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Model Predictive Control in Production and Logistics
Date: 2016/4/7             Browse: 242

Model Predictive Control in Production and Logistics

Speaker: Juergen Pannek

Time: Apr 7, 3:00pm - 4:00pm.

Location: Lecture hall, Administration Center

Abstract:

Due to the increase and availability of cheap computing power, model predictive control (MPC) as a model based control method has become a very popular during the last years. Within MPC, a model of the control loop including process constraints and key performance indices is not only used within the design phase, but also at runtime. Within this talk, we will consider three topics, which span the fields of mathematics, production engineering, communications technology and business administration.

In the first part, we present MPC from a system theory point of view to show the ideas and basic properties of the method. Here, we will particularly focus on stability and feasibility in the context of optimality of the open loop solution. Within the second part, we put our focus on the very new field of supplier development. Here, we will show how properties of MPC can be used to generate an added value to an actually very well known process, which plays a vital role in the context of Industry 4.0 to generate flexibility within a production supply chain. Last, we extend our controller setting to the distributed case and focus on the application of networked driving. To conclude the presentation, we will show several projects of MPC in the fields of robotics, in-house logistics and production systems with reconfigurable machine tools.

Bio:

Jürgen Pannek studied financial mathematics at the University of Bayreuth and the University of Warwick from 1999 to 2005. Thereafter, he worked as scientific assistant at the University of Bayreuth and completed his PhD thesis Receding Horizon Control: A Suboptimality based Approach in 2009. He continued working at the University of Bayreuth within the DFG priority program Control Theory of Digitally Networked Systems. In 2010 he received a PostDoc grant from the Germany Academy of Natural Sciences Leopoldina and continued his research at Curtin University of Technology Perth. After returning to Germany, he worked within the Faculty of Aerospace Engineering at the University of the Federal Armed Forces Munich, where he was responsible for the startup of the robotic laboratory. In February 2014, he took over the assistant professorship Dynamics in Logistics at the University of Bremen.

 

SIST-Seminar 16024