On Approaches to Creating the Logical Inference Machines for Ensuring Compatibility and Integration of Systems and Controls

The article analyzes approaches to creating the logical inference machines to ensure compatibility and integration of the information systems in complex subject areas such as the energy industry. In the beginning, the article considers the logical inference machines capabilities in increasing reliability and transparency of the management processes, as well as improving the system integration. Next, a retrospective analysis of approaches to the construction of such machines is carried out. Special attention is paid to the conditions of application of each approach. Based on the analysis, the paper presents classification of the approaches according to the criteria of scalability, speed and resource consumption. In conclusion, it substantiates the advantages and effects of using the logical inference machines to ensure management of the complex systems and integration of the information flows.

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Publication Details

Published
2025-04-08
DOI
https://doi.org/10.1109/reepe63962.2025.10971033
Primary Topic
Advanced Data Processing Techniques
Type
article
Field-Weighted Citation Impact
0.00

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Controls
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article

On Approaches to Creating the Logical Inference Machines for Ensuring Compatibility and Integration of Systems and Controls

D V Aladin, Azat K. Bilalov, Leonid I. Ilinov
Advanced Data Processing Techniques
article

On Approaches to Creating the Logical Inference Machines for Ensuring Compatibility and Integration of Systems and Controls

D V Aladin, Azat K. Bilalov, Leonid I. Ilinov
article en

Abstract

The article analyzes approaches to creating the logical inference machines to ensure compatibility and integration of the information systems in complex subject areas such as the energy industry. In the beginning, the article considers the logical inference machines capabilities in increasing reliability and transparency of the management processes, as well as improving the system integration. Next, a retrospective analysis of approaches to the construction of such machines is carried out. Special attention is paid to the conditions of application of each approach. Based on the analysis, the paper presents classification of the approaches according to the criteria of scalability, speed and resource consumption. In conclusion, it substantiates the advantages and effects of using the logical inference machines to ensure management of the complex systems and integration of the information flows.

Bauman Moscow State Technical University (RU)
Bauman Moscow State Technical University
Openalex Percentile: Top 89%
Advanced Data Processing Techniques
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On Approaches to Creating the Logical Inference Machines for Ensuring Compatibility and Integration of Systems and Controls — D V Aladin, Azat K. Bilalov, et al. · (2025) | TGRS Research Map | TGRS