The International Conference on Process Control is a biannual international conference organized by STUBA and sponsored by the Institute of Electrical and Electronics Engineers (IEEE). Process Control 2023 (PC23) brings together experts in control from academia and industry and, thus, is an ideal platform for increasing the visibility of STUBA as well as of the partners. Equally importantly, the PC23 conference provides ideal opportunities for fostering joint work with industrial partners that may serve as project partners in future Horizon Europe projects.

the 24th International Conference on Process control

The 24th International Conference on Process Control was organized by the team from STUBA and was held on June 6-9, 2023 in Štrbské Pleso, Slovakia.

Miroslav Fikar

At the conference, the FrontSeat General Assembly Meeting was held on June, 6.

Radoslav Paulen

We published several joint papers and organized the Invited session organized by FrontSeat partners. The invited session “Advances in Model Predictive Control and Machine Learning” was organized on June, 7. The Chairperson was Prof. Miroslav Fikar (STUBA), the Coordinator of the Horizon Europe Project FrontSeat. The presented papers in this invited session were the following:

Presentation on Simple Controller Tunning for Unmanned Aerial Vehicles using Governors

Dyrska, R. – Müller, J. – Fikar, M. – Mönnigmann, M.: Simple Controller Tuning for Unmanned Aerial Vehicles using Governors

 Acid Gas Removal Unit in Waste-to-energy Plants: Data-driven Models for Advanced Control

Vaccari, M. – Bacci Di Capaci, R. – Pannocchia, G.: Acid Gas Removal Unit in Waste-to-energy Plants: Data-driven Models for Advanced Control

Tube MPC Extension of MPT: Experimental Analysis

Holaza, J. – Kvasnicová, K. – Pavlovičová, E. – Oravec, J.: Tube MPC Extension of MPT: Experimental Analysis

MPC-Mimicking Neural Network Based on Homomorphic Encryption

Kalúz, M. – Kohút, R. – Dzurková, D.: MPC-Mimicking Neural Network Based on Homomorphic Encryption

Machine Learning-based Classification of Online Industrial Datasets

Fáber, R. – Ľubušký, K. – Paulen, R.: Machine Learning-based Classification of Online Industrial Datasets

Real-Time Outlier Detection with Dynamic Process Limits

Wadinger, M. – Kvasnica, M.: Real-Time Outlier Detection with Dynamic Process Limits

On June 9, Prof. Gabriele Pannocchia (UNIPI) delivered the plenary lecture entitled “Control and Optimization in the Presence of Uncertainties: Theory and Practice“.

Prof. Gabriele Pannocchia (UNIPI)

This plenary talk addressed the general objective of how to regulate and optimize a process on the basis of an available model which, in general, describes the actual process behavior in an approximate way. The presence of systematic uncertainties, such as gain errors, poses challenges to model-based control and optimization methods so that without adequate compensation strategies there is permanently suboptimal behavior, such as offset.

Conference attendees

Together with the international committee, the organizers of PC23 recognized the excellent research works in four special categories:

  • Best Paper Award
  • Best Paper by Female Researcher Award
  • Best Paper by Young Author Award
  • Best Poster Award

see the page dedicated to the Awards for more details.

Finally, except for other activities, the communication of the project FrontSeat to the wide international audience was also supported by the FrontSeat roll-ups placed in the main conference hall, distribution of the conference materials to the conference participants including various promoting materials with the FrontSeat logo, and other visual elements.

High Tatras

This project has received funding from the European Union’s Horizon under grant no. 101079342 (Fostering Opportunities Towards Slovak Excellence in Advanced Control for Smart Industries).


0 Comments

Leave a Reply

Avatar placeholder

Your email address will not be published. Required fields are marked *