Project number:
09I03-03-V04-00636
Title of the project:
Pokročilé metódy riadenia pre produkciu s efektívnym využitím zdrojov
Grant scheme:
NextGenerationEU through the Recovery and Resilience Plan for Slovakia under the project No. 09I03-03-V04-00636.
Project type:
Operating programs
Project duration (start):
01.09.2024
Project duration (end):
31.08.2026
Principal investigator for STU:
Michaela Horváthová

Advanced Control Solutions Towards Resource Efficient Production (ACTREP)

Project code: 09I03-03-V04-00636
Beneficiary: Slovak University of Technology in Bratislava, Faculty of Chemical and Food Technology
Principal investigator: Ing. Michaela Horváthová, PhD.
Project implementation period: from September 2024

The Advanced Control Solutions Towards Resource Efficient Production (ACTREP) project focuses on developing advanced control methods for industrial processes that contribute to the more efficient use of energy and other production resources.

The main objective of the project is to design energy-efficient control methods that are stable, safe, and suitable for practical implementation on hardware with limited computational resources. The research encompasses the development of new algorithms, mathematical certification of their properties, optimisation for embedded systems, experimental validation, and the creation of publicly available open-source tools.

Main Research Areas

The project focuses primarily on:

  • developing new and improving existing energy-efficient control methods;

  • certifying control methods in terms of stability, safety, and reliability;

  • implementing the proposed algorithms on computationally constrained devices;

  • experimentally validating the methods using laboratory equipment;

  • fostering international research collaboration; and

  • publishing the results and communicating them to both the scientific community and the general public.

Research Outputs and Open Science

The project results are continuously disseminated through scientific publications, conference contributions, and professional and public-engagement activities. Source code, selected implementations, and other project materials are made available in the project’s publicly accessible repository:

GitHub repository:
https://github.com/Michaela32/ACTREP---Fellowship-for-Excellent-Researchers

Public Engagement and Science Communication

The ACTREP project also aims to introduce the general public to topics related to automation, artificial intelligence, and advanced control. As part of the public-engagement activity “How Does Artificial Intelligence Think?”, participants were introduced in an accessible manner to the fundamental principles of artificial intelligence and automation, as well as their application in the control of technological processes.

The event also included a visit to the laboratories of the Institute of Information Engineering, Automation, and Mathematics at the Faculty of Chemical and Food Technology, Slovak University of Technology in Bratislava. Participants were introduced to the experimental equipment and learned about the practical applications of research results in the field of automatic control.

The project Advanced Control Solutions Towards Resource Efficient Production (ACTREP), project code 09I03-03-V04-00636, is funded by the European Union through NextGenerationEU under the Recovery and Resilience Plan of the Slovak Republic.

Publications

2026

  1. M. Horváthová – Y. Jiang – J. Holaza – S. Olaru – J. Oravec: Variance-Adaptive Approximated Model Predictive Control. In 2026 European Control Conference (ECC), IEEE, Reykjavík, Iceland, pp. 523–529, 2026.
  2. M. Horváthová – K. Kiš – M. Klaučo – J. Oravec: Supervised learning for robust predictive control: Safe and tunable approach. Neurocomputing, no. 132637, vol. 671, pp. 132637, 2026.
  3. P. Valábek – M. Horváthová – M. Klaučo: Deep Koopman Economic Model Predictive Control of a Pasteurisation Unit. In 2026 European Control Conference (ECC), IEEE, Reykjavík, Iceland, pp. 19–24, 2026.
  4. P. Valábek – M. Horváthová – G. Pannocchia – M. Klaučo: Experimental Validation of Deep Koopman MPC for Real-Time Pasteurization Unit Control. Control Engineering Practice, vol. 167, 2026.

2025

  1. M. Fikar – M. Kvasnica – R. Paulen – M. Klaučo – J. Oravec – M. Kalúz – M. Horváthová – Ľ. Horanská: Matematické aspekty strojového učenia a ich vplyv na riadenie procesov III.. In Matematické aspekty strojového učenia a ich vplyv na riadenie procesov III., SCHK FCHPT STU v Bratislave, no. 3, 2025.   Zenodo
  2. M. Horváthová – P. Valábek – K. Kiš – L. Galčíková: Experimental Application of Stochastic Approximated MPC. Editor(s): R. Paulen and M. Fikar and J. Oravec, In Proceedings of the 2025 25th International Conference on Process Control, IEEE, pp. 130–135, 2025.

Investigators


Responsibility for content: Ing. Michaela Horváthová, PhD.
Last update: 08.01.2024 10:11
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