METHODOLOGICAL FOUNDATIONS OF INTERACTIVE MODELING FOR INTELLIGENT CONTROL SYSTEMS IN DIGITAL ECONOMIC ENVIRONMENTS
Abstract
This paper explores the role of interactive modeling methods in the synthesis of intelligent control systems for technical objects within the digital economy. The study focuses on how interactive simulation environments, human-in-the-loop modeling, and adaptive control design contribute to the reliability, flexibility, and efficiency of control systems operating in data-intensive digital infrastructures. An analytical and system-oriented approach is applied to examine interactive modeling as a tool for supporting decision-making during control system synthesis. The results indicate that interactive modeling enhances system configurability, improves coordination between control logic and digital platforms, and supports continuous system adaptation in dynamic economic conditions. The research emphasizes that interactive modeling methods are essential for aligning intelligent control systems with the requirements of the digital economy.
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