- Project number:
- 09I03-03-V04-00530
- Title of the project:
- Development of reliable and explainable models for industrial monitoring, optimization, and control
- Grant scheme:
- VAIA: Fellowships for excellent researchers R2-R4
- Project type:
- Operating programs
- Project duration (start):
- 01.09.2024
- Project duration (end):
- 31.08.2026
- Principal investigator:
- Radoslav Paulen
The DREAMINC project aims to revolutionize soft sensor technology, enhancing the safety and sustainability of chemical industries. Led by Prof. Radoslav Paulen, this interdisciplinary project focuses on three key goals:
- Interpretable Soft Sensors: Creating interpretable multi-linear models to efficiently capture complex process behaviors.
- Reliable Soft Sensors: Utilizing optimal experiment design and Bayesian-like approaches to improve model accuracy and identify knowledge gaps.
- Software Implementation: Developing an open-source toolkit for soft sensor design and conducting practical demonstrations.
These innovations bridge the gap between theory and industrial practice, contributing to a more efficient, autonomous, and sustainable chemical industry. The project aligns with EU goals for green and digital transformation and involves collaboration with academic and industrial partners for practical impact.
Publications
2025
- R. Fáber – M. Klaučo – K. Ľubušký – R. Paulen: Integrating Linear and Nonlinear Models for Enhanced Process Monitoring. Editor(s): R. Paulen and M. Fikar and J. Oravec, In Proceedings of the 2025 25th International Conference on Process Control, IEEE, pp. 1–6, 2025. Zenodo
- R. Fáber – M. Vaccari – R. Bacci di Capaci – K. Ľubušký – G. Pannocchia – R. Paulen: Multi-fidelity Modeling for Process Optimization in Refinery Operations. In 51st International Conference of the Slovak Society of Chemical Engineering SSCHE 2025, Slovak Society of Chemical Engineering, Bratislava, SK, pp. 140–140, 2025. Zenodo
- R. Fáber – M. Vaccari – R. Bacci di Capaci – K. Ľubušký – G. Pannocchia – R. Paulen: Improving Process Monitoring via Dynamic Multi-Fidelity Modeling. In 14th IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems, Elsevier, pp. 199–204, 2025. Zenodo
- R. Fáber – M. Vaccari – R. Bacci di Capaci – K. Ľubušký – G. Pannocchia – R. Paulen: Soft-Sensor-Enhanced Monitoring of an Alkylation Unit via Multi-Fidelity Model Correction. In Systems and Control Transactions, vol. 4, pp. 1389–1395, 2025.
- A. Fedor – J. Gaborčík – R. Paulen: Modelling and Simulation of Reaction-Separation Processes using gPROMS ProcessBuilder. In 51st International Conference of the Slovak Society of Chemical Engineering SSCHE 2025, Slovak Society of Chemical Engineering, Bratislava, SK, pp. 139–139, 2025. Zenodo
- B. Kumar – M. Malik: Time Scales-Based Analysis of Switched and Multi-Agent Systems: Stability, Controllabil- ity, and Consensus. Editor(s): R. Paulen and M. Fikar and J. Oravec, In Proceedings of the 25th International Conference on Process Control - Summaries Volume, Slovak Chemical Library, Slovak University of Technology in Bratislava, Radlinského 9, SK812-37, Bratislava, Slovakia, pp. 28–28, 2025.
- A. Maidi – R. Paulen – J. Corriou: Generic model control of diffusion-reaction systems. In 14th IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems, Elsevier, pp. 558–563, 2025. Zenodo
- A. Maidi – R. Paulen – J. Corriou: Zeroing Dynamics-Based Stabilizing Controller Design of Diffusion-Reaction Systems. 2025. Zenodo
- P. Valábek – J. Vargan – R. Paulen: Adaptive Optimal Control of Lettuce Growth in Greenhouses Using Sensitivity-Driven Measurement Collection. In 14th IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems, Elsevier, pp. 516–521, 2025. Zenodo
- M. Wadinger – R. Fáber – E. Pavlovičová – R. Paulen: Carbon Neutral Greenhouse: Economic Model Predictive Control Framework for Education. In 2025 23rd European Control Conference (ECC) June 24-27, 2025. Thessaloniki, Greece, pp. 2477–2482, 2025.
- M. Wadinger – R. Fáber – E. Pavlovičová – R. Paulen: Carbon neutral greenhouse: Economic model predictive control framework for education. European Journal of Control, vol. 83, pp. 101297, 2025.
Investigators
Responsibility for content: doc. Ing. Radoslav Paulen, PhD.
Last update:
26.09.2023 11:41