DEVELOPMENT OF INTERACTIVE MODELING METHODS FOR THE SYNTHESIS OF INTELLIGENT CONTROL SYSTEMS FOR TECHNICAL OBJECTS IN THE DIGITAL ECONOMY
DOI:
https://doi.org/10.5281/zenodo.18266852Keywords:
interactive modeling, intelligent control systems, digital economy, technical objects, system synthesis, simulation, adaptive controlAbstract
The digital economy has intensified the complexity of technical objects and increased the demand for intelligent,
adaptive, and data-driven control systems. Traditional control design approaches are often insufficient to address
uncertainty, dynamic environments, and real-time decision-making requirements. This study investigates the development
of interactive modeling methods for the synthesis of intelligent control systems for technical objects operating in digital
economic conditions. The research evaluates how interactive modeling influences system adaptability, control accuracy,
development efficiency, and decision-making quality. A mixed-methods research design was applied, involving simulation
experiments, expert evaluations, and performance analysis of intelligent control systems. Quantitative results demonstrated
a 30% improvement in control accuracy and a 35% reduction in system development time. Qualitative findings revealed
enhanced system transparency, improved designer interaction, and higher robustness of control strategies. The study
highlights the importance of combining interactive modeling, intelligent algorithms, and data-driven synthesis methods to
improve the effectiveness of control systems in the digital economy.
References
1. Åström, K. J., & Murray, R. M. (2010). Feedback Systems: An Introduction for Scientists and Engineers. Princeton
University Press.
2. Wang, L., Törngren, M., & Onori, M. (2015). Cyber-physical systems in manufacturing. Journal of Manufacturing
Systems, 37, 517–527.
3. Zhou, K., Liu, T., & Zhou, L. (2016). Industry 4.0: Opportunities and challenges. FSKD Proceedings, 2147–2152.
4. Lee, J., Bagheri, B., & Kao, H. A. (2015). A cyber-physical systems architecture for Industry 4.0. Manufacturing Letters,
3, 18–23.
5. Qin, S. J. (2012). Survey on data-driven industrial process monitoring. Control Engineering Practice, 21(3), 452–466.
6. Nguyen, T., & Tran, D. (2021). Intelligent control systems in digital industries. International Journal of Control and
Automation, 14(2), 67–82.
7. Silva, M., & Pereira, R. (2020). Interactive modeling and simulation for complex systems. Simulation Modelling Practice
and Theory, 102, 101–118
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 GREEN ECONOMY AND DEVELOPMENT
This work is licensed under a Creative Commons Attribution 4.0 International License.