Date and Place: Thursdays and hybrid (live in 32-349/online via Zoom). For detailed dates see below!
Content
In the Scientific Computing Seminar we host talks of guests and members of the SciComp team as well as students of mathematics, computer science and engineering. Everybody interested in the topics is welcome.
List of Talks
Event Information:
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Wed19Feb2020
SC Seminar: Max Aehle
10:00SC Seminar Room 32-349
Max Aehle, TU Kaiserslautern
Title:
Introduction to Model Predictive ControlAbstract:
Model Predictive Control (MPC) is a methodology for controller design. Assuming that the controlled system P (plant) is adequately approximated by another system M (model), MPC iteratively determines its control action by the following strategy: Compute a control sequence that is optimal for M over a certain prediction horizon, and send only the first part of it as actual control input to P. Iterate this.
This method has been employed in a paper by Aleksić-Roeßner, King et al (2014) to reduce vortex shedding behind a cylinder. We will review the authors’ derivation of the reduced-order model M approximating P, and present an introduction to different control methodologies culminating in MPC. Finally, a plan for (another) computational validation of their affirmative result is laid out.