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Quo Vadis Model Predictive Control? From Stabilizing to Distributed Economic MPC

During the past decades model predictive control (MPC) has become a preferred control strategy for the control of a large number of industrial processes, and systems theoretic properties of MPC like stability and robustness are rather well understood by now. With the vision of the smart factory of the future, generally termed Industry 4.0, the industrial environment, and thus the involved control tasks, are however undergoing a fundamental new orientation on the basis of the Cyber-Physical Systems and Internet of Things and Services paradigms. In the future all parts along the production chain will be equipped with embedded computing, communication and networking capabilities and are expected to interact in an optimal way towards the goal of a quality oriented, energy and resource efficient, save and reliable production process. Through decentralized optimal decision-making and an appropriate communication among the networked individual parts, the whole production process of the future is expected to operate optimally. The stabilization of predetermined setpoints will not play the same role as it has in the past. In this presentation the challenges and opportunities of Industry 4.0 for the field of control are discussed. We will in particular investigate the potential impact of Model Predictive Control (MPC) for the fourth industrial revolution and will argue that some new developments in MPC, especially connected to distributed and economic model predictive control, appear to be ideally suited to have a potential impact in the new Industry 4.0 environment.

Type of Seminar:
Control Seminar Series
Prof. Frank Allgöwer
University of Stuttgart
Nov 13, 2017   17:15 h

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Biographical Sketch:
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 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 served as IEEE CSS Vice-President for Technical Activities over recent years and 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 co-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).