neural network can be successfully applied to predict the flow parameters of...