As the ELO-X Project is approaching its final phase, a new video summarizing the project’s motivation, goals, and impact has been released by the Consortium.
Category: H2020
New learning-based MPC project SLIMPEC kicks off
Implementing model-based control systems in industrial applications presents two significant challenges: developing accurate yet robust mathematical models and calibrating controller parameters to ensure optimal performance, not only in ideal conditions but throughout the product’s lifecycle. These processes are often time-intensive, technically demanding, and costly.
To overcome these challenges, the new project SLIMPEC will create advanced software tools that leverage machine learning and control system theory. These tools aim to:
- Construct physics-informed predictive models that seamlessly integrate white-box process knowledge with data-driven learning and adaptive techniques, and
- Establish (semi-)automated calibration methods to deliver near-optimal parameter tuning offline while enabling real-time adjustments to adapt to evolving operating conditions.
The project, kicked-off on November 1st, 2023, and expected to complete by October 31st, 2026, is carried out by ODYS and SUPSI within the Eureka Eurostars programme of Horizon Europe.
15 Marie Curie PhD positions in new ITN ELO-X
ELO-X is currently recruiting 15 Early Stage Researchers (ESR) as Marie Skłodowska-Curie PhD candidates in top research universities and companies across Europe. ODYS will host one position. Read more »