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Machine Learning for Process Control

Numerous real-world processes need to be kept under control in order to ensure safety or efficiency. Machine learning models are good candidates for this. They can for example detect shifts/anomalies/decalibrations/instabilities/etc. and possibly also predict which action needs to be taken on the process. The real-time nature of such tasks brings unique challenges from a ML perspective compared to classical application of ML. This seminar will explore relevant ML methods such as online/reinforcement learning and real-time data analysis. Use cases in manufacturing and intensive care will be covered. Students will select a few papers from a pool of thematically relevant research papers, which they will read and present over the course of the semester.


Dozent/inProf. Dr. Grégoire Montavon
RaumTakustr. 9 049
Beginn20.10.2023 | 16:00
Ende16.02.2024 | 18:00

Friday 4-6 p.m.

Links auf Kursbeschreibung