IFAC president, Director of the Institute for Systems Theory and Automatic Control and Professor, Mechanical Engineering Department, University of Stuttgart, Germany.
Talk Title: Current trends in model predictive control
During the past decades model predictive control (MPC) has become a preferred control strategy for the control of a large number of industrial control problems from distillation control to autonomous driving. Computational issues, application aspects and systems theoretic properties of MPC (like stability and robustness) are rather well understood by now and the theory is well developed even for nonlinear systems. However, during the past couple of years there have been some exciting new trends in MPC that promise to change the field in a lasting way. In this overview presentation we will give an introduction to and an overview over the general field of model predictive control focusing on the new trends.Abstract
Most prominently one of those trends concerns the control objective to be achieved. In standard MPC formulations, the considered control objective is typically the stabilization of some (given) setpoint or trajectory to be tracked. In contrast, the main focus in so-called "economic MPC" is on closed-loop performance where the cost to be optimized is directly related to some economic objective. This shift in the typical control task to be solved is especially of interest for many industrial applications like robot control, autonomous mobility, or industrial production processes in the framework of Industry 4.0, and will be discussed in the talk.
Secondly, interesting new results for "distributed economic model predictive control" for the control of networks of systems have been developed recently and will be presented in the talk.
And, thirdly, the new possibilities arising from data science and learning have also led to exciting new developments in MPC that will also be briefly addressed in this presentation.
Frank Allgöwer is director of the Institute for Systems Theory and Automatic Control and professor in Mechanical Engineering at the University of Stuttgart in Germany. Frank's main interests in research and teaching are in the area of systems and control with a current emphasis on the development of new methods for optimization-based control, networks of systems, data-based control and systems biology. Frank received several recognitions for his work including the IFAC Outstanding Service Award, the IEEE CSS Distinguished Member Award, the State Teaching Award of the German state of Baden-Württemberg, and the Leibniz Prize of the Deutsche Forschungsgemeinschaft. Frank is President of the International Federation of Automatic Control (IFAC) for the years 2017-2020. He was Editor for the journal Automatica from 2001 to 2015 and is editor for the Springer Lecture Notes in Control and Information Science book series and has published over 500 scientific articles. Since 2012 Frank serves a Vice-President of the German Research Foundation (DFG).