IRTG Modern Inverse Problems (MIP)
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SSD Seminar Series with Prof. Dr. Johann Sebastian Trimpe

8. Februar 2021 @ 16:00 - 17:00

Prof. Dr. Johann Sebastian Trimpe – Event-triggered Learning

Institute for Data Science in Mechanical Engineering, RWTH Aachen University



The ability to learn is an essential aspect of autonomous systems facing uncertain and changing environments. However, the process of learning a new model or behavior often does not come for free, but involves a certain cost. For example, gathering informative data can be challenging due to physical limitations, or updating models can require substantial computation. Moreover, learning for autonomous agents often requires exploring new behavior and thus typically means deviating from nominal or desired behavior. Hence, the question of „when to learn?“ is essential for the efficient and intelligent operation of autonomous systems. We have recently proposed the concept of event-triggered learning (ETL) for making principled decisions on when to learn new dynamics models. Building on the core idea of learning only when necessary, we haved developed concrete triggers and theory for different domains. In the context of networked and interconnected systems, ETL leads to superior communication savings over standard event-triggered control. For linear quadratic control, ETL automatically detects inaccurate models and yields improved control performance under changing dynamics. In this talk, we present the concept, theoretical results, and experimental applications of ETL.

Sebastian Trimpe is a Full Professor at RWTH Aachen University, where he heads the Institute for Data Science in Mechanical Engineering (DSME) since May 2020. Research as DSME focusses on fundamental questions at the intersection of control, machine learning, networks, and robotics. Before moving to RWTH, Sebastian was a Max Planck and Cyber Valley Research Group Leader at the Max Planck Institute (MPI) for Intelligent Systems in Stuttgart, Germany, where he keeps a side appointment at present. Sebastian obtained his Ph.D. degree in 2013 from ETH Zurich with Raffaello DíAndrea at the Institute for Dynamic Systems and Control. Before, he received a B.Sc. degree in General Engineering Science in 2005, a M.Sc. degree (Dipl.-Ing.) in Electrical Engineering in 2007, and an MBA degree in Technology Management in 2007, all from Hamburg University of Technology. In 2007, he was a research scholar at the University of California at Berkeley. Sebastian is recipient of the triennial IFAC World Congress Interactive Paper Prize (2011), the Klaus Tschira Award for achievements in public understanding of science (2014), the Best Demo Award of the International Conference on Information Processing in Sensor Networks (2019), and the Best Paper Award of the International Conference on Cyber-Physical Systems (2019).


8. Februar 2021
16:00 - 17:00


a link for the Zoom meeting room will be send in the newsletter one week before the seminar starts. If you want to participate, please send an email to office@aices.rwth-aachen.de to get the zoom link.