Гібридний фреймворк для адаптивного неперервного контролю на базі нейронних операторів Фур’є

• Date: 2026
• Main Authors: Петровський, Олександр, Лясковська, Соломія
• Format: Article
• Language: English
• Published: Kamianets-Podilskyi National Ivan Ohiienko University 2026
• Online Access: https://mcm-tech.kpnu.edu.ua/article/view/354699
• Journal Title: Mathematical and computer modelling. Series: Technical sciences

Hybrid adaptive control methods are of high scientific interest and industrial urgency due to their ability to address the weaknesses of both model-driven and data-driven controllers, as the former are reliable and predictable, but rigid and often suboptimal, while the latter provide eventual optima...