- Control and Optimization in the Presence of Uncertainties: Theory and Practice by Gabriele Pannocchia (University of Pisa, Italy)
- AI or Process Control – Process Understanding and Good Dynamic Modelling Remains Key by Stefan Krämer (Bayer AG, Germany)
- Best Paper Award: to be assigned
- Best Paper by Female Researcher Award: to be assigned
- Best Paper by Young Author Award: to be assigned
Plenary Lecture I
Control and Optimization in the Presence of Uncertainties: Theory and Practice
by Gabriele Pannocchia (University of Pisa, Italy)
Bio: Gabriele Pannocchia received a Ph.D. in Chemical Engineering from the University of Pisa (Italy) in 2002, where he is a Full Professor since 2020. He held a Visiting Associate position at the University of Wisconsin – Madison (WI, USA) in 2000/2001 and in 2008. Dr. Pannocchia is the author of about 140 papers in international journals, book chapters, and proceedings of international conferences. Dr. Pannocchia is Senior Editor for the Journal of Process Control, served as Associate Editor of Automatica, and is Vice-Chair for Education of the IFAC TC 2.4 (Optimal Control). Dr. Pannocchia was IPC co-chair of the IFAC Symposium DYCOPS 2013 held in Mumbai (India), Area Co-Chair/Associate Editor in IFAC DYCOPS 2016, IFAC World Congress 2017, IFAC NMPC 2018, UK Control 2018, IFAC World Congress 2020. He has been a plenary speaker at the 4th IEEE Colombian Conference on Automatic Control, and keynote speaker at several international congresses (IFAC DYCOPS 2010, IFAC NMPC 2015, IFAC DYCOPS 2016, IFAC ADCHEM 2018). Dr. Pannocchia was the NOC Chair of IFAC ADCHEM 2021 and IPC Chair of IFAC NMPC 2021. His research interests include model predictive control systems, process simulation and optimization, numerical optimization, multivariable systems identification, performance monitoring, and industrial implementations of advanced control systems.
Plenary Lecture II
AI or Process Control – Process Understanding and Good Dynamic Modelling Remains Key
by Stefan Krämer (Bayer AG, Germany)
Bio: Stefan Krämer is a chemical engineer and Head of Process Performance Improvement (PPI) at Bayer, Leverkusen. PPI is globally working on improving the operation and energy efficiency of production processes with the aid of simulation, data analysis and process control. At NAMUR (the User Association of Automation Technology in Process Industries, www.namur.net), he is the leader of the work area 2 “WA 2 Automation Systems for Processes and Plants”. Stefan also teaches “Batch Process Operation” as an adjunct professor at the Technical University of Dortmund and has participated in several EU projects dealing with resource efficiency, which resulted in the publication of a number of scientific papers and the book “Resource Efficiency of Processing Plants”. He currently represents Bayer in the KEEN project – Artificial Intelligence in the Process Industry.
Semi-Plenary Lecture I
Analytical design of a wide class of controllers with two tunable parameters based on H∞ specifications
by Michal Brabec and Miloš Schlegel (University of West Bohemia, Czech Republic)
Bio: Michal Brabec is a Ph.D. student in the Department of Cybernetics at the University of West Bohemia in Pilsen and collaborates on research within the Centre of Excellence “NTIS – New Technologies for the Information Society”. His field of interest includes research and development of new process control methods and tools applicable to the industry, with a focus on robust control and the automatic tuning of industrial controllers. He has been involved in several research projects. In addition to his research work, he is also involved in teaching undergraduate and graduate students.
Bio: Miloš Schlegel received M.S. and Ph.D. degrees in technical cybernetics from the Institute of Mechanical and Electrical Engineering in Pilsen, in 1976 and 1985, respectively. From 1977 to 1990, he worked in ŠkodaWorks, Central Research Institute, as Head of Automatic Control Group. From 1990 to 1990, he served as Director of Easy Control Ltd. In 2000, he joined the University of West Bohemia, where he is presently a Professor and Head of the Research Program at the European Centre of Excellence—New Technologies for Information Society. His research interests include linear systems, robust control, model-based predictive control, automatic tuning of industrial controllers, and computer-controlled systems. Most of his 150 papers deal with the design and tuning of industrial controllers. He is the author or co-author of several software tools that have found wide utilization in practice. In 2019, he received an award from the Engineering Academy of the Czech Republic for the development of the power regulator of the research nuclear reactor LVR15.
ABSTRACT: First, the paper introduces a specific class of controllers with two tunable parameters called affine controllers, which includes almost all controllers with a fixed structure commonly used in industrial practice, including PI(D) controllers. The main result of this paper presents a new analytical method for the design of the H∞ affine controller based on a description of the boundary of the H∞ region in the parametric plane of the controller. A user-friendly interactive implementation of this method, supporting multiple system models, is available at www.pidlab.com. The use of this tool is also illustrated by an example.