AIA

AI in Automation provide Applications and Limitations of AI Methods in Automation Systems:

Fuzzy Systems: Application: Fuzzy Control (FC)
Linear Regression: Application: Model Identification, Visualization, and Regression
Logistic Regression: Application: Model Identification, Visualization, and Classification
Neural Networks (NN): Application: Model Identification, TinyML
Decision Trees (DT) and Random Forest (RF): Application: Model Identification, Visualization, and Classification
Genetic Algorithms (GA), Simulated Annealing (SA), Differential Evolution (DE): Application: Stochastic Optimization
Practical Experiences with the presented methods using Matlab/Simulink and Python

In-person lecture with integrated tutorial
Lectured in English on Thursdays from 12:15 p.m. to 1:45 p.m. in Buildung A5 1 - Room I (-1.22)
First lecture on Thursday, 16.10.2025, 12:15 p.m. to 1:45 p.m.
Exercise on Monday from 2:15 p.m. to 3:45 p.m. (every two weeks)
First exercise on Monday, 20.10.2025, 2:15 p.m. to 3:45 p.m.
We use Microsoft Teams for organization, scheduling practice sessions, and distributing materials. To participate in the event in the 2025/2026 winter semester, please join the team [158863] WiSe 25/26 AI in Automation in Microsoft Teams using the code 4np626s