Computer Algorithms for Real-Time Process Control Based on the Synthesis Method

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The article discusses currently relevant computer algorithms designed to control processes in real time. Within the framework of these algorithms, the direct synthesis method, which helps to increase the efficiency of control processes, is implemented. Experts focus on the development of synthesis algorithms that may adapt to a dynamically changing external environment, which is an essential element in the development of modern adaptive control systems. This publication presents an innovative method for developing an intelligent control algorithm aimed at improving the efficiency of dynamic systems. The developed algorithm is characterized by significant adaptability and ability to self-learn, which ensures its high efficiency in scenarios associated with the influence of unforeseen external factors and the need for prompt response to the change dynamics. The study presented in the article discovers new prospects for the development of intelligent control systems and can become the basis for future scientific developments and practical applications in this area.

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Forecasting, control model, model, differential equations, dynamic control, control of complex systems

Короткий адрес: https://sciup.org/140313574

IDR: 140313574   |   УДК: 004.855.5   |   DOI: 10.18469/ikt.2025.23.2.13