Štrbské Pleso, Slovak Republic, June 11-14, 2019


Plenary lectures

D. Dochain (UCLouvain, Belgium): Survey of parameter and state estimation for (bio)chemical systems - A personal perspective

Abstract: A key question in process control is how to monitor reactant and product concentrations in a reliable and cost effective manner. However, it appears that, in many practical applications, only some of the concentrations of the components involved and critical for quality control are available for on-line measurement. For instance, dissolved oxygen concentration in bioreactors, temperature in non-isothermal reactors and gaseous flow rates are available for on-line measurement while the values of the concentrations of products, reactants and/or biomass are often available via on-line analysis. An interesting alternative which circumvents and exploits the use of a model in conjunction with a limited set of measurements is the use of state observers.

Historically state observers have been designed for linear systems more in the context of the duality controllability/observability and often included in a closed loop, but little attention had been paid on the issue of coming up with reliable estimates of the state, i. e. with respect to model uncertainty in particular. The design of robust observers is yet an central issue for (bio)chemical systems, especially when considering the sensitivity of the proposed models with respect to the system kinetics in particular.

The present plenary lecture will first review some of the limitations of Luenberger/Kalman observers, and then propose a number of alternatives that have been proposed over the years.

S. Engell (TU Dortmund, Germany): Robust NMPC by Multistage Optimization - Basic idea and further developments

Abstract: To be added later.

Workshops - free of charge, available to all participants

M. Villanueva (ShanghaiTech, China): Robust Model Predictive Control

G. Hulkó (STU, Slovakia): Control of Distributed Parameter Systems - An Engineering Approach

Abstract: In the scope of this tutorial a basic structure of an engineering approach in control of distributed parameter systems will be presented based on numerical models of controlled technological and manufacturing processes. The decomposition of the dynamics and synthesis of control into time and space components will be introduced along with the distributed parameter open loop control, feedback control loop and feedback control loop with an internal model. Moreover, the software support DPS Blockset for Simulink a third-party software product of The MathWorks Company will be demonstrated with automatized design of distributed parameter control loops. Finally, some specific model control tasks and temperature field control in shape and continuous casting processes will be discussed.