• General
• Lectures
• Exercises
• Labs
• - Lab 1
• - Lab 2
• - Lab 3
• Exam

Modelling and Learning for Dynamical Systems (TSRT92)

Labs

The course includes the following three compulsory labs:

• Robot modeling (4 h)
• Identification (2 h data collection + report + peer review)
• Nonlinear System Identification (4 h)

The identification lab contains more independent work, in groups of two. It consists of two hours of data collection in Laboteket, followed by independent data analysis which is to be documented in a written lab report and then peer reviewed.

Note: You need to be well prepared to pass the labs. Do the preparatory exercises before each lab and don't hesitate to ask teaching assistants if you have any questions.

Lab sign-up

The sign-up for all labs is done using Lisam.

Lab contact person: Gustav Zetterqvist.