Schedule (preliminary) for System Identification 2024

Date	Notes	Chapters	Problems
Nov 6, 10:15-12:00, Nollstället	Introduction, linear systems	1, 2, 3	2G.4, 2E.2, 2E.3, 3G.2, 3E.4
Nov 13, 10:15-12:00, Systemet	Linear and nonlinear models	4, 5	4G.4, 4G.5, 4E.1, 4E.3, 5G.1, 5E.2
Nov 22, 10:15-12:00, Nollstället	Nonparametric methods	6	6G.1, 6G.3, 6G.5
Nov 27, 10:15-12:00, Systemet	Parametric methods	7	7G.1, 7G.4,7E.1, 7E.3
Dec 5, 10:15-12:00, Nollstället	Data discussion	-	Computer exercises (the datasets are available in Matlab or distributed via Teams)
Dec 10, 13:15-15:00, Systemet	Asymptotic theory	8, 9	8G.2 8G.3, 8E.3, 9G.2, 9E.3, 9E.4
Dec 17, 10:15-12:00, Systemet	Implementation aspects	10, 11	10G.3, 10E.1, 10E.3, 11E.4, 11D.1, 11E.3
Jan 8, 10:15-12:00, Systemet	Experiment design, closed-loop identification	12, 13	13G.2, 13E.1, 13E.3
Jan 17, 10:15-12:00, Systemet	User choices, summary	14, 15, 16, 17	14G.2, 15E.1, 16G.1, 16E.2, 16E.3
Jan 22, 13:15-15:00, Visionen	Project presentations	-	-

• The exam is written during three days (72h) that are selected individually within the period Feb 1, 2025 - Mar 31, 2025.
• It is recommended that the participants meet an additional time per week, without the lecturer, to discuss the problems.
• An errata list for the textbook is available here.
• The course contains two tasks to be performed in groups of 1-3 students: A data investigation using system identification methods applied to real data and a small (optional) project focused on a particular theoretical result or a novel method.

Data investigations

Working with real datasets is an essential part of the course. The participants should form groups of 1-3 persons and select a dataset to investigate and talk about at Lecture 5. Some data sources:

• The DAISY database
• Nonlinear system identification benchmarks

Project

The participants can choose to carry out a small project about some particular aspect of system identification (a theoretical result, a novel method, something related to his/her own research project, etc.). A completed project gives 3 additional course credits.

Informationsansvarig: Martin Enqvist
Senast uppdaterad: 2024-11-21