Публікація:
Mathematical Modelling of Automation Objects Throughparametric Identification and Digital Twins

dc.contributor.authorFesenko, A. O.
dc.contributor.authorKolupaieva, I. V.
dc.contributor.authorRomashov, Yu. V.
dc.date.accessioned2025-04-08T07:27:31Z
dc.date.available2025-04-08T07:27:31Z
dc.date.issued2025
dc.description.abstractThe paper considers mathematical modelling of automation objects using linear differential equations, parametric identification, and digital twins. The dynamics of the object model is described through the relationship between the controlled parameter x(t) and the control parameter u(t). Accurate determination of coefficients based on experimental data allows us to adequately reproduce the dynamics of the system and promptly respond to changing operating conditions. Continuous monitoring, forecasting, and optimization of operating modes is facilitated by the integration of digital twins, which are constantly updated using data from sensors and SCADA systems. For high-tech and critical industries of Industry 4.0, it is very important that the synergy of these approaches increases the efficiency, reliability, and safety of automation object management
dc.identifier.citationFesenko A. O. Mathematical Modelling of Automation Objects Throughparametric Identification and Digital Twins / A. O. Fesenko, I. V. Kolupaieva, Yu. V. Romashov // Sustainable smart cities and communities: business and innovation solutions (SSC&C2025) : тези доповідей II-ої Всеукраїнськой конференції, 16-17 травня 2025. - Харків, 2025. – C. 50-52.
dc.identifier.urihttps://openarchive.nure.ua/handle/document/30249
dc.language.isoen
dc.publisherХНУРЕ
dc.subjectsmart cities
dc.subjectautomation objects
dc.subjectparametric identification
dc.subjectdigital twins
dc.titleMathematical Modelling of Automation Objects Throughparametric Identification and Digital Twins
dc.typeThesis
dspace.entity.typePublication

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