This research project involves the development and implementation of novel model predictive control algorithms applicable to process automation systems. It aims to improve the robustness and efficiency of industrial control systems. The project involves improving algorithms for real-time parametric identification of control object models and improving control system algorithms. The project will focus on adaptive strategies and numerical analysis of the efficiency of implementing the proposed algorithms. The key stage focuses on practical implementation to ensure direct industrial scalability and integration into existing programmable controllers. The proposed project is a basis for the exchange of scientific experience and competencies between partners, the expansion of international scientific cooperation, and the strengthening of relations between higher education institutions in Slovakia and Ukraine.