Control Loop Intellectualization in Human-Machine Systems

This paper examines the components of the intelligent control loop from the point of view of various parameters. In the context of the AI data life cycle, each stage of the cycle was analyzed based on the criteria of functions, requirements and limitations of the human and machine components of the intelligent control loop. In conclusion, it is concluded that the intelligent (machine) component within the considered AI data life cycle “actively” plays its role at the stages of model building and operation of the AI system. In turn, the activity of the human operator (human component) is always performed, regardless of the specific stage. Understanding the amount of necessary work, the tasks that must be performed to create and operate AI systems at each stage will improve the quality of AI work due to precise compliance with requirements, achieve efficient use of resources (time, human, technical) in design and development.

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Publication Details

Published
2025-04-08
DOI
https://doi.org/10.1109/reepe63962.2025.10970795
Primary Topic
Real-time simulation and control systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Control Loop Intellectualization in Human-Machine Systems

Boris S. Goryachkin, Kirill P. Grishin
Real-time simulation and control systems
article

Control Loop Intellectualization in Human-Machine Systems

Boris S. Goryachkin, Kirill P. Grishin
article en

Abstract

This paper examines the components of the intelligent control loop from the point of view of various parameters. In the context of the AI data life cycle, each stage of the cycle was analyzed based on the criteria of functions, requirements and limitations of the human and machine components of the intelligent control loop. In conclusion, it is concluded that the intelligent (machine) component within the considered AI data life cycle “actively” plays its role at the stages of model building and operation of the AI system. In turn, the activity of the human operator (human component) is always performed, regardless of the specific stage. Understanding the amount of necessary work, the tasks that must be performed to create and operate AI systems at each stage will improve the quality of AI work due to precise compliance with requirements, achieve efficient use of resources (time, human, technical) in design and development.

Bauman Moscow State Technical University (RU)
Openalex Percentile: Top 89%
Real-time simulation and control systems
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