CORDIS Project
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This project develops a robust model predictive control system for industrial processes, addressing plant-model mismatches. It aims to enhance operational efficiency by integrating data-driven models with existing control solutions, ensuring reliable and resource-efficient production.
Model predictive control (MPC) is widely used in process industries to control constrained systems with multiple input and outputs.
Traditionally, the MPC is used in a two layer architecture where the upper layer gives the economic optimal operating point and the MPC is used in the lower layer tracks the optimal operating point.
Recent studies shows that a significant improvement in the economic performance of the plant can be obtained if both the layers are combined together.
One of the pressin…
SLOVENSKA TECHNICKA UNIVERZITA V BRATISLAVE
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