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INTELLIGENT SYSTEMS PROCESS CONTROL

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Antsyferov Sergey Sergeevich
Doctor of Technical Sciences, Professor, Federal State Budgetary Educational Institution of Higher Education "MIREA – Russian Technological University", Moscow.
78 Vernadskogo Avenue, Moscow, 119454, Russia, tel. +7499 600-80-80, ext. 23043, antsyferov@mirea.ru.
Research interests: artificial intelligence systems.

Fazilova Ksenia Nailevna
Candidate of Technical Sciences, Associate Professor, Federal State Budgetary Educational Institution of Higher Education "MIREA – Russian Technological University", Moscow.
78 Vernadskogo Avenue, Moscow, 119454, Russia, tel. +7499 600-80-80, ext. 25092, fazilova@mirea.ru.
Research interests: artificial intelligence systems.

Rusanov Konstantin Evgenievich
Candidate of Technical Sciences, Associate Professor, Federal State Budgetary Educational Institution of Higher Education "MIREA – Russian Technological University", Moscow.
78 Vernadskogo Avenue, Moscow, 119454, Russia, tel. +7499 600-80-80, ext. 23043, rusanov@mirea.ru.
Research interests: artificial intelligence systems.

UDC 681.518.9; 621.384.3
DOI 10.24412/2413-7383-2024-2-37-44
Language: Russian
Annotation: The article defines the principles of building intelligent process control systems. The results of practical testing of the proposed principles indicate the possibility of their application to a wide class of intellectual industries.
Keywords: technological process, technological operation, quality indicator, monitoring.

List of literature:
1. Vladimirova I.G. Organizational structure of company management // Modern management. 1999. № 4.
2. Bazilevich L.A. Models and methods of rationalization and design of organizational management structures. L.: LFEI, 1999. -80 p.
3. Milner B.Z., Oleinik I.S., Roginko S.A. The Japanese paradox. Realities and contradictions of capitalist management. Moscow: Mysl, 1985. 264 p.
4. Varyas Yu.V. Designing the organizational structure of management. M.: Znanie, 1999. 64 p.
5. Agafonova M.S. Development of the adaptation management mechanism of an industrial enterprise. // Successes of Modern Natural Science, 2011. pp. 71-72.
6. Lanchakov A.B. On the issue of assessing the effectiveness of the adaptive organizational structure of enterprise management. // Proceedings of Tula State University. Economic and Legal Sciences, 2017. pp. 67-71.
7. Zuev A.A. Adaptive organization structures and their types. // Economics and Management in the XXI century: Development trends, 2014. pp. 212-215.
8. Kasatskaya V.N., Yepremyan T.V. Matrix organizational structure as a management mechanism. // Modern discourses of sociological theory and practice, 2021. pp. 14-18.
9. Gavrilova Zh.L., Tsvetkov Ya.A. Project organizational management structure. // Youth Bulletin of IRSTU, 2015. p. 14.
10. Antonov V.G., Rumyantseva I.A., Krotenko T.Yu., Kazeeva O.G. // Methodological approaches to the formation of adaptive management structures. Bulletin of the University, 2019. pp. 5-15.
11. Lanchakov, A.B. Assessment of the degree of variability of the external environment in solving problems of preventive adaptation of the organizational structure of the enterprise / A.B. Lanchakov // Questions of education and Science. Part 3. International Scientific and Practical Conference: collection of articles. Tambov: -2017. pp. 27-28.
12. Burlaeva E.I., Zori S.A. Sravnenie nekotoryh metodov mashinnogo obucheniya dlya analiza tekstovyh dokumentov // Problemy iskusstvennogo intellekta. 2019. № 1 (12). S. 42-51.
13. Pikalyov YA.S. Obzor arhitektur sistem intellektual'noj obrabotki estestvenno-yazykovyh tekstov // Problemy iskusstvennogo intellekta. 2020. № 4 (19). S. 45-68.
14. Timofeev A. The future of our society and technical thinking systems // Problems of Artificial Intelligence. 2020. № 1 (16). P. 16-22.
15. Andrievskaya N.K. Ontologicheskij podhod v sistemah obrabotki dannyh nauchnyh i nauchno-obrazovatel'nyh organizacij // Problemy iskusstvennogo intellekta. 2020. № 1 (16). S. 23-36.
16. Andrievskaya N.K. Gibridnaya intellektual'naya mera ocenki semanticheskoj blizosti // Problemy iskusstvennogo intellekta. – 2021. № 1 (20). S. 4-17.
17. Pikalyov YA.S. Razrabotka sistemy normalizacii tekstovyh korpusov // Problemy iskusstvennogo intellekta. 2022. № 2 (25). S. 64-78.
18. Antsyferov S.S. Problemy iskusstvennogo intellekta // Problemy iskusstvennogo intellekta. 2015. № 0 (1). S. 5-12.
19. Antsyferov S.S., Sigov A.S. Tekhnologicheskie osnovy postroeniya intellektual'nyh sistem // Problemy iskusstvennogo intellekta. 2016. № 1 (2). S. 34-44.
20. Antsyferov S.S., Sigov A.S., Fazilova K.N. Metodologiya razvitiya intellektual'nyh sistem // Problemy iskusstvennogo intellekta. 2022. № 2 (25). S. 42-47.

Release: 2(33)'2024
Chapter: INFORMATICS, COMPUTER TECHNOLOGY AND CONTROL
How to quote: Antsyferov S. S. Fazilova K. N. Rusanov K.E. INTELLIGENT SYSTEMS PROCESS CONTROL [Text] / S. S. Antsyferov K. N. Fazilova K.E. Rusanov // Problems of artificial intelligence. - 2024. № 2 (33). - P. 37-44. - http://paijournal.guiaidn.ru/ru/2024/2(33)-4.html