Deployed model of extremal system operation for solving optimal management problems

TL;DR

This paper presents a new method for constructing a reduced, deployed mathematical model of system operation that improves data accuracy and process identification for optimal management problems.

Contribution

It introduces a novel approach to develop a reduced deployed model of system operation using agent and system methods, enhancing data accuracy and process understanding.

Findings

The deployed model provides access to data at each point of the operation process.

The new approach improves the accuracy of operation identification.

It enables better scientific insights in operations research.

Abstract

The reduced, simplified registration mathematical model of the system operation, obtained by scaling the registration signals of the basic model and determining the sum of the reduced, integrated flow rates by the input and output of the system under study was constructed. The studies of this traditional, for today model have shown the problem, associated with the existing approach in operations identification. As a result of using the agent model and system approach, it was found that registration model of the operation is not based on the data, actually describing the process under investigation. The new idea of the studied process has allowed to develop a method for constructing the reduced, deployed model of the operation. The deployed model of the operation allows to get access to data of operations at each point of the model of the operation process. The developed approach to constructing the mathematical model of the reduced deployed operation allows more accurate identification of the operation and its use to obtain new scientific results in the field of operations research.