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System Identification
Course type
Gives the fundamental theory of identification of dynamical systems, i.e. how to use measured input-output data to build mathematical models, typically in terms of differential or difference equations.
Periodicity
Every 2 years.
Current Information for Spring 2016
The course will start on Wednesday January 13 at 13.15 in Algoritmen.Prerequisites
Basic undergraduate courses in statistics, signals and systems. Examples: TAMS08, TSRT12, TAMS45 or TSIT64, TSRT64
Contents
- The mathematical foundations of System Identification
- Non-parametric techniques
- Parametrizations and model structures
- Parameter estimation
- Asymptotic statistical theory
- User choices
- Experimental design
- Choice of model structure
Literature
L. Ljung: System Identification: Theory for the User. Prentice Hall 1999, 2nd ed
Contact person
Professor,
Lennart Ljung,
(ljung@isy.liu.se), (phone:
+46 13 281310)
Informationsansvarig: Lennart Ljung
Senast uppdaterad: 2019-01-14
