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Economic Model Predictive Control: Optimality, Robustness and Distributed Implementation
Date: 2018/4/23             Browse: 63

Speaker:     Dr. Matthias A. Müller, University of Stuttgart

Time:          15:00—16:00, Apr 23

Location:    Room 1A-200, SIST Building

Host:          Prof. Boris Houska


Model predictive control (MPC) is an optimization-based control technology, which has found successful application in many different industrial fields. It consists of repeatedly solving a finite horizon optimal control problem and then applying the first part of the solution to the considered system. The main advantages of MPC and the reasons for its widespread success are that (i) satisfaction of hard input and state constraints for the closed-loop system can be guaranteed, (ii) optimization of some performance criterion is directly incorporated in the controller design, and (iii) it can be applied to nonlinear systems with possibly multiple inputs.

In this talk, we focus on some recent developments in the field, so called economic MPC schemes. Here, in contrast to the classical control objective of stabilization, a more general performance criterion is considered which is possibly related to the economics of the considered system. In this case, the optimal operating behavior might not be stationary, but can be more complex (e.g. periodic). We present conditions that guarantee both closed-loop performance bounds and convergence to the optimal operating behavior. Furthermore, we discuss the development of economic MPC schemes for uncertain systems as well as different relevant aspects for a distributed implementation in the context of large-scale systems.


Matthias A. Müller received a Diploma degree in Engineering Cybernetics from the University of Stuttgart, Germany, and an M.S. in Electrical and Computer Engineering from the University of Illinois at Urbana-Champaign, US, both in 2009. In 2014, he obtained a Ph.D. in Mechanical Engineering, also from the University of Stuttgart, Germany, for which he received the 2015 European PhD award on control for complex and heterogeneous systems. He is currently working as a senior lecturer (Akademischer Oberrat) at the Institute for Systems Theory and Automatic Control at the University of Stuttgart. His research interests include nonlinear control and estimation, model predictive control, distributed control and switched systems, with application in different fields including biomedical engineering.

SIST-Seminar 18022